1072. News: All about partnerships: Barclays x CommonAI, Monzo x Fair4All Finance, Stripe x Lloyds

15 Jun 2026 · 59 min · 12 chapters

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In short

FinTech Insider News episode 1072 focuses on fintech partnerships and how they drive inclusion and safer adoption of AI and payments in the UK.

Guests

Mei Lim (group CFO/managing partner at VC Anthemis; invests 15 years, ~150 portfolio companies; co-founded Common AI; thesis includes “high assurance AI”); Deanna Camille Salmon (Associate Director, Commercial Propositions at Fair for All Finance, a 2019 not-for-profit focused on financial inclusion in England; partners to fund innovation); Marusha Naidoo (Global Head of Partnerships at Paymentology; oversees strategic partner initiatives; Paymentology is a next-gen issuer processor).

Key claims

AI adoption is shifting from experimentation to deployment, but regulated use requires “high assurance” (accuracy, explainability, auditability) to prevent hallucinations and bias. Consumer credit inclusion can be enabled via risk-sharing guarantees and secured credit-building products. Banks increasingly modernize by partnering with fintech infrastructure providers.

Notable examples

Barclays investing in Common AI and joining its high-assurance AI program; Monzo piloting FlexBuild with Fair for All Finance (up to £250 limit, deposit-based, partial guarantee up to £7m); Stripe and Lloyds launching “Lloyds Accept” for SMEs (Stripe infrastructure via Lloyds accounts, fast onboarding). Bonus: Aviva detecting £230m bogus claims using AI-enabled fraud.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Guest Introductions

0:46 to 2:20

Introduction of guests Mei Lim, Deanna Camille Salmon, and Marusha Naidoo.

“to build the next generation of financial services.”

Barclays Invests in Common AI

2:21 to 4:36

Discussion on Barclays' investment in Common AI and its potential impact.

“But next up on the panel, we also have Deanna Camille Salmon, Associate Director at Fair for All Finance.”

Challenges in AI Adoption

4:37 to 9:02

Exploration of trust issues and biases in AI within financial services.

“So our first story today is that Barclays has backed UK AI innovation with investment in Common AI.”

AI Implementation Trends

9:03 to 14:00

Insights into the shift from AI experimentation to practical deployment in fintech.

“But I really love like, you know, common AI is living up to its name, you know, building sort of everything with lots of different inputs so that it's as accessible as possible for everyone kind of involved.”

Exploring AI's Role in Fraud Prevention

14:00 to 18:45

Learn how AI is redefining fraud detection and operational efficiency in finance.

“The other use case that we're really seeing is around fraud, fraud prevention, trying to really tackle these kind of bad AI agents who are now surfacing.”

Monzo and Fair for All Finance Partnership

18:45 to 28:00

Discover how Monzo's new credit initiative aims to support those with poor credit.

“investment from Barclays and look forward to seeing what you guys do next and come back and tell us about it when you do.”

Exploring Financial Inclusion Initiatives

28:00 to 31:40

Learn about the importance of partnerships in promoting financial inclusion through new lending initiatives.

“It should be around, you know, helping them access opportunities for today and tomorrow.”

Partnerships in Payment Solutions

32:16 to 42:00

Discussion on the partnership between Stripe and Lloyds, and its impact on small businesses.

“The service enables merchants to accept payments in person, online and via payment links with onboarding completed in minutes.”

The Importance of Inclusion and Access in Financial Services

42:00 to 44:14

Learn about the connection between financial inclusion, SME support, and government initiatives.

“And that trend is probably one of the most exciting we're seeing in financial services.”

AI in Fraud Detection: A Double-Edged Sword

44:22 to 46:26

Explore how AI is being used by both fraudsters and insurers in the financial sector.

“and that is that Aviva detects record 230 million pounds in bogus insurance claims as use of AI rises.”
Show all 12 chapters

Accidental Billionaire: The Case of Ahmed Yangharad Tekalo

46:26 to 48:36

Discover the bizarre story of a man who found himself with almost a trillion lira in his account.

“us into our and finally section where we have an accidental billionaire story.”

Exploring the Implications of Bank Errors

48:36 to 53:10

Discuss the potential consequences of banking errors and the importance of technology in preventing them.

“And, you know, obviously there is an issue that kind of connects all of our stories around, you know, what happens when your bank balance isn't correct and you don't know why.”
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Transcript

Automatic transcript. May contain errors.

0:04Laura Watkins:This is FinTech Insider News. This week, Barclays backs UK AI innovation with investment in common AI. Monzo partners Fair for All Finance on cards for Brits with poor credit scores. And Stripe & Lloyd's debut payment suite for UK small businesses. We'll be tackling all of this and more on today's news show, so don't go anywhere.

0:39Laura Watkins:Hello and welcome to episode 1072 of FinTech Insider News brought to you by 11FS, the six-time consultancy of the year that works with financial providers big and small to build the next generation of financial services. I'm Laura Watkins, Director of Media and Marketing here at 11FS. and to help me unpack the biggest and most interesting stories from fintech and financial services from the past week I'm joined by a brilliant panel of guests. First up we have a welcome back to the show for Mei Lim, group CFO and managing partner of Anthemis. It's great to you again Mei. Can you remind the listeners a little bit about yourself and Anthemis?

1:15Thanks Laura, really great to be back here again. Thanks for having me back and so Mei, a management partner at Anthemis. For those who don't know us, Anthemis is a VC investor. We've been investing for 15 years. We have about 150 portfolio companies in the US, UK, Europe predominantly. The thesis is around Invisible Finance and more recently now high assurance AI. We have a lot of investments as well in diverse founders. We're a big supporter of DE &I and we are based both here in London as well as New York. We recently co-founded a platform called Common AI, which we launched in September last year and I had the privilege of coming to 11FS to talk about that.

2:12I'm so excited to be here today to talk more about the developments we've had in Common AI.

2:17Laura Watkins:Absolutely. Well, thank you so much for joining us. And yeah, we will be getting right into that very, very shortly. But next up on the panel, we also have Deanna Camille Salmon, Associate Director at Fair for All Finance. Welcome to the podcast. Please, can you tell us a little bit about yourself and Fair for All Finance? Hi, Laura. Thank you. It's great to be on the show. It's my debut. I'm so excited for that. I am the Associate Director of Commercial Propositions at Fairful Finance and Fairful Finance are a not-for-profit organization that was set up in 2019. So our remit and our goal is to focus on financial inclusion in England.

2:55There are over 20 million people in financially vulnerable circumstances who need support and access to products and services to improve their financial lives. So the work that we do is around funding and developing pieces of research to identify the gaps and the consumer needs. We also innovate and partner with organizations who deliver products and services directly to people so we kind of fund innovation in the sector like the partnership with Monzo, which we'll be hearing a little bit more about later.

3:26Laura Watkins:Fantastic. Well, thank you so much for joining us. That is a scarily high statistic there. So, you know, thanks for being here and for all the work that you do. And we will dig into that very, very shortly. But last but not least, concluding our panel, we have Marusha Naidoo, Global Head of Partnerships at Paymentology. Welcome back. For those unaware, please, can you remind our listeners a little bit about yourself and Paymentology and your role there? Yes, thanks for having me, Laura. I must say it's always a privilege to be a part of the 11FS podcast. Marusha Naidoo, Global Head of Partnerships.

3:56I look after all of the strategic initiatives with all of our partners across schemes, capability partners, as well as resellers and distribution partners. When you look at paymentology, we've been in the news quite a lot recently with our recent investment, the launch of our new platform. But ultimately, paymentology is a global next-gen issuer processor. We believe that infrastructure is the way to unlock new digital technologies across all financial services. And we sit at the heart of that. So it's really brilliant to be here and excited to unpack some of these exciting stories.

4:33Laura Watkins:Absolutely. And on that note, let's jump right into the first one. So our first story today is that Barclays has backed UK AI innovation with investment in Common AI. The story in Finextra, Barclays has invested in Common AI, a collaborative engineering and computing platform launched by Anthemis and Cambridge AI Venture Partners to support the growth of AI-enabled businesses across the UK and Europe. The platform brings together startups, enterprises, engineers and academics, providing access to AI models, training data, hardware design and computing power that might otherwise be out of reach for many organisations.

5:10Laura Watkins:Alongside the investment, Common AI is launching a new high-assurance AI programme focused on developing AI systems capable of operating safely and autonomously in highly regulated sectors such as financial services. Barclays will join the program as a member using the platform to explore strategic AI use cases and industry-wide challenges. Well, obviously, it makes sense for me to come to you first, May. Thank you so much for joining us. Huge congratulations on this investment. Can you just tell us a little bit about the sort of problems that Common AI is trying to solve here and the sort of benefits of having a shared platform?

5:46Yeah, thanks so much, Laura. And again, super excited to come back here to talk about our next milestone. We're really grateful and excited to welcome Barclays as an investor, as well as a member of our High Assurance program. So a little bit about Common AI and what it's trying to address. At the heart of it, we're really trying to address some big problems with solutions that are very inclusive. And so we're trying to really solve AI and move it from pure experimentation into something that can be trusted and applied in real world settings and safely deployed. And to do that, you know, it's really hard to solve these large problems in isolation.

6:37And using a collaborative platform like Common AI, we are able to bring together, you know, a really diverse set of participants, whether that's AI startups or large corporates or even the government, and bring all of these relevant participants who are all relevant in solving these problems, but doing it in the most efficient way. And the way that we think about doing it efficiently is, you know, let's not build a lot of these solutions in isolation. Where things can be built in common, let's do that in common, because resources are finite and we need to prioritize them properly. And so where there are things which are common, let's build them in common and let's build them together in the best way possible, sharing resources, which allows us to focus on the stuff that's more important.

7:32And some of the examples of things that we're trying to solve for, we have two programs now on the platform. The first one was scaling inference that I came in February to talk about. And inference, what we mean by that is, you know, the world of AI has moved on from just pure training of the models. Now, every time you hit a question into ChatGPT or Gemini, that's where the model is really thinking and applying its knowledge into answering the question. And there, again, you know, compute energy. That's really finite. We need to figure out how we answer and apply the knowledge in the most efficient way possible.

8:14And that's scaling inference. And then now we move into high assurance, which is if we're doing things efficiently, let's do that with accuracy, explainability, and especially using those methods in a regulated framework. And that's where, you know, institutions like Barclays, but also other regulated institutions are really excited about adopting this because for them, one of the major prohibitions or obstacles to adopting AI at scale is this fear that actually the model is going to hallucinate or I can't explain how the model came about with the answer. And that's really important for the regulator, but also regulated industries.

9:01Laura Watkins:Fantastic. I mean, it's such an enormous undertaking what you're doing. But I really love like, you know, common AI is living up to its name, you know, building sort of everything with lots of different inputs so that it's as accessible as possible for everyone kind of involved. and maybe Deanna coming to you on that kind of consumer perspective how important is that trust issue that May mentioned there in terms of embedding AI into financial services is something that gets called into question a little bit in terms of how much the AI is trusted and also how much people trust the AI itself and what's your take?

9:38I think that's a really really good question probably the one that is even more on our minds at Fairful Finance is around the way that the models have been trained and the kind of existing biases that we already have in our society and ensuring that those don't continue to live on in the models and the way that we automate systems and things like decision making around who gets access to certain products and who doesn't. So I think that that trust element is also kind of an interesting point but from a consumer standpoint we hope that there are lots of ways that usage of UI can improve people's financial lives and I think there's lots of ongoing work that's happening on that but some of the risks and challenges are how do you ensure that some of that kind of algorithmic bias doesn't continue how do we ensure that some of those kind of data privacy points you know that people's data is protected that if they're trusting an AI agent with certain tasks or asking questions that are really specific to their financial situation that that continues to be you know they're able to keep that data safe and just thinking around the different points of you know how can people make sure that they are trusting the data as kind of may mentioned i think there is a bit of a worry about is what i'm getting back correct does it need to be validated by someone else is it possible that that's a hallucination which obviously doesn't happen as frequently but those are the concerns

10:59Laura Watkins:that people will be having at this point in time may would you like to kind of come back on any of that as it relates to common ai yeah i mean i totally agree diana you know trust is is super important within AI. Trust is, you know, one of the key tenants, right, of the financial services system. Without trust, you don't get credit, right? And so for us, you know, coming back to your point around making sure that the results of an underwriting decision is auditable is really important and applying, giving transparency to the black box is really important so that you can actually test whether or not there has been an inherent unfair bias that's resulted in a decision that has unfairly affected a consumer.

11:50And that's where the regulator is really concerned about. And, you know, some of our conversations that we've had with some counterparts at the banks, they are acutely aware of the hallucinations that potentially come out of the models. You know, So for them, anecdotally, they said, you know, we're one hallucination away from getting fired. So this is how important banks are taking it. And actually, you can actually see where the head of AI used to report into the CTO. And now we're seeing their reporting lines changing and they're reporting into the coup function. And so you see this visible shift where actually AI is treated not just as tech, but actually something that actually is going to be deployed within the BAU operating context and is taken very, very seriously.

12:42Laura Watkins:That's really interesting. And I kind of, Marisha, I want to bring you into this conversation, particularly with your role in partnerships and working with banks and fintechs who are sort of looking at their AI strategy, may sort of touch on some people's sort of hesitancy around this area. What are you kind of seeing in this space? You know, what kind of areas are people experimenting in and what's sort of holding them back, if anything? Great question. And I must say, you know, just looking at what May just said around, you know, AI moving from a technical function into more operational, that's exactly where we're seeing it move into.

13:20When we look at our customers and it's predominantly, you know, very ambitious fintechs and large scale digital banks or T2 and T3 banks who are trying to evolve to meet the customer's digital needs, we're seeing customers shift from experimentation into deployment. You know, about a year or 18 months ago, banks were saying, you know, what do I do in this space? Is AI really great to transform my business? To now we're seeing it actually come to fruition. We're seeing a lot of banks actually use AI to create operational efficiencies across the business, whether it's around customer supporting tools.

13:57So creating more AI chatbots to kind of resolve tickets, you know, first time, first interaction with the customer. The other use case that we're really seeing is around fraud, fraud prevention, trying to really tackle these kind of bad AI agents who are now surfacing. And so we're seeing a real move into, you know, execution of AI, but in a very intentional way. You know, if we look at the way that our banks and our customers are using AI, they're being very intentional around how they are using it for risk monitoring, fast decision making so that they are able to reduce fraud. They're able to identify fraud patterns earlier and just improve things like dispute management functions.

14:46So it's definitely something that we're seeing become, it's no longer talked about. People are actually doing it. It is creating operational efficiencies across specific segments within banks and fintechs. And what we can say is it really is creating a better customer experience because what AI is able to do, obviously, is crunch the data really quickly to give customers faster responses that actually answer their questions and help resolve many of these pain points for customers that customers typically had with customer service tools that were used in the past.

15:24Laura Watkins:May I want to give you the sort of final word on this? Like, do you, does that kind of match what you're seeing? Where do you think we're kind of going to have the biggest breakthroughs with AI in the immediate future? And what do you think is the biggest misconception of AI in financial services? And how do we kind of myth bust that? Yeah, so I think, I mean, myth busting, there is definitely a preconception that AI is going to take jobs and vast swathes of, you know, the population are going to be cut out of this technology shift. But actually, AI, when used safely and deployed appropriately, can actually augment our productivity.

16:11And in part, you know, platforms like Common AI is designed to make this as inclusive as possible and allow adoption through, you know, fractional services like the Common AI platform to allow people to upskill quicker, to participate in the ecosystem in a more inclusive way. and to start things and adopt AI tools a lot quicker. So coming back to what Marussia said, yeah, we're definitely seeing AI being used a lot within the financial services context around operational efficiency, fraud detection on the revenue line, you know, making decisions quicker as well. But also in the back office as well, this is where I think AI is going to be adopted more at scale, which is AI is being used to write code and automate the sort of upgrading of code.

17:08But I think where things like high assurance tools come in is to ensure that actually those codes that are being written are being written properly and accurately and safely. And sometimes actually, you know, people think about AI as being things go a lot quicker, you know, But actually, AI can also be used to put a little bit of, you know, the right amount of friction in the system to stop things like fraud from happening, to stop inappropriate data getting leaked out. And also, you know, AI can also be used, weirdly enough, to check other AI models as well. And so, you know, to sort of benchmark whether the first AI model is producing the right results, or to actually mathematically calculate whether an answer is correct or not.

18:01But I think at the heart of all of this, you know, what I always say with everyone is, I think, especially for the newer generation who rely a lot on AI, chat GPT, you know, things like that to get fast answers, fast food, you know, sort of bleeding into that. critical thinking is going to be absolutely paramount to make sure that people can actually assess themselves whether something makes sense or not and put their own sort of bit of friction into the process.

18:32Laura Watkins:Yeah, that's such a good point. And I enjoy the fast food analogy for sure. But I think, yeah, we could definitely pick your brains about this all day, but unfortunately we have other stories to cover. So I'm going to move us on, but a huge congratulations again on the investment from Barclays and look forward to seeing what you guys do next and come back and tell us about it when you do. Thank you. Then I'm going to take us to our next story, as promised, which is that Monzo partners Fair for All Finance on a card for Brits with poor credit score. So Monzo has partnered with Fair for All Finance to pilot a new version of its FlexBuild product aimed at helping people with low or limited credit histories access affordable credit and build stronger financial track records.

19:13Laura Watkins:The product allows customers to unlock a small credit limit of up to£250 through an upfront deposit. Customers pay no interest if they repay in full each month and regular repayments can help them access higher limits and eventually reclaim their deposit. Monzo will freeze spending if repayments are missed where Fairfural Finance is providing a partial lending guarantee of up to£7 million to support the program and share risk. Before we jump into the discussion we spoke to Luke Enoch, General Manager of borrowing at Monzo, who sent us a soundbite to share his thoughts about the partnership. Let's hear from him now.

19:51Hello, this is Luke, General Manager for Borrowing at Monzo. This week, we announced an exciting new partnership with Fairfool Finance to widen access to affordable credit in the UK. Right now, more than 16 million adults face barriers to borrowing. And when people are turned away from mainstream credit, they're often left with options that don't really help them move forward. That's the problem we're trying to tackle with FlexBuild. It's a credit card for people with low or limited credit scores that can help them build a repayment history and progress towards mainstream credit over time. Together with Fair For All Finance, we're piloting a secured version where customers pay a one-time interest-earning deposit to unlock a small, affordable credit limit.

20:39Importantly, the product is designed to give customers clarity and control. with transparent costs, in-app education and extra safety nets, plus our delightful touches of design throughout that encourage on-time repayments and celebrate progress. For us, this is about making money work for everyone, and we're really proud to be working with Fair For All Finance to build a more inclusive credit system in the UK.

21:08Laura Watkins:Deanna, I want to come to you first. Obviously, this is a fantastic partnership. We've obviously heard some of the details from Monzo's side just there from Luke. But I'd love to kind of dig into it from your side, particularly that stat that you mentioned at the very, very top of the show, around 20 million people in the UK living in financially vulnerable circumstances. Can you just unpack that a little bit more and kind of the barriers that they face while trying to access credit and how this will massively help them? Yeah, absolutely. I mean, just to echo Luke, we're really, really delighted about the partnership with Monzo.

21:41we think it has the potential to reach thousands of people that would have been previously excluded and the reason why this partnership is so important and what we're doing is so important is because of the scale of the issue so I've referenced 20 million people in financially vulnerable circumstances and around 16 million of those struggle to access mainstream credit so that group of that 16 million people is made up of people who either have an impaired credit file which means that something might have happened to them in their life that has impacted their credit score and that can really be anything from you forgot to pay a phone bill and you moved house and they chased you to your old address and then you found out that you've got a CCJ a court counted judgment against you which now has impacted your file for the next seven years or it could be that you were having a bit of a mental health crisis or something going in in your personal life which meant that you were late on payments for something like a credit card so there is you know probably a billion different reasons that I could come up with where that could happen to somebody but what it does mean is that if your credit file is impaired it makes it really difficult for you to access credit from mainstream providers and then there are people who are new to credit so again that could be anyone from a young person in work or not in work an apprentice, a student.

23:04Frequently, it's also people who are new to the country. And that actually impacts lots of different types of people, not only people who are new to the country, who potentially are kind of working as skilled laborers, but it could also impact people who are experienced hires, professionals. You know, I've recently spoken to somebody who moved to the UK from the US. They were working in a really impressive bank, investment bank, and they were struggling to get access to credit because they hadn't developed a credit score in the UK. So it's an issue that touches all different types of people and it's too large to be able to be fixed by any one institution or organization.

23:42So although Fairfield Finance have a long history and track record of investing into community finance organizations like credit unions and CDFIs, and for listeners that aren't familiar with those organizations, because many people aren't, they are purpose-led organizations who focus frequently on trying to support people either linked with a kind of common bond or a same profession and that's what kind of credit unions are focusing on and cdfis focus on supporting people in financially vulnerable circumstances unfortunately those sectors although they're growing they're too small to be able to reach that entire 16 million group so a new part of our strategy at fair for finance has been to partner with kind of mainstream and digital banks to enable them to serve people who've previously been excluded.

24:30Now, we've spoken a little bit about some of the challenges of that, like traditional underwriting models can be quite set. And a lot of the way that people look at risk and risk-based pricing means that they think that this customer group of people is just too difficult to serve. And it requires quite a lot of kind of systematic changes organizationally, culturally, but also from a systems standpoint. so what's really exciting about this work with Monzo is that they've said that they'd be willing to try to kind of serve more customers than they've been able to previously and we've come in and said you know what we think there are some myths about this group of people being really difficult to serve and that they won't pay back we think they will pay back and we're willing to provide a partial guarantee so in essence what that looks like is Fairfield Finance and Monzo are kind of sharing some of that risk to be able to enable them to innovate and to serve this customer group.

25:28Laura Watkins:Fantastic. Well, it's such an amazing initiative and thanks for sort of unpacking that for us. And obviously, you know, if you're looking to partner with mainstream and digital banks, you've sort of hit the jackpot by teaming up with Monzo for sure. So yeah, I'm really excited to see how much this can really, really impact people. Marusha, kind of coming to you, you were just really nodding as Deanna was talking there. What's your kind of take on this and what sort of stands out to you about this partnership? So firstly, as an avid Monzo customer, just this is such a great initiative. And this hits home for me personally in so many different ways.

26:02I moved to the UK and being, you know, a skilled worker in a professional setting was not, I didn't have any credit facilities available to me. So when I look at initiatives like this, it's so important, Deanna. And when you talk about, you know, all of the different customer segments who fill out the 16 million. I mean, you get people from every different walks of life, but also vulnerable individuals as well as true professionals. So I think you're really hitting the right notes around, you know, this is a particularly underserved group of people. There is definitely a need. And what I really love about this partnership is you're kind of putting your money where your mouth is to say, Monzo will stand with you and will be a true partner in making this product work.

26:50So for us, you know, especially from a partnership lens, that's the perfect kind of partnership because it's mutually beneficial. You've identified the pain points. You created a purpose-driven product that actually meets the needs of customers on the ground. And when we look at, you know, successful ecosystems and successful product plays, those are kind of all the keynotes. It's all about, you know, is there a purpose? Is there the right platform and the right model? Do you have the right partnerships? And then, you know, what is the outcome or the success metrics? And I think that, you know, when we look at this, it's really driving inclusion in a way that we would love to see all over the world, right?

27:38Financial inclusion from paymentology's perspective is extremely close to our hearts. You know, we work with banks and fintechs and a wide range of customer segments. And the most successful approaches we see is when, you know, providers design products around those customer journeys rather than just individual products. You know, the goal really shouldn't just be around getting somebody access to credit. It should be around, you know, helping them access opportunities for today and tomorrow. So, you know, just really excited about this product. It's groundbreaking from my perspective. Thanks, Marisha.

28:12Some very kind words. Thank you. I think you need to bring Marisha on board to be your marketing person. Your cheerleader. Love it. Anytime. Love it.

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28:24Laura Watkins:Deanna, maybe we can talk about that in terms of the sort of stepping stone piece that Marisha was talking about there. Like this isn't just sort of helping people in a pinch. It's also supposed to, you know, take them on a stepping stone into getting mainstream credit. But sort of how important is that to the kind of overall objective and sort of what does that look like from your perspective? Yeah, absolutely. I think Marisha touched on it a little bit. I think what's really exciting for us about this pilot is it's that longer term impact, not just for the consumer, but also for the industry.

28:56so the way that we kind of hope this changes over time is for customers accessing this product they build that trap record with the lender and they are then able to progress to other and often cheaper products and then over time they've got this established track record and they're borrowing and exactly same products that are available to to us on the call although i'm making some assumptions about people's credit score and the way that they can access credit but you understand what i mean they're kind of a mainstream product and what was really exciting for us with with the kind of partnership and the way that it developed with Monzo was kind of a very clear pathway to their mainstream product that's available to people with or often in the industry called prime credit scores but also this notion that you actually have to save to be able to borrow and there's a really interesting behavioral link there around people kind of saving alongside borrowing there's lots of really interesting research around this including something that an organization called Nest Insights published recently around the kind of psychological impact that has on people's ability to kind of save alongside borrowing or save to borrow.

30:05There's lots of different models and we think that that element of it is really exciting because as Marisha said it's I think credit ultimately I think people that want access to credit should be able to access credit and they should be able to do it in the way that suits them but ultimately the ideal is is for people to have savings for people to be able to save and if they've got an emergency something that comes up that they've got savings that they can rely on reality is one in five people in the UK don't have a thousand pounds in savings so if something like your car breaks down or you've got another emergency boiler breakdown it's really difficult for some people to be able to find that money to be able to to make that happen so we're really excited about this piece of work and probably what I should mention as well is that it's been a really interesting example of us partnering with Monzo but also having a great level of support from the National Strategy for Financial Inclusion that was published just last year by our government and they actually named this initiative the Small Sum Lending Pilot as one of their key strategic priorities in the way that you can improve financial inclusion and so as a result of that we'd launched this fund with up to 25 million available for banks to bid for, to kind of support innovation and reaching people who were previously excluded.

31:25I suppose it's fantastic to have Monzo as the first lending partner on that pilot.

31:29Laura Watkins:Absolutely. Well, huge congratulations again. And yeah, really, really excited to see how this one rolls out and continues to positively impact people's lives. But on that note, we're just going to take a quick pause back shortly.

31:47Laura Watkins:Before we get back to the news, we wanted to tell you about an event we're hosting this month. We're teaming up with Paymentology for a special open mic night all about the next era of payments. It's happening on Wednesday the 24th of June at the Joiner on Worship Street in London from 6pm with free food, drinks and plenty of fintech folks in the room. If you fancy joining the conversation and maybe even grabbing the mic, head to the link in the show notes and save your spot. But before you do that, carry on listening to the show. Our final main story this week is that Stripe and Lloyds have debuted payment suite for UK small businesses.

32:23Laura Watkins:The story in payments, Stripe and Lloyds Bank have partnered to launch Lloyds Accept, a new payments offering that gives small businesses access to Stripe's payments infrastructure directly through their Lloyds business account. The service enables merchants to accept payments in person, online and via payment links with onboarding completed in minutes. The article highlights a growing trend in financial services where banks increasingly partner with fintech to deliver modern capabilities to customers, combining distribution and trust with technology and product innovation. Well, given that we have a partnerships expert on the show, and Marisha, I'm going to come to you first, this kind of feels like a really good example of a bank and a fintech playing to their respective strengths.

33:06Laura Watkins:Firstly, what did you think of this partnership? And is this a trend? Are we going to continue to see a lot more partnerships like this one coming through? So firstly, absolutely. So when we look at the evolution of financial services right now how banks are rethinking, creating, you know, services for whether it's consumers or SMEs, they've all understood one thing. You can't build everything yourself, right? And so what I think banks have finally realized is that they need to actually focus on the customer experience and outsource, you know, very specific tech to fintechs who do it really, really well, who can build, you know, at pace, and they can also evolve with the growing needs of customers.

33:52So I think that's the first thing that we're seeing. That trend has been ongoing, but now I think the banks are finally accepting it. When we look at this story in particular, so a couple of, you know, call outs from us. So the first one is SMEs is and has always been an underserved segment. That's the reality, especially when you look at not just SMEs, but micro SMEs, influencers, all of these make up the same space. But what is not changing is what customers expect from these SMEs, right? Customers expect the exact same level of service, the exact same level of access, while at the same time also expecting the same level of trust and security.

34:38So I think this is a perfect partnership again, because it's wrapping around all of these services into one. And when we look at Stripe, particularly, they are growing more and more into an ecosystem orchestration platform or infrastructure provider to enable all of these key features for the different customer demographics. So yeah, for us, this is a very positive move.

35:01Laura Watkins:Fantastic. And May, maybe coming to you on that sort of, you know, the point that Marisha made about institutions realizing that they can't build everything themselves. They've got a partner, they've got a share. That sort of sounds like a very similar ethos to what you were telling us about common AI. What was your take on this one? And where do you see this heading? So yes, this is about collaboration. As Marusha said, everyone needs to play to their strengths. So why not partner up with somebody who together you both can augment each other's capability. but equally I think at the heart of it you know it's around giving their customers the SMEs the ability to give their own customers the same experience that larger corporates are able to do and that way by doing so I'm able to attract and retain new customers and it's you know a way of democratizing access to services, you know, from the small independents, you know, who are increasingly getting crowded out, you know, by the big brand names.

36:14So this is really, really exciting news. And I think something that is exciting for the UK economy, you know, the UK high street and the small SMEs, they need as much help as they can to do this in a super slick way by partnering up with Stripe is very encouraging to see the UK economy do you know things like this.

36:38Laura Watkins:What's your kind of take May on the the kind of claim that through this sort of thing small businesses can access the same infrastructure as an Amazon or an open AI like what does that mean in practice is that kind of true democratization if the you know the smaller brands, the high street shops, etc. can access the same level of support and technology as these huge organizations. Yeah, I mean, the devil's in the detail. The actual, you know, payment infrastructure seems super slick, and that's the beauty of it. But actually behind it, there are lots of interconnecting pieces, which can be quite clunky, can create a lot of friction, can have actually quite a, you know, some absolute costs rather than just margin costs.

37:26And so, you know, again, the devil's in the detail as to whether when this is rolled out to the small SMEs, it remains affordable. And if there are issues, if it's clunky, whether they're able to access the same level of customer support that, you know, the larger corporates are able to access.

37:45Laura Watkins:Yeah. And that sort of customer support bit is probably going to be the most important, particularly, you know, when, as is often discussed, you know, cash flow is the lifeblood of estimators. You need answers, you need them quickly, particularly if there's, you know, any kind of holdup in the system that affects your cash flow. Exactly, exactly. Deanna, what was your take on this one? Obviously, this is a sort of example of a traditional bank sort of having to rush to modernize through partnerships. Is that a sort of customer-led driving force, do we think, in terms of customers changing their expectations in terms of, as sort of Marisha and May have alluded to, of what they actually expect from these small businesses.

38:28Yeah, I think that was a point that was really well made by both Marisha and May about expectations growing. And I think as we kind of spoken about, people often talk about small businesses being the backbone of the UK economy. I mean, if we talk about some of the figures, 99 % of all businesses are small businesses. If you drill down further, over 50 % of all businesses in the UK are actually sole traders. So kind of, you know, one person doing something, it could be a plumber, it could be somebody who is a content creator, there's lots of different ways that people can do that. And so this is why access is a really important point.

39:07I think it's both linking it back to the original point of access, people's own financial health and resilience their own credit score their access to payment systems that work well and being paid on time and being able to kind of invoice and and pay vendors and receive payments on time all these things are interlinked and how we kind of improve growth which i guess has been a bit of a buzzword

39:28Laura Watkins:for a little whiner yeah absolutely um but marie sure if we kind of take the the stripe element of it uh and we kind of look at that in isolation stripe is kind of almost looking like an essential piece of financial infrastructure at the moment and they've made some very large partnerships in recent years obviously with Lloyd's in the UK but taking it more internationally Goldman Sachs Citi fifth third in the US and also UAE neobank WIO to look at SME kind of support in the UAE so they're not you know just sticky in one industry in one geography like how impactful do you think this kind of infrastructure play could be at an international scale?

40:11I think it's extremely important, A, because Stripe has, like you said, the global scale. So they're able to take this infrastructure and create kind of access for SMEs globally, right? And if you look at, you know, the list of banks that you've just mentioned, they're already doing that for some of the largest, you know, fastest growing banks globally. And let's look at WIO as an example. So we also power WIO in the Middle East. And WIO was the fastest growing digital banks for SMEs across the Samir region. Now, partners like Stripe really helped to enable that infrastructure. because some of the most influential companies and financial services, they don't have the capability to rebuild every time they want to add on new functionality.

41:01And so using an amazing platform like Stripe, they're able to very easily tap into the technology that they need without having to rebuild everything themselves. So when you look at the type of infrastructure that Stripe has created, it's really infrastructure at scale and it's basically enabling entire ecosystems across the board, whether it's a bank, whether it's a fintech, whether it's, you know, other SME segments, they really are, you know, enabling. And if interesting connect, if we look at, you know, the Stripe use case and what they are building and what May and the team have done with Common AI, it's very similar.

41:42It's creating an orchestration layer to create access for multiple SMEs. It's just a different segment. So increasingly, you're seeing the industry shift towards creating these different types of infrastructure to unlock services across the board. And that's what we love to see because inclusion and I think all three of these stories really talk about inclusion, but with a different lens. And that trend is probably one of the most exciting we're seeing in financial services.

42:12Laura Watkins:That's such a good point. The connection between all of our stories, but also that kind of investment in inclusion and often inclusion is enabled by easy onboarding, easy access, sort of frictionless access to these services. May, what was your take on that? Like kind of the sort of emphasis on speed and simplicity being such a game changer to open up access? I mean, this is really important for, you know, the business banking community, which is, you know, as everyone said, has been, you know, oft overlooked. And, you know, it's really important that we continue to support the SMEs because, as Diana said, 99 % of these SMEs are the lifeblood of the economy.

43:02and I think this is really important for the UK economy. We need every help that we can get and so coming back to I think some of the key threads here, we're seeing the government through Diana's piece supporting these kinds of initiatives like cross-subsidising and encouraging the Monzos of the world to enter this. We're seeing Lloyds offer this kind of service behind the scenes, the UK government is, I'm sure, encouraging large institutions like this to be inclusive to the SMEs and even coming back to Common AI. This week is London Tech Week, and you'll have seen the UK's 1.1 billion budget allocated towards AI hardware, which is the physical and digital infrastructure that's really important for the UK economy.

43:59Laura Watkins:What we're saying is basically all of our stories today are talking to each other around inclusion and access and the vast impact that can make on the UK economy and economies around the world when these things all come together. So on that note, we're going to take a quick pause back shortly.

44:21Laura Watkins:Okay, now for a quick look at a story we don't have time to cover in full today, and that is that Aviva detects record 230 million pounds in bogus insurance claims as use of AI rises. The story in The Guardian, Aviva says it detected more than 230 million pounds worth of fraudulent insurance claims last year, identifying over 18 ,000 suspicious claims across its brands. The insurer says fraudsters are becoming increasingly sophisticated using AI-generated images, manipulated documents, and fabricated accident scenes to support false claims. Motor insurance accounted for the majority of the cases, with Aviva reporting a shift away from staged collisions and towards exaggerated claims for vehicle damage, repairs, higher cars, and personal injury.

45:09Laura Watkins:At the same time, the insurer says it's using AI and advanced analytics of its own to detect suspicious activity more quickly, highlighting an increasingly familiar trend across financial services. So yes, I don't think this one comes as an enormous surprise that claimers are using AI to kind of augment their claims. This is sort of the bad side of AI in terms of how you know it can be used to manipulate images in particular to show bigger dents or scratches whatever you're trying to prove but at the same time we also have AI fighting AI in terms of how Aviva is using the AI to detect sort of fraudulent claims and so these also serves as a reminder that fraud isn't a victimless crime insurers argue that fraudulent claims ultimately increase costs across the system contributing to higher premiums for legitimate customers.

46:04Laura Watkins:So yeah, please don't do that, guys. You're making it worse for everyone. But yeah, this is just another example of how AI is rapidly changing the nature of financial crime and the tools that firms need to respond to it. So that was sort of last year's amount of bogus claims. We'll see what the 2026 numbers look like, but I imagine they're going to go up before they go down, unfortunately. But now I'm going to take us into our and finally section where we have an accidental billionaire story. A man in Turkey became one of the richest people in the world without realizing it. This story from Euronews, a man in Turkey briefly found himself among the richest people on the planet, at least according to his bank balance.

46:46Laura Watkins:Ahmed Yangharad Tekalo, a 32-year-old living in the eastern Turkish city of Van, discovered something was wrong when his bank card stopped working during a trip to the supermarket. After contacting his bank, he discovered his account appeared to contain almost 1 trillion Turkish lira, equivalent to roughly$21.8 billion. That would have made him richer than many of the world's most famous billionaires. However, he has absolutely no idea where this money has come from. The bank quickly froze his accounts and launched an investigation, leaving him unable to access any of his money while the review continues.

47:21Laura Watkins:According to local reports, Takalo even asked AI what someone could do with that much money, with suggestions ranging from major infrastructure projects to buying vast quantities of gold. So, panel, if you wake up one morning and discovered$21 billion sitting in your bank account, what would be the first thing you'd do, Marusha? I must say, when I read the story, I just thought to myself, I am clearly a very risk-averse person, because the first thing I would do would be to contact my bank. I think, you know, being in the financial services space, we are trained to, you know, question the data and, you know, dot all the I's and cross the T's.

48:01So I think from my lens, the first thing I would do is really just check if it's accurate. And I think we've seen a couple of stories where this has happened in other areas. I think the one lady was a student actually used the funds. And then I think I can't remember, but I think she either was arrested or went to prison or something like that. So for me, it would always be call the bank, check if it's real, that kind of thing.

48:23Laura Watkins:Maybe don't buy a private island just yet. Don't buy a private island. I must say, I might invest in the gold piece. That would probably be my first stable coin. I mean, I'm sure I could think of things to spend$21 billion on without having to ask AI. We wouldn't need AI at all. Deanna, what was your take on this one? And, you know, obviously there is an issue that kind of connects all of our stories around, you know, what happens when your bank balance isn't correct and you don't know why. And, you know, you actually don't know how this happened in the first place. Well, first of all, I think it's a great dinner party question.

48:58I might save that for the next time I'm hosting and one that's hard to answer. I think the thing that really resonated with me when I was thinking about this was the fact that the man to whom this happened, you know, one of the first things he did was to go to AI to discuss that. And in lots of ways, it doesn't really surprise me. I think lots of us have seen the data around lots of people are using it as a kind of a way to confide in. Lots of people are using it as kind of like informal therapy sessions. I mean, even the Mental Health UK have said that one in three are using it as mental health support.

49:37And there's that link between mental health and finances and being something that is quite private, that it can be awkward to talk about money. And it might be awkward to talk about money because you're in problem debt. Or it's awkward to talk about money because actually you've just had a great promotion. You're earning a lot more than your peers and it's a bit uncomfortable to kind of be open about that. So there's lots of different ways that that can happen. And it's interesting, actually, OpenAI have just launched their financial support function in the US where you can actually connect all your accounts and get financial advice of sorts.

50:09So there's lots of like really interesting things that are happening out there. But really what this reminds me of is that talking about money can be uncomfortable, which is why often when people are in problem debt, they don't turn to debt advice until it's about 18 months too late from the time that they've started experiencing issues. so I guess part of this is also a bit of a plug to say if someone's who listening to this you know somebody who's got issues with money or struggling encourage them to talk to a person and maybe in the future to AI too but for now to a debt advice organization or to somebody else because it it can be awkward talking about money so I can see why why the man in Turkey decided to choose to do that

50:48Laura Watkins:and also like to be fair to him he literally while they were figuring out how this went wrong he couldn't access any of his money which also puts him in a in a very difficult position. Yes I did think that I thought that's quite unhelpful for somebody who's trying to do the right thing. While also publicizing what's in his bank account which equally leaves him vulnerable to robbery I should imagine as well but May what was your take on this one? Yeah I mean it just kind of comes back to you know what we were talking about at the top at the start which is about banks need technologies like high assurance programs to make sure that these sorts of things don't happen, whether that's AI or that's, you know, bog standard controls, you know, something somewhere in the system went wrong and controls failed at some point in the cycle.

51:40The appropriate flags weren't raised and this thing obviously happened. So I'm sure, you know within the bank there's going to well I hope within the bank there's going to be a post-mortem of how it happened but also how you correct it and ensure that it doesn't happen and and the worst is you know if it was 21 billion obviously you know someone you know this poor guy Takalo noticed it but what happens if it was you know 10 pounds out or a thousand pounds out or£10 ,000 out. You know, those sorts of things can go easily undetected and the worst is if it was on the wrong side of the consumer. So those sorts of things, you know, consumers do need to be protected at scale and that's why, you know, high assurance type solutions are super important for a financial institution.

52:31Laura Watkins:Yeah, absolutely. Because, I mean, you know, it is kind of hilarious that he ended up richer than, you know, Bill Gates because of a clerical error. But he equally meant that he couldn't access any of his own money, which is, you know, it doesn't help him pay his bills day to day. And obviously an error like that is so obvious to spot, but obviously slow to fix if he was sort of blocked from everything for a little while. So, yeah, you're totally right. Everything needs the right checks and balances, but the customer shouldn't necessarily pay the price for an admin error within the institution.

53:03Laura Watkins:It's got to be about balance, right? You've got to be able to protect your customer while still fix your own technical error. And I think that's where when you have these, you know, these errors which are of this massive size, that's where banks kind of, you know, all of the customer experience tools go out the window. So we have to get better at that. Absolutely. But I'm going to end the show there. But I think, yeah, we've kind of we've talked about this at length, but it all resonates that, you know, sort of access, inclusion and sort of fair checks and balances, you know, kind of what makes the whole system so much better.

53:41Laura Watkins:But thank you so much to today's guest. Thank you so much for joining me today. Where can people find out a little bit more about you and your companies, starting with you, May? Yep. So I'm on LinkedIn. I can also be found on our Anthemist page, as well as the Common AI website. And a little bit more about Common AI. We've had a number of really great press releases that have come out. So feel free to read about it. Google AI, I guess, find out a little bit more about it through AI. Fantastic. Thank you. Deanna? Thanks, Laura. Lovely to be on. Listeners can find out more about Fairful Finance by either Googling Fairful Finance or going into our website, which is justendswith.org.uk.

54:29We're also on LinkedIn and other channels. Particularly interested to talk to banks and digital banks who want to try something different, who want to serve customers and not been able to. Likewise, insurance providers. It's not something that we spoke about a lot today, but over 26 % of people in the UK don't have any insurance at all. So another really important tool to have financial resilience. So also launching some interesting pilots and work around that. So kind of anyone who's interested in this space, please do reach out to us and we'd be happy to connect.

55:01Laura Watkins:Fantastic. Thank you. Marisha? So as usual, people can go to paymentology.com or access the Issuer Academy on LinkedIn, Spotify or Apple Music. and please also you know listen to our podcast on the issue academy always trying to demystify payments and make it nice and easy for everyone to understand and then for myself you can find me on linkedin wonderful and say for me you can find me laura watkins on linkedin or check out 11fs.com or hopefully you already subscribe but please do keep listening to this podcast and that wraps up today's episode thank you so much for listening if you've liked what you've heard please make sure to follow us on your favorite podcast platform of choice and if you really like what you've heard please feel free to share the podcast with a colleague or friend and as always if you want to join the conversation find us on social media search for 11fs or fintechinsigner and we're on basically all platforms or email me and the team podcasts at 11fs.com thanks again and goodbye

From the publisher

Host Laura Watkins - Director of Media and Marketing at 11:FS - is joined by some great guests to discuss the biggest stories from the world of financial services over the past week.

This week's guests:

Mei Lim, Group CFO and Managing Partner of Anthemis

Diana Kamil-Salmon, Associate Director at Fair4All Finance

Merusha Naidu - Global Head of Partnerships at Paymentology 

Plus a voice note from:

Luke Enock, General Manager, Borrowing at Monzo

Stories/timestamps:

Barclays backs UK AI Innovation with investment in CommonAI - (04:37)

Monzo partners Fair4All Finance on card for Brits with poor credit scores - (18:52)

Stripe and Lloyds debut payments suite for UK small businesses (32:13)

Aviva detects record £230m in bogus insurance claims as use of AI rises - (44:21)

A man in Turkey became one of the richest people in the world without realising it - (46:26)

Links to check out:

Open Mic Night

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About Fintech Insider:

Fintech Insider by 11:FS is a bi-weekly podcast that covers everything from finance and banking to technology and the latest trends in financial services.

Our expert hosts, with hands-on industry experience, are joined by key decision-makers, VCs, and top reporters from across the financial landscape, including guests from companies like Stripe, Revolut, Plaid, PayPal, and Monzo. Together, they break down the biggest news and innovations shaping the space.

Our weekly news show drops every Monday, covering major stories like mergers, new product launches, regulatory shifts, and emerging tech trends. On Thursdays, our Insights show goes deeper into the hottest topics driving the future of finance, including AI in banking, decentralised finance, and the evolving landscape of embedded finance.

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