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Tag: smb

  • Bluevine’s AI chatbot resolves 80% of customer queries

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    Bank services provider Bluevine is seeing improved customer experience and efficiency through deployment of AI.  Chief Product Officer Herman Man told FinAi News Bluevine uses AI to provide its small and medium-sized business clients with:   Fraud monitoring;   Software development;  Customer assistance and servicing; and   Aiding the underwriting process.   “We’re focused on deploying AI on tasks that are tangible and provide simple solutions for our customers that will make their day-to-day better,” Man said. “For instance, we […]

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  • Finastra’s AI solution saves 2 hours on each loan closure

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    Finastra is looking to help its bank clients streamline their mortgage lending processes with AI with multiple lending solutions.  The London-based fintech has launched multiple AI-driven solutions including Loan IQ and LaserPro and is seeing banks gain efficiencies with its offerings, Andrew Bateman, executive vice president at Finastra’s lending business unit, told FinAi News. Loan IQ helps banks track their existing loans; LaserPro allows financial institutions to manage documentation and compliance on one platform, Bateman explained.  “To understand the impact, you need to look at loan closure rates and the time […]

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  • Finastra’s AI-powed solution saves 2 hours on each loan closure

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    Finastra is looking to help its bank clients streamline their mortgage lending processes with AI with multiple lending solutions.  The London-based fintech has launched multiple AI-driven solutions including Loan IQ and LaserPro and is seeing banks gain efficiencies with its offerings, Andrew Bateman, executive vice president at Finastra’s lending business unit, told FinAi News. Loan IQ helps banks track their existing loans; LaserPro allows financial institutions to manage documentation and compliance on one platform, Bateman explained.  “To understand the impact, you need to look at loan closure rates and the time […]

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  • Fintech Enova International to acquire digital-first Grasshopper Bank for $369M

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    Publicly traded fintech Enova International (NYSE: ENVA) said today it has agreed to acquire Grasshopper Bancorp and subsidiary Grasshopper Bank in a cash-and-stock deal valued at about $369 million. ENVA stock jumped 11.7% to $157.92 today. Grasshopper, a digital-first bank founded in 2019, holds more than $1.4 billion in assets and roughly $3 billion in […]

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  • Podcast: Casca CEO Lukas Haffer on opportunities for AI in small business lending

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    That’s the reality that Lukas Haffer, chief executive of AI-native loan origination provider Casca, tells FinAi News on this episode of “The Buzz” podcast. 

    For small business owners, the “No. 1 problem is access to capital,” he says. The time it takes to close a Small Business Administration loan, one guaranteed by the SBA, is 90 days, Haffer says. 

    No one has time for that, he says. And this is where AI and a streamlined experience come in. 

    Manual procedures in the lending process, including document collection, analysis and communication, can be streamlined with AI, he says. In fact, Casca is working with financial institutions to do just that. 

    For example, when a client sends an email, creating a response that includes personalized messaging, previous correspondents, and necessary information, it can take 20 to 25 minutes, Haffer says. With Casca, that message can be created in 63 seconds. 

    Casca, founded in 2023, continues to grow. Its most recent fundraise consisted of $29 million in a series A round, bringing total funding to $33 million, according to the company. The round was led by Canapi Ventures. Live Oak Bank, Huntington National Bank and Bankwell Bank also participated. 

    Listen to “The Buzz” as Haffer discusses the opportunity for AI in small business lending and where Casca plans to expand its business. 

    Register here for early-bird pricing for the inaugural FinAi Banking Summit 2026, taking place March 2-3 in Denver. View the full event agenda here. 

    The following is a transcript generated by AI technology that has been lightly edited but still contains errors.

    Whitney McDonald 11:17:02
    Hello and welcome to The Buzz a FinAi News podcast. My name is Whitney McDonald and I’m the editor of fin AI news. Fin AI news has rebranded from bank automation news, marking the next step in our mission to lead the conversation on innovation and Financial Services Technology. Joining me today, November 11, 2025 is Lucas Hafer, CEO of AI native loan origination provider, Casca. Lucas, is here to discuss the role of AI in streamlining the lending process, specifically for small businesses. Thanks for joining us,Lukas Haffer 11:17:31
    Lucas, of course. Thanks for having me. Whitney, I’m Lucas. I’m the CEO and one of the two co founders of Casca. I have a background in banking software. I basically spent my entire career building, maintaining, deploying core banking systems, not a career I can recommend to anyone. Core banking systems are a pain, but it did give me a pretty solid understanding of how the underlying it, infrastructure of a bank really works all the way from the mobile and online banking at the front to the connection to the exchanges, the payment rails, the regulatory reporting on the back. And then I spent two years at Stanford really diving deep into computer science and machine learning. And at the end of it, started Casca with a mission to bring the innovation and technology that I saw in academia and research back into the real world, into the world of banking that I had spent my entire career in, to have a real world impact, to automate tedious, repetitive work and lead to magical, better customer experiences.
    Whitney McDonald 11:18:35
    Well, we will definitely get into all of that, the AI behind Casca, and how that all works. But before we do, let’s kind of talk bigger picture here. We’re going to talk through the state of small business lending. Where are there gaps here? Where can AI fit into those gaps? But let’s kind of, you know, start back one step and just talk about the gaps that need to be addressed in the small business lending space.
    Whitney McDonald 11:19:01
    Yeah, let’s talk about the reality of running a small business in the United States. Your number one problem is access to capital, regularly cited in surveys and statistics. And if you talk to a small business owner, what they’ll tell you is that if you’re looking for capital for your small business, you’re not going to Silicon Valley venture capitalists. You are looking for a loan, and you have two sub optimal alternatives right now. You either go to a bank and they will give you if you go to the right one, the best conditions, the lowest interest rates, the best terms, but it’s going to take forever. The average time to close an SBA loan, that’s one that’s guaranteed by the Small Business Administration. That’s typically the best funding for a small business owner that’s starting out, trying to expand, trying to acquire another business. The average time to close one of those is 90 days. And let’s be real. Ain’t nobody got time for that 90 days you are trying to get that funding for that big inventory purchase, for that big contract that you just won. If it takes 90 days to get the funding, you might lose out on that business opportunity. So the second alternative that many small business owners now fall prey to is the tremendous number of predatory online lenders that have spawned up that will give you the funding really, really quickly, and then you have a rude awakening when you realize now you’re paying 45% APR I now see On a regular basis, small businesses apply for funding through our system that have merchant cash advances on their balance sheet that clock in at aprs above 100% and I don’t know about you and about our listeners here, but to me, that’s not okay, that is not adequate, that’s not ethical, that’s not moral. I don’t even know how that stuff’s legal, but we’re in America, so our response is we compete on the open market. The banks have the better interest rates. They have the better conditions. What they lack is the technology to compete with the online lenders, and that’s where Casca comes in. Our mission is to help the trusted banks in America to put additional billions of dollars of funding into the hands of small business owners by giving them the technology that they need to do it faster and with less manual effort.Whitney McDonald 11:21:27
    Let’s talk about some of the manual effort that still exists in the in the lending process that does hold up, you know, speed to lending and how AI can address those gaps.Lukas Haffer 11:21:37
    Yeah, I mean very practically. If you’re a small business owner, you’re looking for funding, you go to the bank’s website, and the first problem is you’re searching for that apply now button where you can start your application. Many times it doesn’t even exist. Many times there’s a little contact form or a list of email address. Of loan officers to reach out to, which immediately causes churn. That’s an opportunity for any bank to make an immediate impact, even before we think about AI just have a proper online application. Problem is now with this process, you end up in 90 days of back and forth emailing, because the process starts in email, it continues an email. And what happens over those 90 days is you reach out, I would like some funding. Here’s a little bit of information about my business. You get back a list of questions you answer to the questions. You get a list of more questions you answer to those questions. You get a PDF form. You fill out the PDF form, you get feedback. The PDF form was filled out the wrong way. You fill it out again, and that process continues until the bank has gathered all the information they need to make a good underwriting decision, which typically is multiple years of tax returns, bank statements, projections based on the management’s view on to the company. And because it’s all manual, emailing back and forth. That means there are two three day turn times between each of these cycles. That’s how you get to 90 days. It’s 90 days of I respond to the banker on Saturday, because throughout the week I’m running my business, the banker is not working on Saturday. So now on Monday I get the feedback. Well, Monday is the busiest day in my business, so I’m going to respond whenever I get the time, maybe on Wednesday night, and then the banker responds to me Thursday morning. Now I’m busy, and I’ll respond the next time on the weekend. And now the exchange of just a little bit of information took forever. Once the bank has all the information that they need. Now they need to analyze all of that information right now that’s completely manual. That’s people pulling up on one screen a PDF and on another screen an Excel sheet, and then they type things from a PDF into an excel sheet to calculate the spreading of the financials of the business, see whether the business is actually going to be able to repay the loan, and with the number of sheer documents that you collect for the average small business loan, this might take days, maybe even weeks. It’s 1000s and 1000s of pages that are manually reviewed and pulled over, and that’s just the beginning of the process. There are many more steps in order to actually compliantly close one of these loans, and all of it can actually be tremendously automated using a combination of beautiful online experiences in an application form, an applicant portal to let people self guidedly Go through applications, AI to answer simple questions for folks and follow up with them at the right points in time, and then AI to analyze all the information that came in and hundreds and hundreds of integrations with third party data sources like the credit bureaus and the Secretary of State, to gather all the information that an underwriter needs in order to make a proper decision on whether the business is going to be able to repay the loan. So that’s what cascade us. We help get the small business owner, in a self guided manner through the entire flow, and we help automate the analysis on the side for the underwriter.Whitney McDonald 11:25:13
    It’s really interesting when you put into perspective the days it takes to get back and forth. You know, Monday is a busy day. I’ll get back to you this day and, you know, the back and forth, and it’s kind of like this unending cycle that can, you know, last up to 90 days. Is there any way to quantify savings that Casca clients are seeing when they do streamline these processes. How much you know time is being saved on that back and forth?Lukas Haffer 11:25:41
    Yeah, I can give you three statistics here. Number one, this like anecdote around someone responding on the weekend isn’t just an anecdote. We now have the statistics and 63% of all interactions happen outside of banking hours. That means nights and weekends. And it makes sense, if you think about it, right? It’s a small business owner. They’re busy throughout the week. Our peak time of interaction every week is Friday night, 10:30pm again. Think about it makes sense. It sounds curious in the moment, but then think about it. It is a small business owner that just closed up the shop for the week, brought their kids to bed and is now ready to do their admin work of applying for that funding they need. Right? That is first of all statistic. This is literally what we’re seeing. And if you talk to small business owners, they also don’t want to talk on the phone with a loan officer about the loan funding they are applying for in front of their employees. They don’t want to do that throughout the week. They also don’t want to miss a day at work. They are usually one out of 1520 people running the thing. They are not managers CFOs accountants that just oversee the business they are in. It. They are living in it. They are running their small business. They don’t have time to go to the bank branch either during the week. So we live in a reality where you need to meet the small business owner where they are at, and you need to meet them during that times. Next statistic, what we see with these typical you can reach out online, fill out a contact form, we’ll send you an application. Is roughly 90% of people churn. And it makes sense again, right? You’re trying to get this done, and then all you’re met with is, let’s make an appointment. And you realize you don’t have time for this. So you go to the next link on Google, and it is some online lender that says, close in 15 minutes, and you say, that’s the only thing I can reasonably do. Or you go through the third turn of questions, and you realize this is taking forever. You don’t even know whether any end is inside. No one is giving you a clear direction on how long this is going to take. And so you turn in that moment. That’s why we see extremely high churn rates throughout these long, slow, complicated processes, and what we’ve seen when we took loans out of that into a paradigm of the small business owner can go through the online application completely on their own time, upload all the documents, get instant feedback as they go through the process, whether they check all the boxes, all the criteria that the bank has, and then can get feedback. Within 24 hours, we see conversion rates skyrocket to above 80% of people submitting full application forms, and that leads to banks just straight up closing more loans. That’s a that’s the second part of this here. On the other side, let’s look at what it takes to do follow ups with applicants over email, because you’re not getting completely out of email communication. There’s no way small business owner, busy CEO, running his business, if you send him a list, even if you send him a list of here are the like five documents I need from you in order to make a decision. And here’s a link to some people will anyways, respond via email. They won’t log into the portal. They will respond via email. And banks might try to re educate their customers, but that’s not your job. Your job is to treat every customer like the only customer need to meet them where they are at and the end result is they send you documents via email. You take the documents, you put them in the right place, and you respond to them over email. So how long does it take someone to formulate the right email if all of the information that’s necessary to write that email exists on sticky notes on your computer and within a 25 year old loan origination system, and some of it you need to come up with on the spot, some of the documents that were submitted exist inside of your email. Some of them might have been uploaded to a Dropbox somewhere, and you spend all of your time putting checklists against what do I have? What was my last message with them? It takes you between 20 minutes, 20 and 25 minutes, that’s what we’re measuring there, to have a full, full follow up email sent out to the customer that reflects all of the questions that they asked you and your responses that reflects what are the outstanding documents that we still need and what are the questions that I still have for them? While on our side, we have all of that information within one single pane of glass, because Casca is the system of record about the customer information. It is the workflow system for the origination process, and it is the CRM system for the communication with the customer. So I know exactly what information I have on the customer, what documents they have submitted. I know which ones I need in order to get them into underwriting and which ones are still missing, and I can immediately draft up a follow up message, send it out via email, SMS, and it takes someone on average, 63 seconds to approve that message to go out. So that is just me putting right side, here’s the message that the system drafted for me. Left side, here’s information that we have and information that we still need. My job is just to confirm send it out hyper personalized message that increases conversion rates, makes the customer feel like they are the only customer, because they’re getting that special white glove treatment. But it didn’t take you half of a day to respond to your 1015, leads. These are the three statistics I got for you, higher conversion rates, less manual effort, and lots of people apply on weekends.

    Whitney McDonald 11:31:23
    Yeah, no, when you can quantify and put numbers, it really puts into perspective here, especially, you know that last number that you were just sharing, you know, from 25 minutes down to about a minute 63 seconds, I think what you said, the numbers speak, speak for themselves, in what technology can do, in in streamlining, one the process for the lender and, you know, getting those conversions, but also getting the funds into the hands of the small businesses, which is, you know what, what it’s all about. Talk through some examples here. I know recently that Casca just closed. Those 29 million and some in series a funding, wondering if you could talk a little bit about that capital, what that’s being allocated to, kind of tell us a little bit about the plans for Casca. I know you talked through examples of how the technology is being used. You know, it’s it’s in action at these institutions, giving these quantifiable results and returns, but what else is is in the pipeline? Yeah,

    Lukas Haffer 11:32:21
    it’s an incredibly exciting time for us. We are very proud and grateful for the support of our investors, most of which are existing customers. We, as a technology company, see ourselves as the champion of the American banking sector, for the American banking sector. So our series, a funding round, was led by canopy ventures, which represents roughly 70 of the US banks, alongside Live Oak Bank and Huntington Bank, which are the top two SBA lenders in the country, and our existing first customer, bankwell Bank, a wonderful community bank out of Connecticut, as well as a number of existing investors that double down investors from Silicon Valley, like Y Combinator, the number one startup accelerator in the world, and a private equipment lender called Alliance Funding group, we are super excited about these investors specifically because it shows that we are partnering with the banks in order to develop great software that solves problems for their customers and for their team members. The way we work is to sit down with them and understand, what are you doing today? What are the things that you wish were easier? How can we reimagine processes together? And that is how we develop our own roadmap. You asked, what’s coming down the pipe? It’s always determined by what are the things that our customers are asking for? What are the things that they imagine? What are the problems they are facing that we can help resolve and we started with loan origination and making that much faster and much easier. We recently started working on loan servicing to also make sure that folks are making their payments on time, and that we check in regularly with the small businesses on how they are doing financially, to do annual and quarterly reviews with them. There’s a tremendous amount of potential in automating servicing processes, and we’re starting to work on what that can look like on the deposit side of the house as well, because banks that are increasing loan volumes also want to increase their deposit holdings?

    Whitney McDonald 11:34:38
    Well, you just talked through some opportunities in the space. Obviously, the reality of where AI is, how it’s being used, but the technology itself is evolving so fast, more opportunity down the pipeline, like you mentioned in servicing, you know, different processes that can be automated down the line.

    Lukas Haffer 11:34:58
    I think that two important things to realize at the same time when thinking about AI and banking. One, you said AI is developing rapidly. That’s true. That means that you can’t just rely on what worked today. There’s a revolution happening, and you have to react quickly to it, and you have to shift with it. And that means that use cases that weren’t possible two three years ago are now becoming possible and improving rapidly. A good example of that is financial spreading and underwriting, which really just only worked for tax return analysis because tax returns were highly structured documents. The numbers are always in the same places, at least for a given year in business type. But it never really worked for management prepared financials of a business because they are management prepared, they are unstructured. They might have any any format that is no longer the case, that is now possible. Those are the things that AI and large language models specifically have enabled. And so you can actually read through hundreds and hundreds of pages of rent roll documents that were hand written and extract the individual rent payments to assess whether a property is actually fully rented out and getting the cash flow that you’re projecting from it, those things weren’t possible before they are becoming possible as we speak. That’s point number one. The second point is, AI is not perfect, and that means, in a highly regulated sector, you need to build for something being probabilistic, not deterministic. So there is a chance that the number it extracts from the document is wrong, which means you can’t just let the thing extract the number and make an underwriting decision based upon it. What you need to think through is how you can build it human in the loop, how you can build it fully auditable and fully explainable. So what this means is. Instead of just saying I got the debt service coverage ratio of 1.25 for this business, so it meets our criterion, instead you say I expected at least 27 different values from this document, and I’m showing them to you. Left side, all the values. Right side, here’s the document and exactly where I got them all from. And if anything is wrong, you can just click a button and change it, and you can click on a different number and pull that number in instead, which makes it a power user interface, something for an underwriter that knows exactly what they’re doing to get their job done faster. That’s the human in the loop that’s making it explainable. Here’s why we pull that value out of that document and fully auditable, because you can see for each individual value where did it come from, and whether a human overrode it, validated it, or whether it was just pulled by the system.

    Whitney McDonald 11:37:47
    You’ve been listening to the buzz a fin AI news podcast. Please follow us on x and LinkedIn, and as a reminder, you can read this podcast on your platform of choice. Please be sure to visit us at finaI news.com. For more finaI News. Thanks for listening. You.

    Speaker 1 11:39:57
    You’ve been listening to the buzz a fin AI news podcast, please follow us on x and LinkedIn, and as a reminder, you can rate this podcast on your platform of choice. Please be sure to visit us at finaI news.com for more finaI News. Thanks for listening. You.

    Transcribed by https://otter.ai

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  • Transactions: U.S. Bank embeds new SMB offerings

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    U.S. Bank is expanding its small business offerings with launches of two embedded solutions this month.  On Sept. 4, the $673 billion bank announced the following offerings for its 1.4 million small business (SMB) clients:  U.S. Bank bill pay for businesses; and  U.S. Bank payroll.   “With these two [launches], we are now essentially investing a […]

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  • Transactions: U.S. Bank embeds new SMB offerings

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    U.S. Bank is expanding its small business offerings with launches of two embedded solutions this month.  On Sept. 4, the $673 billion bank announced the following offerings for its 1.4 million small business (SMB) clients:  U.S. Bank bill pay for businesses; and  U.S. Bank payroll.   “With these two [launches], we are now essentially investing a […]

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  • 5 questions with … John Frerichs of JPMorgan Chase

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    Chase for Business is innovating to meet the evolving needs of its small- to medium-sized business clients, John Frerichs, head of global SMB payments at JPMorgan Chase, told Bank Automation News. 

    “One of the biggest changes in small business that we are continually adapting to is the need for a digital-centric ecosystem of payments products,” Frerichs said. “Customers want to onboard with Chase once, as seamlessly as possible, and then gain access to multiple payments products across mobile, web browser and physical hardware.” 

    John Frerichs

    To keep up with the digital demands of its clients, the bank rolled out its data-driven business decisioning tool, Customer Insights, to nearly 5 million small-business clients at the end of October. 

    In an interview with Bank Automation News, Frerichs discussed how he approaches demand for innovation through client feedback and what payments trends he is closely monitoring. What follows is an edited version of that conversation. 

    Bank Automation News: What digital payments trends do you have your eye on as you look ahead to 2025? 

    John Frerichs: As we head into 2025, the financial sector continues to embrace digitization, and digital payments have become a business staple. I’m keeping my eye on the following: 

    • Security. Biometric authorization is increasingly stepping up as a go-to solution for small-business owners to address security and fraud concerns. 
    • AI. Small-business owners are simultaneously curious and cautious about AI. Our Mid-Year Business Leaders Outlook survey at Chase found that 47% of small-business owners are a bit worried about AI, while 48% are ready to integrate AI into their operations within the next year. 
    • Omnichannel payments. More businesses are embracing omnichannel payments — whether it is offline, online or a mix of both. Our launch of Tap to Pay on mobile is a great example of a new payments use case taking off. 
    • Software. Small businesses are finding their payment providers through software they already use such as point of sale software, scheduling software and accounting tools. This helps make managing a small business more seamless. 

    BAN: When it comes to payments, what are Chase for Business small-business clients most concerned about? 

    JF: Each month, we closely track what small-business owners are thinking and the big economic factors impacting this. This year, their top concerns have been cash flow, staffing and revenue growth. That’s why Chase has introduced new services to make payments easier. We’ve got tools to help businesses create and send invoices electronically, speed up payments, and gain useful and actionable insights from their payment data. 

    Running a small business means juggling a lot, from managing operations, to paying  employees and tracking inventory. Understanding customer needs is crucial, but making sense of all that payment data can be overwhelming. Determining the where, when and how of collecting insights can be time-consuming and costly.  

    BAN: Chase for Business has launched several new digital solutions recently. Is there a standout product you helped bring to market? 

    JF: Within the past year we have rolled out a series of new product innovations — including Tap to Pay, a new Chase Card Reader, a set of new Chase Point of Sale terminals, a digital invoicing tool, faster payment capabilities and payroll partnership with Gusto. 

    Most recently, Chase for Business expanded access to its Customer Insights tool, now available at no additional cost to nearly 5 million business checking clients. This powerful platform offers simple, actionable insights to help business owners connect with their customers, run their business more efficiently and make smarter strategic decisions. 

    It provides them with data-backed intelligence to boost marketing, optimize staffing during peak hours and suggest expansion based on their customer location.  

    BAN: How does Chase for Business stay ahead of small-business owners’ changing needs and expectations? Where does innovation fit in? 

    JF: We are always thinking about and talking to our customers. For example, we regularly survey small-business owners and use their input to design business solutions that can address their greatest pain points. 

    We also spend significant amounts of time talking directly to our customers. Chase for Business hosts several events throughout the year that give us the opportunity to hear from hundreds, if not thousands, of small-business customers at once. I also invite small-business customers to our All Hands meetings. We talk to owners about the story of their businesses, what Chase does well as their banking partner and what we could be doing better. 

    All of this input, as well as our original design and product thinking, serves as the foundation for our innovation agenda. 

    BAN: As the needs of small-business owners change, how do you lead your team to adapt to changing needs? 

    JF: Change is a constant, both in the small-business operating environment as well as the internal environment at Chase for Business. We are always thinking of how we can adapt and evolve to serve our customers better. 

    Leading through change is not a perfect science, but I have a few principles that I consistently use to be as effective as possible. The first principle is to gather and acknowledge the facts in a changing environment — whether those facts paint an unsettling picture or not. Next, I try to create a limited set of priorities that the team can rally around. Simplifying focus increases the likelihood of delivery. Finally, I aim to provide the maximum amount of transparency into how the team is doing through quantifiable metrics. With clear yardsticks, we know where we are hitting the mark for our customers — and where we need to change course. 

    Register here for early-bird pricing for Bank Automation Summit U.S. 2025, taking place March 3-4 in Nashville, Tenn. View the full event agenda here.

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  • Chase launches Customer Insights tool for 5M SMB clients

    Chase launches Customer Insights tool for 5M SMB clients

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    JPMorgan Chase is providing its Customer Insights tool to nearly 5 million small business clients, offering data and analytics for business decisioning.   “Customer Insights anonymizes the information, aggregates millions of transactions and regularly provides small business owners with actionable insights that can be used to make smarter business decisions” and streamline operations, John Frerichs, […]

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  • 5 questions with … JPMorgan Chase Head of Product for Small Business Troutman

    5 questions with … JPMorgan Chase Head of Product for Small Business Troutman

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    As JPMorgan Chase leans into AI-driven products, Jameson Troutman, head of product for small business, is dedicated to innovating based on client need. 

    To determine where to invest, Troutman consults the bank’s monthly survey of 500 small business owners to track their needs amid evolving market conditions, Troutman told Bank Automation News. Some of the biggest pain points small business owners expressed this summer were: 

    • Supply chain disruptions; 

    “These needs guide our product innovation strategy,” he said during a recent interview with BAN.  

    Troutman discussed his approach to innovation, recent product launches he has worked on and how he leads his team with client need at the forefront. What follows is an edited version of that conversation. 

    Bank Automation News: How does your team approach the product pipeline? 

    Jameson Troutman: At Chase for Business, we rely on customer and employee feedback to address small business owners’ pain points and identify the most impactful initiatives that will help them grow their businesses. With a focus on robust, agile roadmap planning and prioritization, we gather feedback from internal stakeholders, speak with customers and prospects, and look at the data we are seeing on complaints, digital engagement/usage and call center reasons to make informed decisions on priorities.  

    Lastly, sometimes we need to prioritize items for risk or control reasons. We reevaluate our priorities regularly to ensure the market hasn’t shifted in a way that requires us to adjust. 

    BAN: What are recent products that have launched under your leadership: 

    JT: Faster payments: A recently launched online payment center that gives business owners the flexibility to choose different payment options to pay vendors and employees quickly.  

    Invoicing: A digital invoicing solution that gives small businesses an easier way to create invoices and bill their customers so they can get paid faster.  

    Customer Insights: A powerful business intelligence platform that provides simple, actionable insights to help business owners more effectively reach their customers, run more efficiently and make strategic decisions. With Customer Insights, Chase for Business customers will have complimentary access to aggregated, anonymized data about businesses like theirs, such as average customer profile, average ticket amount and busiest shopping times.  

    Payroll: A solution for our Chase Payment Solutions customers that allows them to automate and simplify the way they pay their employees, giving them time back in their day. 

    BAN: Where is innovation most necessary for small business clients today? 

    JT: Small businesses are currently navigating the higher costs of doing business — whether they pass them along to consumers, cut costs within their business, or reduce their business expenses. Innovation is key to helping small businesses tackle these challenges and keeping them thriving in the ever-changing economic landscape.  

    Cash-flow management remains a critical area of focus but small business owners are also learning how to adapt to new digital technologies, such as artificial intelligence, and figuring out what works for their business.

    From another recent survey we conducted, AI was described as the most popular technology to add in the next year. Our recent Business Leaders Outlook survey found that AI applications (48%), cryptocurrency (30%) and virtual reality/Metaverse (25%) are the top technologies small business owners plan to adopt. New technologies, especially AI, will be a game-changer for business owners — saving time, reducing costs and improving efficiency.  

    From what we’ve seen, technology and artificial intelligence is here, and it’s here to stay. We expect it will have a great impact on the services we provide as a bank. 

    BAN: How long does it take to get a product from idea to launch? 

    JT: Our innovation timeline can vary greatly based on a number of factors — from a few months to a few quarters — based on the complexity of the build and the impact it has on our business operations. We strive to be as quick as possible to market, but given we serve over 6 million small businesses, we also need to ensure that when we launch something, it is going to work well and do the job that our customers need it to do.  

    As part of this evaluation of speed to market, we will decide whether we need to test the feature with a smaller set of customers before we make it generally available to a majority of customers. For some smaller changes, we may be okay with launching it to everybody right away. For larger product launches, we follow a rigorous process that lets us test the product with a small set of customers first. Then, we slowly ramp up the roll-out to ensure our banker and operational teams are ready to properly support the launch. 

    BAN: How would you describe your leadership style? 

    JT: I am a people-oriented leader who mentors my teams to understand the “why” behind what we are doing. I enjoy coaching and helping individuals on my team succeed at their job and in their career. It’s in my DNA to really enjoy being in the details of the work, but I give my team the space and time to do proper discovery, understand the facts and define requirements. I trust them to deliver best-in-class products. 

    Register for the complimentary webinar presented by Bank Automation News: “The future of open banking: Payments meet data,” on Tuesday, Sept. 17, at 11 a.m. ET. Register for the webinar here.  

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  • U.S. Bank developing AI tools to meet SMB demands

    U.S. Bank developing AI tools to meet SMB demands

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    U.S. Bank is developing AI and automation-driven solutions to improve productivity for its small and medium-sized business clients.  Nearly 71% of U.S.-based SMBs think that digital solutions including AI and financial management tools can make their jobs easier, according to the U.S. Bank 2024 Small Business Perspective survey published on Aug. 26. U.S. Bank surveyed […]

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  • TD accepting applications for 2024 TD Ready Challenge | Bank Automation News

    TD accepting applications for 2024 TD Ready Challenge | Bank Automation News

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    TD Bank has been investing in innovation through patent filings, AI and generative AI efforts in recent months.  As the bank invests in technology internally, its innovation with third-party companies continues through its annual TD Ready Challenge, Paige Carlson-Heim, head of U.S. social impact, told Bank Automation News. The challenge grants 10 organizations $1 million […]

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  • Chase Customer Insights tool expanding for businesses | Bank Automation News

    Chase Customer Insights tool expanding for businesses | Bank Automation News

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    JPMorgan Chase will expand the accessibility of its data-driven business intelligence platform, Chase Customer Insights, to meet the demands of business clients.  “Customer Insights is currently available to Chase Payment Solutions clients and will become available to all Chase for Business clients later this year,” Deb Lawrence, managing director of community business strategies and government […]

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  • Banks are setting SMBs up for success with new tech | Bank Automation News

    Banks are setting SMBs up for success with new tech | Bank Automation News

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    Managing cash flow, tapping into data-driven insights and accessing capital: Small businesses are looking to their bank partners to provide digital solutions to streamline access to data, insights and cash.  This has been “the No. 1 issue that small businesses have faced,” Matt Baker, board adviser at Uplinq, told Bank Automation News. Uplinq is a […]

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  • Mastercard developing gen AI tool | Bank Automation News

    Mastercard developing gen AI tool | Bank Automation News

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    Payments behemoth Mastercard this year plans to launch a generative AI tool that will cater to businesses.  

    Entrepreneurs looking to start a business or organize operations will be able to ask the gen AI tool questions and it will provide solutions, Jane Prokop, executive vice president for small and medium-sized enterprises at Mastercard, tells Bank Automation News on this episode of the “The Buzz” podcast.

    Questions could include “I’m in this industry and what’s the best form of organization? Is it a partnership, is it an LLC or corporation or sole proprietorship for this type of business?” Prokop says. 

    The gen AI tool will be trained on Mastercard’s existing dataset along with information provided by media partners including Newsweek, Group Black and Royalty Media, Prokop says, adding that AI-driven solutions provider Create Labs will help build the tool. 

    Purchase, N.Y.-based Mastercard is also using AI to fight fraud, Prokop said. Mastercard has built AI solutions that help SMBs find vulnerabilities in their online operations along with using behavioral biometrics to fight fraudulent transactions and provide a frictionless payment experience. 

    Listen to Prokop discuss how Mastercard is creating solutions to help SMBs and how the company aims to use new technologies like AI to drive business growth.

    The following is a transcript generated by AI technology that has been lightly edited but still contains errors.

    Vaidik Trivedi 10:59:09
    Hello, and welcome to The Buzz, a bank automation news podcast. My name is Vaidik Trivedi and I’m the associate editor of bank automation News. Today is March 26 2024. And we will be talking to Jane Prokop. The Global Head of small and medium sized enterprises at MasterCard. Jane has been in the financial services industry for over two decades, working at multiple companies in a variety of roles, like as an investment officer at AIG, and as the chief executive of principles capital, a privately held speciality finance company that provided financing to small and medium sized businesses in US and Canada. Today, we will discuss what challenges small and medium sized businesses are facing how MasterCard is working to resolve those issues. Where does generative AI fit in the picture? And what’s in store for MasterCards SME division for 2024. Welcome, Jane, thank you so much for jumping on the podcast today. Can you give a little bit of introduction about yourself and what you do at MasterCard?Jane Prokop 11:00:16
    Absolutely. Hi, Vaidik, thank you for having me on the podcast. It’s very exciting. So briefly, my background, I’ve had over 20 years of experience primarily in the financial services sector, and in various areas of financial services. And about half that time, I’ve spent really deeply immersed in the small business financing space, where I ran a company that did unsecured high risk lending to small and medium sized businesses in the US and Canada. And what I discovered during that journey was just, you know, the magnitude and diversity of the challenges that are faced in the small business space, but also a great deal about the promise of growth that lies within that space. That’s very exciting for me, and I’m coming to MasterCard. My role here is to lead our global strategy for supporting the small and medium enterprise segments. So we drive innovation, we drive strategy and product development for that space globally. And of course, in doing so we we build on and leverage MasterCard strengths in card and non card that is multi rail payments, as well as a full set of assets across the data space, cyber, software and network assets. So our goal in the in the group is to develop high value, easy to use products that meet SMEs, key needs, across payments and a number of other areas.

    Vaidik Trivedi 11:01:49
    That sounds really exciting. Small businesses are the backbone of the US economy and a lot of economies. Can you tell me? What’s the state of small and medium sized businesses?

    Jane Prokop 11:02:04
    Absolutely. It’s been really an interesting experience over the past several years, I would say, if you back up a little bit, and go back five to 10 years, you’d see, you know, a huge proliferation of new technology and new tools, abilities to customize. And those tools and really an expansion, massive expansion and alternative data. And these are general tailwinds, I think that have driven innovation and improvement in the small business space, then you go two years forward and hit the pandemic. And there we saw that it was, you know, it really drove a lot of businesses to go online, and to enter the digital world if they had not already at that point, because it was a matter of survival for many companies. So the the issue was that, in the case of SMEs, many of them weren’t fully able to embrace these new new tools, for a number of reasons. You know, fear of fraud, transaction costs involved, lack of bandwidth, to evaluate some of the new tools. And so I think the result of the pandemic was mixed in that we saw a number of companies become stronger and, and really, greatly expand the way they did business. Others were unable to survive. So now we move into post pandemic time. And we’ve seen very recently that 2023 was a was a tough year for a lot of small businesses. And I would say that was that was driven by all the different threats we’ve seen right geopolitical threats, with the various conflicts that have sprung up in the past couple of years. macro economic factors. We saw inflation, we saw disruption of supply chains that created uncertainty for many of the small businesses. And although we did see a big recovery in sentiment, some of these factors still I mean, in the economy today,

    Vaidik Trivedi 11:04:09
    that makes sense pandemic was really a massive disruptive for almost every sector of the economy and our lives in general. Can you tell me what was the biggest pain points that SMBs felt in going digital? In the types of pandemic?

    Jane Prokop 11:04:30
    Yeah, absolutely. I would say that there are a few different things. One is that there has been a surge, as I mentioned earlier, in companies that are developing point solutions for SMEs over the past 10 years. So there are lots of different new software’s to handle accounting, or invoicing or marketing or website building, and so on and so forth. And, you know, that’s, we’ve tallied the count at being hired than 750 new companies that have emerged in the past few years. But in fact, that creates a management problem for SMEs. So first, they have to learn about the tools they have to get educated on, then they have to learn how to use them, and they have to teach their, you know, their, their staff to use them. And then they have to figure out how to pull together the data that’s been generated by these tools. And of course, the data that the tools need to consume as well into a holistic view. And that’s been a challenge for I would say, most SMEs right up through the lower middle market, because, you know, they have a fragmented landscape of tools today. So at the same time, they’re facing and many of them now have aspirations that go beyond their local markets. So they look to both source product internationally and to sell internationally. And the, the tools including payment methods, that enable that are often not fully developed. So they face a number of issues in in actually be able to sell and be able to source globally. So some of the needs that we see are really about simplifying that experience for SMEs. And that’s really critical to serve the sector sector is to bring together the critical tools that they need to manage their business operations into one place and make them relatively easily consumable. Then to provide the intelligence that results from those tools, to the owners and the executives of, of small and medium businesses, that gives them the intelligence to understand how to prioritize their activity, you know, they have limited, as I mentioned earlier, limited bandwidth to spend. So they need to spend it quite precisely, you know, and have a laser focus on what they need to do to move the needle for their business. So those are a couple of things that have kind of come out of this push toward rapid push toward digitization, in the past few years. That makes

    Vaidik Trivedi 11:07:15
    sense. Fragmented tools are really difficult to work with. Can you tell me what is MasterCard doing to help small and medium sized businesses?

    Jane Prokop 11:07:24
    Yeah, that’s a that’s a great question. A couple of things. One is that we’re introducing all sorts of means to drive the ability of small and medium businesses to accept payments, you know, because one of the first things they need to do when they’re going online is figure out how to collect payments. So we have tools such as our tap on phone functionality, which enables small business owner to use any smartphone that has near field communications, enabled and use that to accept payments, digital payments ran on the phone. And we’ve seen we’ve really grown that network enormously. we’ve more than doubled those locations since 2016. And so that’s been that’s been an important part of ensuring that the capability to accept payments online is extending out beyond areas that are you know, have very good sort of legacy broadband wiring, and so on that that under underlay the traditional POS terminals. We are also doing things like creating a program called click to pay online, which is a streamline guest checkout that spans across merchants so that solutions, consumers can use the solution to securely checkout instead of entering their data in every different website, every different portal separately. So it’s a very simple and secure checkout experience. And that is helped quite a bit. To make consumers more comfortable about buying from small businesses online. The other we’ve also done some work to simplify cross border payments for SMEs. So there are pain points around Cross Border Services. And I would say that the biggest ones there are that, you know, there, there’s fear of data security, when when SMEs are making or accepting online payments, across border, fear of fraud. There’s also a lack of transparency about the costs and the timing, when of when these payments are going to be made. So we have a solution called cross border Express, which we introduced last year, which enables any financial institution or FinTech, any player basically, to embed our functionality into their online presence, whereby the, their small business customer can click on a link, and then make a payment very securely to an international receiver. And they get full transparency about the fees at the time, they’re arranging the payment, and they they have full transparency of when the payments going to hit. Most of them are virtually instant. So it’s it’s very close to real time. And they know exactly how much money has been received on the other end. So this is this is really critical to helping them drive, you know, they’re they’re built, they’re sourcing and they’re selling internationally,

    Vaidik Trivedi 11:10:41
    having cross border solutions in a globalized economy is very essential. Have you seen at MasterCard that a lot of businesses, they don’t want to expand beyond a certain geography, because they there’s a lot of friction in accepting payments and going through regulatory compliance for a different geography.

    Jane Prokop 11:11:04
    We actually see, I think that a lot of the companies would like to be able to, to have scope of operations beyond their local economy. And, you know, 75%, our research are showing that 75% of them agree that sending online cross border payments has helped there has helped our business to grow post pandemic. So we do see, generally speaking, a, a a need and a desire to act on their local markets. You don’t see many businesses who are saying no, I want to stay local specifically. You mentioned

    Vaidik Trivedi 11:11:46
    that macro economy has been a bit harsh in the last year. And I wanted to know, how is MasterCard working with financial institutions or fintechs to expand capital access to these SMBs?

    Jane Prokop 11:12:04
    Yeah, that’s a great question. Lack of access to capital is probably the number one problem that SMEs face. So number one pain point globally, and the World Bank has estimated that there’s a gap of about 5.2 trillion between annually between the amount that the small and medium businesses would like to get any amount, they actually get some received none at all, and many others received less than they would like to receive. So really, I think the solution to unlocking that is to bring together some of the innovations that have happened in the FinTech space, with the financial institutions that serve as the conduit for the vast majority of funds that are flowing to you via lending in the world today. So when you think about syntax, and what they’ve done over the past, say 10 years to to revolutionize lending, what they’ve done is they have greatly simplified the front end experience. So they’ve made it digital. And they’ve made it very easy for a small business to apply. And that’s step one. Step two is they’ve been able to harness not only traditional but alternative data of all different kinds than having to do with transaction flows of the business, for example, or their their business banking transactions. There are a lot of sources of the alternative data, they brought those together to be able to create, I would say an algorithmic approach to lending which is instant. So rather than going through the traditional weeks or months long process that a small business would do with a bank, wherein they have a loan officer who receives an application, ask them for more documents, creates a model representing a forecast and so on. Looks at their audited financials. The fintechs have been able to say let’s let’s pull in all the different data gives us an idea of the risk involved. And let’s use scoring to give us the stratification of the risk of those applicants. And based on that scoring, then there can be an automated decisioning. And our automated formulation of an offer out to the applicant. So what that does is it vastly reduces the amount of expense involved in processing those applications. It increases the satisfaction of the small business who’s applying for the financing, and it ultimately creates a much better performing portfolio of loans for the lender. So that’s, that’s been the experience of fintechs. Where I think they run into headwinds is that cost of capital for fintechs can be who are involved in lending can be very high and very volatile. And the cost of customer acquisition is quite high. And so where the banks come in is, banks have to have, you know, access to very low cost, depository capital, and to intervene capital. So their cost of funds is low and stable. And they have, you know, a huge repository of customers for their other products to whom they can cross sell at a relatively low cost. So then they of course, have compliance, they have all the infrastructure for for security and compliance on the back end. So it’s really a perfect fit between the two, to bring the two together to offer that combined exceptional experience. And I think that as that progresses through the lending world, that is really what’s gonna unlock the flow of capital to a far wider range of small businesses, and in amounts that are quite appropriate, and that will enable, you know, obviously, better growth in these companies and also a more level playing field, which provides some, for some, you know, a better degree of inclusion in that lending scenario. So

    Vaidik Trivedi 11:16:12
    whenever we talk about payments and lending, fraud definitely comes to mind. And earlier, you mentioned that MasterCard is helping SMBs and safeguarding themselves from fraudulent activities. Can you tell us a bit more about that? How are you doing it? And what’s the success ratio that you have?

    Jane Prokop 11:16:36
    Absolutely, yes, cyber is really an important area for us at MasterCard, and we’ve been investing significantly over the last 10 years or and more into growing our, our set of assets. So to step back for a second and just quantify the the threat and what’s out there. Some of the big trends we see are continued rapid digitization of, of activity, and if we apply it to SMEs, we’ve already talked about them going online, and looking to the business in unfamiliar geographies. So that’s, that’s considered continuing to proceed a pace. We also see unprecedented levels of connectivity. And that’s both among SMEs and consumers. As smartphones proliferate around the world, and connectivity becomes more accessible, virtually everybody is connected into online activity. And then we see an exponential growth in data. And so these three things together have really turned cybercrime into an industry. So if you if you were to quantify it, you’d see that it’s cybercrime would be the world’s third largest economy, behind the US and China. There’s, that’s our biggest calm. And within that landscape, we see that 43% of cyber attacks target small businesses. At the same time, small businesses are less equipped and big ones, to be able to protect themselves against fraud and financial loss and cyber attacks. So very often, their IT services are are outsourced to third parties, and the owners and managers of the business actually don’t really know the nuts and bolts of how it works. So we have developed a multi pronged strategy at MasterCard with addressing the cyber threat. First of all, we have assessment tools by which we monitor 90 million entities globally. And that happens on a cycle that repeats every 10 days. We have protection tools that that help stop an attack once one has been detected. And that’s been powered a great deal by our AI technology. And then we also organize we work and we collaborate with industry players and governments to set standards and to influence policy that will help to spread these Innovations in these protections more broadly. So we think of this as these three things assess, protect, and organize as three layers of a portfolio of solutions that are designed to work together and to, and to provide protection at every stage of a transaction. For small businesses, specifically, there are a few of our products that are very relevant. One, one, I would say that I’d like to highlight is our tool called My cyber risk. And this is an automated tool that monitors the cyber environment of a business’s online presence, to identify vulnerabilities that they have before a cyber attacker can come and exploit them. So it gives them back, it kind of crawls, looks at the environment, and then comes back with a report to the owner to say, here are the vulnerabilities we’ve seen, here are ways that you can address those vulnerabilities. And, you know, that’s really critical to small business owners, because as I mentioned earlier, most of the time, they aren’t intimately familiar with how their IT environment has been set up, and it’s being operated. So they won’t be able to answer on a questionnaire based type of approach, they’re not going to be able to answer most of the questions. This takes away that barrier and does it for them. And we’re starting to pair that with some of the other protection tools. We’ve got some new tools that we plan to roll out later in the year, which are specifically designed for small businesses, to help them take the next step once they’ve assessed the vulnerabilities to address those vulnerabilities. So that’s a little bit about the way that we’re approaching this to keep businesses safe.

    Vaidik Trivedi 11:20:58
    So talking of automation, you’re already deploying automation in finding vulnerabilities within an SMBs digital ecosystem. Can you tell me what are some other use cases that MasterCard has in place, and they’re exploding with automation and AI? Sure.

    Jane Prokop 11:21:18
    We have another product solution called a new detect, which uses machine learning and behavioral biometrics, and, and basically rests on billions of data points, to validate users in real time without disrupting the digital experience. So it means that customers get a secure and frictionless experience. At the same time, it’s able to understand whether there’s anything potentially fraudulent going on and to provide a warning of that going

    Vaidik Trivedi 11:21:52
    into 2024. Can you tell me what you’re seeing in the market? What’s on your Horizon? What’s something in the pipeline that has gotten you excited?

    Jane Prokop 11:22:02
    Well, I, I suspect I sound like many others when they answer this question. But AI driven technologies are definitely forefront. For us, you know, and the newest step change in terms of Gen AI, has been also something that’s fueling a lot of innovation at MasterCard, we’ve been using AI for four years, we’ve used it to protect against fraud, you know, to monitor transactions, and so on. And so, you know, that that’s been sort of a bedrock for us. But we are looking at what we can do with the newest, the newest advantages. And in doing that we’re, we’re spending, we’re turning that toward both our internal operations, and our customer facing operations. So one of the biggest applications of AI is to actually make it faster to develop new products, and we’re definitely moving in that direction. But in terms of customer facing ones, we’re in the stage of testing and learning a lot of those right now. And we see a bunch of I’ll talk about an example in a moment, but we we see lots of potential advantages for payment solutions of AI. Optimizing, optimizing payment performance, and security is really important because AI is better than, you know, human ever could be at detecting anomalies and data flows, errors, fraud, and then monitoring, managing the resulting payment risks from that. It can we can use it to leverage data, insight, data and insights. And that’s super important because not only are we using machine learning to to get better insights out of structured data, but we can use Gen Gen AI to get better insights out of unstructured data. So it allows us to bring the two together in a way that no one really could previously and And then a third big area is adapting to changing customer needs and preferences. So the the potential for customization and personalization of our services of our payment solutions and our other services is practically limitless. Because you know, AI can continue to learn from every interaction that it has with a customer, and then further tailor the content, suggestions to their specific situation. So one of the things that I wanted to mention about AI when this is super important for for MasterCard, we’re really approaching in a way that we want to ensure that it is ethical, and it’s transparent. And it’s also reliable. So we’re being careful in the way that we deploy anything that’s customer facing. But we’re starting to, as I mentioned, do test and learn in this area. And so one of the things that we have underway right now, which we plan to roll out at the end of this year is a small business AI tool that we’re doing together with a large media coalition. And the intent of that tool is to be able to use relatively unbiased data sources, to provide suggestions, general suggestions about that for questions that small business owners may have, again, relying on data that’s likely to be less biased than we normally see in the public Internet. So entrepreneurs, you know, who are looking to start a business, or they’re looking to figure out how to organize it better they can, they can ask questions about, you know, I’m in this industry, and what’s the best form of organization is that a partnership is LLC, a corporation, etc. Or a sole proprietorship for this type of business. And they can ask that it’s intended for general purpose using these sorts of sources. And that’s gonna be our first sort of version of the tool. We plan and we’re developing in parallel AI tools that can be deployed on proprietary datasets. So whether it’s our internal datasets, whether it’s our datasets combined with partner datasets, these are, you know, can be directed toward much more specific use cases. So what we see coming out of it ultimately is a suite of different AI tools that are suited to a range of use cases for small and medium businesses.

    Vaidik Trivedi 11:26:51
    Really excited. So it sounds like a chat GPT specifically catered towards entrepreneurs and businessmen.

    Jane Prokop 11:27:00
    Yes, and there are there are multiple AI tools actually Gennai tool. So we’re using we’re experimenting with not just the chat GPT but with others as well.

    Vaidik Trivedi 11:27:10
    Are you creating this tool in house? Or are you working with a vendor or a third party to create this tool?

    Jane Prokop 11:27:16
    The tool that I mentioned, that’s going to be out later this year, we’re working with in partnership with a company called Create Labs, which is going to be doing the build together with us. And as I mentioned, we have a media coalition that’s providing the data sources including black team, media group group, black, Newsweek, and some others. So we do see this as they kind of range of solutions, some of which we will produce in partnership with other either channel partners or tech partners of ours. And some which of which we will produce in house, you know, using and relying on a MasterCard data sets.

    Vaidik Trivedi 11:28:03
    Okay. Well, thank you so much for joining us on our podcast this week. And I hope we get to have a chat. So

    Jane Prokop 11:28:12
    thanks so much for it. It’s been a pleasure to be with you. And I hope to meet again soon.

    Vaidik Trivedi 11:28:18
    You have been listening to the buzz, a bank automation news podcast, please follow us on LinkedIn. And as a reminder, you can read this podcast on a platform of choice. Thank you for your time. And be sure to visit us at Bank automation news.com For more automation news,

    Transcribed by https://otter.ai

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  • Global Startup Podcast: Toronto | Bank Automation News

    Global Startup Podcast: Toronto | Bank Automation News

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    When considering credit underwriting for small- and medium-sized businesses, satellite heat mapping and detailed traffic patterns may not be the first data points that come to mind. 

    Yet these are precisely the sources of information Toronto-based startup Uplinq draws on to help extend credit to SMBs not served by traditional scoring models, co-founder Ron Benegbi tells Bank Automation News during today’s edition of the Global Startup Cities Podcast from “The Buzz.”   

    Uplinq, founded in 2021, allows [lenders] to evaluate the entire ecosystem of the business itself, and look at all that information in context,” Benegbi said, explaining that the company uses environmental, community and market information data in conjunction with a borrower’s credit score and financials. 

    The Canadian fintech has already partnered with some of the world’s largest financial institutions, including JPMorgan Chase and Citigroup, according to its website, and is active in Latin America and Africa and planning an expansion in Asia soon, Benegbi said. 

    Listen as Benegbi discusses how his experience as an immigrant in Toronto inspired his business, what alternative data can do for SMBs and the collaborative ethos shared by Canadian founders. 

    The following is a transcript generated by AI technology that has been lightly edited but still contains errors.

    Victor Swezey 0:02
    Hello, and welcome to a special edition of the buzz, a bank automation news podcast. Today is August 2 2023. My name is Victor Swezey. And I’m the editorial intern at Bank Automation News. Today is the last episode of our global startup cities series, where we have taken you to some of the most innovative tech hubs around the world to give you a look at these startup cultures and the markets they serve. Along the way, we’ve talked to FinTech founders, from the cities about the products they’re bringing to market. On this final episode, we’re bringing you back to Toronto to get a look inside Canada’s startup capital just over the border. We’ll be talking about the immigrant experience in Toronto, the collaborative ethos shared by Canadian founders, and some of the resources that have grown in the city to support them. Joining me today is the co founder of uplinq a startup using AI and alternative datasets to help financial institutions lend to small and medium sized businesses. Please welcome Ron Benegbi.Ron Benegbi 1:12
    Yeah, sure, a so first of all, Victor, thanks so much for having me excited to be here. Like you said, I’m founder and CEO of uplinq in a sentence, we are a credit decisioning support technology for small business lenders. So in English, what that means is we provide institutions that lend money to small business, a lot of data and a lot of insight to help support their evaluation process and their credit adjudication process. And ultimately, though, the decision is still stays with the, with the lender, but we we support them. So a little bit about me. I’m Cyril founder, fifth startup, by the way, I’ve been told it’s my last startup, so very excited about that. But really, more importantly, as I’m an immigrant, and my family migrated to Canada in the early 70s, we were poor. We had no money. My dad was baking bread at night, to put food on the table for our family. And he went to a bank in 1973. And I know I’m dating myself a little bit, because I look exceptionally young. I was around in 73. And he asked the banker for a small business loan. And the banker told them Look, Mr. Bernanke, you really don’t qualify for how the bank lends to small business. However, I believe in people. And here’s $5,000. And my dad was able to take $5,000.19 73 start a small business, which turned into a medium sized business over time. And that really became the springboard the backbone for our family’s lives and in a new country. And I, I share that because that that really correlates directly to your question. I’ve grown up in a small business family, my successes, and my failures have come as a small business owner. So it uplink, our mission is to work with lenders and through the use of data to the use of science. And some pretty sophisticated techniques, provide them the information they need to help them extend additional working capital into the hands of small business. So in other words, say yes, when they were initially going to say no. So it is a very personal and meaningful story for me, Victor, I mean, small businesses always been underserved in financial services, no one would argue that, but if you look at the impact that COVID had on small business owners all over the world. And now if you look at the impact that, you know, the economy’s having, and we’re in this sort of uncertain times, whether some days we’re in a recession, other days, we’re not access to fair and ethical credit, has never been more difficult for a small business owner to obtain. So if we can just help turn a few nose into yeses, we would really be serving our purposes.Victor Swezey 4:19
    Let’s dive in maybe on a on a technical level, a little more into how uplinks credit decisioning process actually works, we’d love to hear more about what kind of alternative data sources you use, maybe some of your most unique types of categories of data that you pull from, and you know, any use cases and ways that AI and machine learning might be involved in your credit decisioning process. I think our listeners would be really interested in that as well.Ron Benegbi 4:43
    In terms of alternative data. Here’s how I would I would I would talk about this, you know for years and going back to when my dad was applying for a loan lenders would evaluate a small business the same way. Give me your For financial records, let me pull some type of credit score on you. And then from that I’ll make a credit decision. Well, that’s a very antiquated way of thinking about credit, especially in today’s day and age where the profile or the DNA of the small business owner has changed significantly over the last few years. So, you know, a lot of new small businesses have cropped up, a lot of these small businesses are sort of, you know, sort of in the gig economy, so to speak, they don’t have established financials or credit reports, and ultimately, they’re gonna, they’re set up for failure. So when we talk about alternative data, what we present to a lender is, we allow them to evaluate the entire ecosystem of the business itself. And look at all that information in context, meaning environmental data, community data, market information, data, all of these different types of data sources, in combination with traditional financials and credit scores. I’m not, you know, I’m not trying to downgrade or poopoo credit scores. But if you look at them in concert with all of these other macro and micro economic types of data sources, then you as a lender have a much better perspective on the true health of the business. So, you know, you ask the question, well, like so what are you talking about? Well, it can be things like cell phone data, it can be traffic information, it could be information from governmental sources, like, you know, the US Bureau of Labor, or the Census Bureau or Department of Housing or Department of Commerce and an on and on and on. I mean, in some cases, we actually use data that we acquire from a NASA feed of looking at satellite imageries sure, because there are all kinds of small business operators out there, it’s not just tech. So it’s, what we do is we tap into all of these sources, but we don’t just dump it on a lender, because at the end of the day lender won’t know what to do with it. We crystallize it for them, we leverage the years of experience and insights that we’ve garnered from the programs our customers have utilized over that time. And ultimately, we make a recommendation and we provide it the recommendation in a very, very detailed manner as to why we think this is a good or a bad loan. And ultimately, though that decision does stay stay with the lender. So that’s a little bit about what we’re doing and how we do it. I hope I answered your few questions. But if I missed one, just fired over? No,

    Victor Swezey 8:05
    absolutely. I really appreciate that. And, you know, you really piqued my interest with some with the traffic data and the NASA Data. Can you tell me a little bit more specific use case for how that might be relevant in?

    Ron Benegbi 8:19
    Yeah, I mean, if you if you Well, if you look at traffic data, so let’s say you’re a restaurant. Well, that’s really, really important. If we can get information about traffic flow and patterns in your specific neighborhood. That’s a really important piece of information to determine what, you know, potential future performance could look like beyond just again, traditional financials and Bureau scores. If you look at like things like I use satellite imagery, people love that. So I’ll give you a use case. So let’s say you’re a manufacturer, and you’re applying for a loan with a bank. And you’re telling the bank, listen, we run seven days a week, we’re running night shifts, because this is where we’re manufacturing this widget, whatever the widget is, well, if we have access to satellite imagery, that can then capture sort of heat patterns and heat signals over your location. And we noticed that on the weekend, it’s like there’s nothing there. But during the week, at during these hours, we’re getting different types of readings. Well, we know that they’re fibbing or they’re stretching the truth a little bit. So those are the kinds of things that the system can look at and intelligently and this is where, you know, leveraging different AI techniques helps us develop models that ultimately attenuate directly to the lender, but also specifically to the applicant itself. And that’s something that is a true point of differentiation for us against others.

    Victor Swezey 9:58
    And tell me about Some of the banks that you that you partner with who are some of the lenders that you use your data to advise,

    Ron Benegbi 10:06
    right now where we are with our business is we are in heavy proof of concept mode, with a number of banks all over the world. And we typically take that approach first, because it’s a pretty big deal when you’re going to a lender, and even though we’re not making the decision for them, you’re talking about potentially transforming their loan book, in which case, you’ve got risk, you’ve got compliance, you’ve got it security, you’ve got the business itself, all have to kind of look at this. So you know, the, the proof of concept or POC approach, like try before you buy, has resonated very well. So right now we’re working with two of the large to the top five banks in Canada, we’re working with to top 20 small business lenders in the US, we’re working with one in Mexico, we’re working with a couple in Africa, and I’m hoping to be able to share that, you know, by as early as you know, next month, we can add Hong Kong and India to that list as well. So, you know, it’s it’s, it’s a global approach in terms of we can help anyone who’s lending the small business, and anyone who wants to make some type of meaningful impact on their loan book,

    Victor Swezey 11:30
    in the spirit of comparing Canada and the US. Maybe if we could zoom out a little bit and compare the startup cultures in Toronto to to, you know, some of the other startup hubs around the world, maybe take Silicon Valley in the US and London? What makes Toronto unique?

    Ron Benegbi 11:49
    Yeah, well, you know, it’s hard for me to answer that just because I’m, I don’t know what the startup culture in Silicon Valley is like, or it isn’t Israel, or it is in London, but, you know, as far as Toronto goes, you know, I can I can talk to that it’s, it’s certainly what I feel, is a tight knit community where anyone kind of in this community is open to helping one another, there’s sort of a pay it forward mentality here that I’d like to think exists within Toronto. Yeah, I mean, the community itself has grown substantially over the years, especially in FinTech and especially with the organizations that support technology here, in Toronto. So I would tell you that, you know, you can, if you want to, you could probably attend some sort of tech event, whether virtually or in person, just about every night of the week, here in Toronto, there’s always something going on, and being a pretty large Metropolis onto its own, you’ve got some, you’ve got some great entrepreneurs in here. And, and, and a big reason for that is because, you know, Toronto has always been known as fairly diverse, and multicultural, and you have a lot of different ethnicities and immigrants like myself, and my family, who have come at one point from a different country. And you know, many of them have decided to, you know, go into the startup world. So it’s great, because we get to meet different different people from different cultures, different perspectives, and they certainly bring that added element to the entrepreneurial world. And I can tell you, it’s exciting. Like I’ve, I’ve made a lot of friends just being in the community. Not necessarily by working with these companies, but just like I said, bumping into them in advance, whether it be in person, or you know, you’re at as sort of a zoom seminar and you see them in you know, people start talking and then you, you reach out. So overall, I would tell you that look, it’s a it’s a great place to be. It’s a big city, but it feels like it in many ways it feels like a small town and that that’s how I would describe Toronto in my in my from my view.

    Victor Swezey 14:20
    Can you tell us a little bit about maybe how Toronto became the startup hub that it is now?

    Ron Benegbi 14:26
    Yeah, I mean, I would tell you that I think Toronto really started to take shape as a tech hub in the kind of early to mid 2000s. I will tell you that. A big a big jumping stone is an organization called Mars. And no, it’s not the planet and it’s not the chocolate bar company. Mars is an innovation ecosystem. I like to think of it as almost as a platform to which it It has four different tracks, like different types of startups, like clean tech, digital health, enterprise software, and fintech. And it supports these ventures through different programs that originally were government funded both federally and provincially. But over time, as you know, government funded funding naturally declined or has gotten more difficult to obtain corporate sponsorship really stepped in. So I think Mars has played a critical role in the in the ecosystem, and has grown has helped grow and develop that ecosystem over time. There are other organizations that have also played a big role. The one, the one that really resonates with me is an organization called Tech to start by an individual named Alex Norman, probably sort of Mr. Tech Canada, if I would describe Alex but it started off as a kind of a small community gathering, trying to help a few startups and all of a sudden tech to has grown into Montreal, you know, Montreal tech, and Vancouver tech. And really, it’s a, it’s a community for all startups in Canada, it’s a it’s a Canadian community, and they host a bunch of different events, both in person and online. Newsletters go out a couple times a week, you know, a lot of a lot of a lot of information has garnered from them. And then accordingly, you know, there’s a lot of, there’s some really good media focus specifically in Toronto, probably the most prominent one is organization called beta kit, which everyone kind of defers to as the sort of the go to go to source for information on all things tech in Canada. And then there are a few technology writers as well that are very well known. So, you know, over time, it has really, really grown. And as more venture capital dollars, started to enter the ecosystem, both from Canadian firms as well as US firms. And I can tell you, there are a lot of US firms who invest in Canadian companies and Toronto based companies. And I’m proud to say that most of our investors that are actually American, really helped the community grow and flourish and become what I believe is a top 20 tech community globally, as ranked by different startup reports out there. So I hope that answers your questions. I’m sure there are a lot of other great communities out there as well.

    Victor Swezey 17:56
    Definitely, definitely. And that’s really exciting to see. And, you know, looking forward, I guess, with with, with all that momentum, what are some fintechs that you think we should be watching coming out of Toronto?

    Ron Benegbi 18:08
    Yeah, I mean, there’s a lot of I think there’s just a lot of great companies, there’s, there’s one that you know, pops into my head, called lat Li, they’re, they’re sort of a hybrid FinTech kind of Prop tech. But they’re doing some really exciting things with respect to real estate, and trying to help you, you as a potential homeowner, get access to your first home. And I think that is a really, really big problem. It’s certainly a huge problem in Toronto. And I can tell you, as a father of like, she’s not a millennial, she’s a Gen Zed. It’s just really, really hard to like, buy your first home. And, and I’m pretty sure that other markets here in Canada, they’re experiencing the same thing. So they’re doing some really exciting and creative things around how they use financing to help these individuals get access to real estate that they can own. There’s also a really interesting company, sort of in the FinTech InsurTech space called walnut, which is doing some really cool things around embedded insurance and insurance again, is another problematic area where you know, rates are kind of like rates and access to fair and market market value policies are, are tough to get especially for startups and especially for fintechs. So, you know, so that companies wall not so those are the two that kind of dropped off by head but certainly there’s there’s quite a few and, you know, we’re all kind of trying to take it one day at a time. I’m in grind it out. So, you know, hopefully many, many will succeed.

    Victor Swezey 20:08
    You’ve been listening to the bones, a bank automation news podcast. Please follow us on LinkedIn and Twitter. And as a reminder, you can rate this podcast on your platform of choice. Thank you for your time. And be sure to visit us at Bank automation news.com For more automation news,

    Transcribed by https://otter.ai

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  • Global Startup Cities Podcast: Paris | Bank Automation News

    Global Startup Cities Podcast: Paris | Bank Automation News

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    Keeping up with expenses can be difficult for small- and medium-sized businesses, which may not always have cash on hand or ready access to capital. 

    Paris-based fintech Defacto is seeking to solve this by offering cash advances to SMBs through embedded lending, co-founder Jordane Giuly tells Bank Automation News during today’s edition of the Global Startup Cities Podcast from “The Buzz.”  

    “We believe that there’s a huge opportunity to distribute credit and distribute financing differently,” Giuly said. SMB customers can access financial services through fintech platforms they use on a daily basis. 

    For example, Defacto, founded in 2021, has partnered with major European fintechs and financial institutions including neobank Qonto, French bank Banque Populaire and accounting platform Libeo, which provide products to SMBs. 

    Listen as Giuly discusses the benefits of open banking in Europe, the rise of startup culture in Paris and how French President Emmanuel Macron has made entrepreneurship “cool.” 

    The following is a transcript generated by AI technology that has been lightly edited but still contains errors.

    Victor Swezey 0:01
    Hello and welcome to a special edition of the buzz, a bank automation news podcast. Today is August 1 2023. My name is Victor Swezey, and I’m the editorial intern at Bank automation News. Today is the fourth episode of our global startup cities series, where we take you to some of the most innovative tech hubs around the world to give you a look at these startup cultures and the markets they serve. Along the way, we’ll be talking to FinTech founders from these cities about the products they’re bringing to market. This episode, we’re stopping for an aperitif in Paris, to see how the City of Lights became one of Europe’s prime entrepreneurship destinations. We’ll be talking about open banking, securing VC funding in the current economy, and how President Emmanuel Macron made startups cool in France. Joining me today is the founder of defacto. A startup using open API’s to offer embedded lending to small and medium sized businesses. Please welcome Jordane Giuly.Jordane Giuly 1:00
    First of all, thank you very much for having me today. So my name is Jolene, Judy. I’m co founder and CEO a de facto. As you can tell, I’m French, I’m a Paris based French engineer. I’ve been working in startups for the past 10 years. And prior to defaqto, I was co founder and head of product at spendesk, which is a span management solution for SMBs based in Paris. So I’ve been I’ve been evolving in this, FinTech that startups, Paris seen for the past eight years now. Maybe about a word about de facto. So we launched defecto, a bit more than two years ago, with my two co founders, and we are now 18 people in the team. Basically, the problem that we’re solving is the following. So SMEs in Europe are kind of stuck in the middle between their large customers who are going to pay them in 3060 90 day terms. And the large suppliers who are asked to be to be paid very quickly. And this creates huge working capital issues for these SMEs in Europe. And we are basically, basically want to solve this. So we are offering short term financing to SMEs via our embedded lending, I would say, approach. So so first of all, what why are we doing an embedded lending to start with. So we believe that there’s a huge opportunity to distribute credit and distribute financing differently. And we are huge believer of these of the embedded finance trend, where you as as an SMB as as a customer, you can access financial services, financial products, not on your bank, I would say web interface, but from products that you’re using on the on a daily basis. And in that context, we are offering lending through different types of platforms, different types of SMEs platforms, for example, we’re working with b2b marketplaces, neobanks accounting software, financial software for SMEs and SMEs can access those financing solutions directly from their preferred solutions.Victor Swezey 3:19
    And who are some of these fintechs that you partner with? Maybe say a little bit about how you embed de facto into these platforms from a technical side, and then what benefit it can provide to customers, existing customers for these fintechs?

    Jordane Giuly 3:34
    Yeah, so so so for the end SMBs, the the end cost customers as well as worldwide to the borders, basically, the value proposition, it’s instant eligibility results. So instead of having to go to your bank, upload your your past financial statements, which are documents that that can be like one or two years old, and wait for a few weeks. For manual reviews from your bank, with defaqto embedded in your favorite solution, you can have basically lending in seconds. And so this instant response for SME, it’s a huge differentiation because they can pilot their business and their treasury on a real time basis for the platforms that we are working with. For example, we’re working with malt with the leading freelance marketplace in Europe, they put in relationship freelancers on the sell side, and cooperates on the buy side. So we’re working with them. We are working with contoh with the biggest b2b neobank In continental Europe. We’re also working with Penny Lane, and nibio. Were accounting software and compatible software for SMEs. So what are these guys, those platforms? It’s basically differentiation they can offer have a wider set of features to their end customers, its retention and its monetization. Because they can, either they usually put these, I would say lending solutions in premium plans. So for them, it’s, it’s an upsell opportunity.

    Victor Swezey 5:22
    I see. And how has this notion of embedding lending into these existing FinTech platforms grown out of the open banking movement in Europe?

    Jordane Giuly 5:32
    Yeah, so just a word of context before. So in Europe, you have these payment service directive to which which is commonly called Open banking. That is live since 2019, I guess, in basically asked banks to expose the financial data of their customers via API. And you and following this, you have like, I would say, a huge industry, huge number of players that that got built. On top of those, you have like payment aggregation players or payment initiation players, who are basically offering to the ecosystem, access to bank data via API and also payment initiation via API. So that’s one thing on the on the one hand, and so second, so how we leverage that this de facto. So credit is not new, right? There’s always been a need for credit, there will always be need for credit. But I would say the two assumptions that we’re making is that we can innovate in terms of distribution. And in terms of scoring, so on the distribution side, we are leveraging, we are making the bet of embedded lending. Because these drives with, say, user experience to the next level. And on the underwriting side, thanks to open banking, there are huge levels of automations in terms of the data that you can access to the data that you can process to build your scoring and run your your models.

    Victor Swezey 7:15
    So you know, given the existence of this open banking ecosystem, and in Europe, and you know, this, this growing startup scene in France, maybe we can zoom out a bit. And can you tell me a little bit about the startup ecosystem in France, maybe compared to the rest of Europe? And then maybe also compared to the US and maybe draw some contrast there?

    Jordane Giuly 7:36
    Yeah, sure. So obviously, very proud of what’s going on in France nowadays. If we put this out, if we put aside all the riots and stuff, due to some I would say, you know, necessarily political reforms. I think it’s been it’s been a few years since France, in Paris, is the second hub in terms of startup investments in Europe, London, London being the first and I think Balinese one is winning against the Berlin has been winning against London for the for the past few years. So the startup scene in in Paris is pretty young, right? When I launched my first startup 10 years ago, it was like a very small ecosystem, very few French VC firms, very few investments, no accelerators, or like incubators program. And now you have like, the biggest names in terms of VC like, I don’t know, Sequoia XL index a16z, just to name a few. We’re investing more and more in Paris. They don’t have Paris offices, yet. They still kind of based in London and operating from there. But still, it’s promising. In Paris, now you have the biggest incubator of startups in Europe. It’s called stache wife. And I think it’s the it’s, it’s, it’s a place where you can have like more than 1000 startups. So so so the there’s a real ecosystem that is also maturing, you have more and more I would say, Li cons in in France. And you have I would say, more and more of a second or third time founders will manage to exit their first company. reinvest a bit as angel investor on the one hand, and launched new startups on the on the other end. So it’s both a growing ecosystem and the maturing ecosystem, which is very exciting. Yeah, and

    Victor Swezey 9:46
    I think, you know, from from a government perspective, President Emmanuel Macron has been involved in trying to to add some fuel to that fire in terms of France’s startup, eat Also some and that’s kind of been one of his campaign promises and something that he’s made as a as a policy goal. Can you say a little bit more about some of his policies and maybe the ways that the government has helped create and grow France, as you know, what he calls a startup nation?

    Jordane Giuly 10:17
    Yeah, so so. So first of all, President Macomb kind of what I say, made startups, you know, be cool, right. And so he evangelized I would say, working in startups, you know, taking risk, entrepreneurship, all these kind of values. That before him was not that was not, I would say, the preferred carrier path for friendship engineers, or business guys, etc, the preferred career paths, were more doing bank or consulting, etc. And now, I would say, being an entrepreneur, and aiming for success, ending for monetary success as well is, is more broadly accepted in France, on the one hand, and second, I think prison, Miko contributed to build, to increase confidence in terms of form investors in France. And that’s that that’s really a big part of it, right? You need to build long term confidence from investors to attract investments, to develop projects, and to kind of have this the whole ecosystem maturing. And lastly, there are more and more firms from either like the French public bank, that’s called BP and also more and more investment firms, French investment firms that are dedicating, I would say, first add funds and investments to startups and to innovation. So all of that is contributing to going the ecosystem.

    Victor Swezey 12:13
    So what’s the what’s the environment like in Paris now for entrepreneurs? And you know, maybe what is that? What does that have to do with you know, Paris’s rich cultural history legacy? How does that history plan with the current startup environment?

    Jordane Giuly 12:29
    Yeah, so. So I’ve been, I’ve been based in Paris for the past 10 years, but my, my co founders, I’ve both had some pretty extensive international experiences. So they can definitely compare Paris today, compared to Paris like 10, five years ago, and a few things we see more and more, I would say, French guys will have been to working in the US in the past few years, or in London, etc, coming back to friends, actually, and kind of importing or their knowledge or their experiences in the, in the Silicon Valley or in New York or in other startup hubs, and contribute to bringing back knowledge, expertise experience, to Paris, that that’s one thing. Another thing that I can say is that compared to other places, the cost of hiring engineers, it’s is much cheaper in Paris compared to the US. And so you can see companies that have their I would say, r&d hub in Paris, although they are there, they have their their sales and marketing, you know, functions in the US to basically sell on the on the in the US market.

    Victor Swezey 13:50
    So, you know, looking forward into the future, what are some fintechs coming out of Paris that you think our listeners should be watching? What are some fintechs that you think are pretty exciting coming out of Paris right now?

    Jordane Giuly 14:03
    We are so super, at defaqto. We really like the fintechs that allow us to bring automation to a next level. And in that context, we are working with two, I would say banking providers, which are Swan, and Mimmo bank. So swan is a banking as a service provider, and mobile bank is actually a bank, they have this credit institution license, but they build their I would say bank banking offering with an API first approach. And I think I think it’s great. And the last one that will actually mention is one of our earliest partners spinny line. We are basically you know, building I would say QuickBooks, in France and they are kind of innovating in this accounting space.

    Victor Swezey 14:56
    Thank you for that. Um, and you just raised a one interesting See 7 million euro securitization, in partnership with Citi and viola credit. So tell me about what you’re planning to do with with that new race.

    Jordane Giuly 15:10
    It’s a so it’s. So basically, we’re super happy to be partnering with Citigroup, which is one of the largest banks in the world. And we’re also working again with Viola credit, which has been our partner since since day one. And most basically, the the announce was 167 million, you’re up to 167 million your debt facility that will allow, basically de facto to originate as much loans to our end customers and refinance those loans with the two partners that we mentioned. So it’s basically for us the opportunity to lend up to 1 billion euro per year to the European SME ecosystem that we that we like a lot and work on this on refinancing those loans with the two great partners that

    Victor Swezey 16:08
    you’ve been listening to the bugs, a bank automation news podcast, please follow us on LinkedIn and Twitter. And as a reminder, you can rate this podcast on your platform of choice. Thank you for your time, and be sure to visit us at Bank automation news.com For more automation news,

    Transcribed by https://otter.ai

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  • Seattle Bank enhances digital loan offerings for SMBs | Bank Automation News

    Seattle Bank enhances digital loan offerings for SMBs | Bank Automation News

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    Seattle Bank has teamed up with two fintechs to beef up its digital loan offerings within point-of-sale consumer loans and small- to medium-size business loans. The $781 million, Seattle-based bank partnered with software-as-a-service (SaaS) provider Judi.ai to break into SMB lending and address challenges in the space, Josh Williams,  executive vice president, chief banking officer […]

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  • The key to relationship building: Coupling embedded payments with data | Bank Automation News

    The key to relationship building: Coupling embedded payments with data | Bank Automation News

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    The fintech arms race over the past several years has created a new series of winners and losers in the ever-increasing fintech industry. Namely, third-party providers have been remarkably successful at providing payment services and financial solutions for organizations that need them.

    In fact, Cornerstone Advisors reported that small to medium-sized businesses (SMBs) annually spend about $225 billion on payments and accounting services from third-party providers. This has created a paradigm shift in the world of open finance and financial technology, with large banks and fintechs on one end and community financial institutions on the other. However, community financial institutions can utilize the same technology to appeal to their SMB customers if they begin to understand the value of enabling financial management workflows and embedded payment functionality available to better serve their customers and increase revenue.

    CEO Bankifi Americas
    Keith Riddle, CEO, BankiFi Americas

    A promising payments opportunity

    Embedded payment workflows are a promising opportunity for banks to meet their SMB customers’ needs. By leveraging automated technology that instantly tracks customer invoices and bank data, banks can amass a large amount of valuable information from their SMB customers. Everything from accounts receivable and payable data to information related to financial institutions’ operating accounts, and data related to the specific SMB are all useful for banks to monitor.

    Banks can optimize this data to extend personalized offers and business services consultation to the SMB, as well as non-FICO related underwriting criteria to craft unique lending solutions.

    With the unique perspective of recurring invoice and payment data, financial institutions can establish a competitive advantage over non-bank providers and anticipate future liquidity needs or appropriate financial products to help the SMB thrive.

    Payments data can go a lot further than just helping banks. According to Mastercard, 86% of SMBs wish they could make better use of their data, and there is no secret as to why. The data financial institutions possess for the SMBs can be employed to provide great benefits and create a path to deepening crucial business relationships.

    Building relationships and wealth

    Financial institutions are being placed in a pivotal position to help SMBs interpret valuable business insights. Not only does the data provide opportunities for growth among multiple entities, it also strengthens the relationship between an SMB and its primary financial institution, as well as the relationship between an SMB and its customers.

    SMBs have an innate desire to build their businesses and watch them thrive. In order for consistent growth to occur, SMBs need to establish strong banking relationships. The Mastercard study also notes that 85% of SMBs claim they need a consolidated place to check in on their financial health. Financial institutions have often established a trusted advisor role with their business clients, and can provide an enhanced level of support and engagement that nonbank, third-party counterparts cannot.

    Right now, financial institutions have a unique opportunity to better serve their SMB client base, strengthen their relationships, and increase their own revenue by coupling their data with the powerful information associated with invoice and payment activity. Utilizing automated technology to track preexisting customer data, financial institutions can provide the utmost support for small businesses, further streamlining their processes.

    By providing this technology from a unified platform and digital experience, a financial institution increases customer loyalty and eliminates the need for SMBs to toggle between multiple mobile applications to thoroughly manage their business finances.

    As the data from embedded payment workflows is optimized, the possibilities presented by a positive feedback loop between SMBs and their financial institutions are endless.

    As CEO for BankiFi AmericasKeith Riddle brings a breadth of financial services experience spanning new product development, partnership management, direct sales, and strategic market planning.  Keith is responsible for BankiFi’s embedded banking solution strategy and distribution within North America. 

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    Keith Riddle

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  • Listen: How a neobank keeps SMBs afloat | Bank Automation News

    Listen: How a neobank keeps SMBs afloat | Bank Automation News

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    Small- and medium-sized businesses (SMBs) must navigate several challenges during their first years in business.  Understanding the needs of SMBs is critical, as more than 50% of small businesses fold within the first five years, according to the Bureau of Labor Statistics.  Banks that create strategies to help support SMBs can become an integral part […]

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    Brian Stone

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