Financial Technology Solutions

Indian women have done everything the financial system asked. Opened accounts. Saved diligently. Built credit histories. But. We receive credit equivalent to just 25%+ of the deposits we put into the banking system. Men receive 50%+ of that, double what we get. We are, in effect, subsidising credit for men. The credit system was built to read a specific kind of financial life - formal salary, titled property, guarantors from the right networks. Women’s income is often informal, seasonal and home-based. Our assets are rarely in our names. So, the traditional system writes us off rather than underwrite us. Consider this - Women constitute 20% of India’s MSMEs and hold just 7% of MSME credit. However, we have better data today than we had decades ago. Digital payments history, Aadhaar-linked identities, GST trails and much more. If you are building a lending product, whether you’re a bank or a fintech, the question is whether you’re reading the additional signals, in fact the signals that can make or break women’s credit. 45 crore of us are credit-eligible and waiting. Is the ecosystem ready for us? Source: NITI Aayog-TransUnion CIBIL-MicroSave Consulting 2025, Microsave 2020 #CreditAccess #WomenEntrepeneurs #FinancialInclusion #IndiaFintech

In 2021, I became the first woman to head a unicorn in Israel, AKA Startup Nation. In many parts of the world, women are excluded from even the most basic financial services, so leading a fintech company is far from their reality. United Nations data estimates that 3.8 billion women live in the world, 50% of which are adults. According to the World Bank’s Global Findex Database, 1.4 billion of those 1.9 billion adult women, are unbanked. That’s 73.65%. Visit that statistic again. It represents a disturbing gender gap in financial access, with women being far less likely than men to have bank accounts or access formal financial services. This financial exclusion has personal impact. It diminishes women’s economic empowerment by restricting access to education and limiting their potential for personal growth and independence. It makes women more financially dependent, and therefore, more vulnerable. There's economic impact, too. Research by McKinsey highlights the economic loss due to financial exclusion of women, noting that closing the gender gap in labor force participation could add trillions to global GDP. Financial inclusion isn’t just a matter of equality – ensuring the same opportunities for all. It’s a matter of equity - ensuring women have the tools and access they need to fully participate in the global economy. That’s where technology enters the picture to level the field. The rise of mobile banking is a great example of innovation enhancing financial inclusion. According to a report by the International Finance Corporation, mobile money accounts are more popular among women in regions like Sub-Saharan Africa, where access to traditional banking is limited. Various fintechs provide financial literacy resources, helping women understand financial products, budgeting, and saving strategies. Other solutions include AI-driven platforms that offer personalized recommendations and advice, empowering women to make informed financial decisions. Aside from personal apps and solutions, fintechs can facilitate community-based lending and saving initiatives, allowing women to support each other through group savings or microfinance schemes, fostering a sense of solidarity and shared purpose. This International Women’s Day’s theme is "accelerate action". In my mind, nothing accelerates action like innovation. As we mark International Women's Day, let’s advocate and innovate to enhance financial inclusion for women worldwide. #IWD2025 #financialInclusion Papaya Global

Underwriting is about to experience the same disruption payments saw with UPI silent, intelligent, and hyper-personalized. Traditional actuarial models, largely built on age, gender, and medical history, are no longer enough to accurately price risk. The future of underwriting is about 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞, 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐫𝐢𝐬𝐤 𝐨𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧. A McKinsey study estimates that 𝐀𝐈-𝐞𝐧𝐚𝐛𝐥𝐞𝐝 𝐮𝐧𝐝𝐞𝐫𝐰𝐫𝐢𝐭𝐢𝐧𝐠 𝐜𝐚𝐧 𝐫𝐞𝐝𝐮𝐜𝐞 𝐥𝐨𝐬𝐬 𝐫𝐚𝐭𝐢𝐨𝐬 𝐛𝐲 𝐮𝐩 𝐭𝐨 𝟐𝟎% through more accurate segmentation and predictive modeling. Insurers are already leveraging geolocation, wearable data, and transaction behavior to assess actual lifestyle risk, not just what’s declared on a form. Instead of pricing a policy once at issuance, underwriting will become continuous. Transactional data from IoT, telematics, and payments will enable dynamic risk tiers such as auto premiums recalibrating monthly based on real driving behavior. With explainability frameworks (like XAI), underwriters can ensure AI doesn’t become a black box. This is critical as 𝟖𝟐% 𝐨𝐟 𝐠𝐥𝐨𝐛𝐚𝐥 𝐫𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐬 𝐞𝐱𝐩𝐞𝐜𝐭 𝐬𝐭𝐫𝐨𝐧𝐠𝐞𝐫 𝐀𝐈 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐢𝐧 𝐢𝐧𝐬𝐮𝐫𝐚𝐧𝐜𝐞 over the next 3 years The top insurers are building ecosystems. Partnerships with mobility, fintech, and health platforms will give them richer, more reliable signals, transforming underwriting from risk prediction to risk prevention. The underwriting engine will sense, learn, and adapt in real time, turning insurance from reactive protection to proactive resilience. #DigitalIndia #Fintech #AI #technology #Fintech #technology

When Fintech gets it wrong: Horror stories & how not to become one. In fintech, innovation is celebrated—but when things go wrong, the outcomes can quickly become the stuff of nightmares. Having spent two decades navigating the regulated fintech world, I've witnessed more regulatory disasters than I'd care to admit. Trust me, you don't want your fintech startup becoming the cautionary tale others share over coffee. Here's the dark side of fintech—mistakes, missteps, mishaps—& crucially, how you can avoid them. Horror story #1: The billion-dollar 'Oops' In 2023, fintech fines globally reached a terrifying $6 billion, according to Fenergo. From misreporting to outright negligence, many startups learned that 'move fast & break things' doesn't work when regulators are watching. Lesson? Speed matters, but compliance matters more. How to dodge this bullet: • Invest early in robust compliance teams & frameworks. • Embed compliance within your culture—not just as an afterthought. Horror story #2: The Crypto catastrophe Last year alone, Chainalysis reported $3.5 billion in digital asset theft—mostly due to poor security hygiene in fintech platforms. The market isn't forgiving: one security breach & your customers vanish quicker than you can say 'crypto crash.' How to dodge this bullet: • Adopt bank-grade security standards (ISO/IEC 27001, SOC2, etc.). • Conduct regular penetration tests—think of them as annual health checks for your business. Horror story #3: Lost in translation (or, regulatory miscommunication) Regulators shut down operations at several high-profile fintech startups recently, not because they were malicious—but because they failed to clearly communicate & demonstrate compliance. Remember, regulators don’t speak your language; you must learn theirs. How to dodge this bullet: • Foster regular, proactive communication with regulatory bodies. • Train your leadership team in regulatory fluency—make it part of the CEO’s toolkit. Your Fintech survival kit: 1. Stay paranoid: Assume vulnerabilities exist & constantly hunt them down. 2. Be proactive, not reactive: Stay ahead of regulatory changes—anticipate & adapt. 3. Transparency is currency: Clearly articulate your compliance standards to customers, regulators, & investors alike. Nobody wants their fintech legacy defined by horror stories. Embrace these lessons, avoid these missteps, & ensure that your fintech journey is remembered for innovation—not for being the cautionary tale at next year’s fintech conference. #Fintech #Leadership #Compliance #Crypto #Innovation #Security #Regulation #CEOInsights #Management #Business #FinancialTechnology

Wall Street just wiped out $25B in insurance brokerage market cap. WTW down 12%. Aon down 9.3%. Marsh down 7.5%. Why? Because ChatGPT can now quote home insurance. The only issue: those brokers don't do home insurance. They're doing large commercial and middle market. Think manufacturing plants, hospital systems, large-scale construction projects. Here's what that actually looks like: A broker visits a factory floor to understand the risk profile. They walk the site, talk to operations, assess exposures that don't show up in any database (what machine will be the hardest to replace if it breaks?). Then they negotiate with underwriters, balancing a client who wants the broadest coverage at the lowest price against a carrier who wants the opposite. And when a $10M claim gets denied? The CFO isn't asking ChatGPT. They're calling the broker, the one they can sue. That's the job. Physical presence. Creating leverage through underwriter relationships and negotiation. Accountability. Will technology disrupt standardized lines like home and auto? It already has. You've been able to buy direct from carriers online for years. But bespoke commercial? The stakes are too high and the interests too misaligned for direct sales to work. A factory isn't structuring their insurance program in ChatGPT. Will the big brokers need to adopt AI to stay competitive? Absolutely. As a broker, are you wise to specialize in bespoke risks rather than standardized lines? For sure. Will there still be humans in the loop? Certainly. Scale matters in the brokerage business. Negotiating leverage. Data. The ability to coordinate complex multinational programs. These aren't going away; they're being augmented. Not to mention that insurance has long cycles, giving incumbents plenty of time to adapt. What we saw Monday was asset managers who don't understand insurance overreacting to a headline. The real disruption in mid/large commercial insurance won't come from replacing brokers. It will come from making them dramatically better at serving their clients. That's what we're building at Vantel.

Driving Financial Inclusion: The Next Steps Financial Inclusion ensures individuals and businesses can access financial services, fostering economic growth. While India has progressed through digital advancements, innovative credit models, and supportive policies, more efforts are needed—especially in rural areas and among women. Expanding Digital Access Reliable and affordable internet is crucial for financial inclusion. BharatNet, India’s largest rural telecom initiative, will connect 2.5 lakh Gram Panchayats with broadband, while TRAI’s proposal to cap broadband costs will enhance affordability. These initiatives will bring financial services closer to rural communities, ensuring accessibility. Empowering Women Through Credit Enhancing financial access for rural women is essential. Over 54.5 crore Jan Dhan accounts have been opened, with 57% belonging to women. However, women hold only 20.8% of total bank deposits, with rural women accounting for 30%. The number of women borrowers has grown at a CAGR of 22% since 2019, with 60% from semi-urban and rural areas. Traditional credit evaluation methods often exclude women engaged in informal work. Fintech innovations, mobile banking, and AI-driven credit models are bridging this gap by offering a more inclusive assessment of creditworthiness. Alternative credit models focused on ability and intent to repay will enable more women entrepreneurs to access financial support, driving economic participation. YES BANK's Commitment A truly inclusive financial ecosystem requires innovation, partnerships, and financial literacy. At YES BANK, we are committed to financial empowerment by leveraging digital solutions and community outreach. YES BANK is driving financial inclusion through #DigitalBankingUnits (DBUs), which provide seamless financial access in remote areas, and #YESMoney along with our #BusinessCorrespondent (BC) network, which bring essential banking services closer to underserved communities. Additionally, our AI-driven credit assessments for MSMEs enable faster loan approvals, while financial literacy initiatives equip individuals with the knowledge to make informed financial decisions. A Collective Effort for Financial Inclusion Achieving financial inclusion requires collaboration across industries, policymakers, and financial institutions. By leveraging technology, financial literacy, and innovative credit models, we can build a system that empowers individuals and businesses to participate actively in the economy. An inclusive financial system doesn’t just enable growth—it fosters resilience, opportunity, and long-term prosperity for all. #FinancialInclusion #DigitalBanking #WomenEmpowerment #RuralBanking #FintechInnovation #MSMEs #BankingForAll #EconomicGrowth #CreditAccess #FinancialLiteracy

AI doesn’t stumble on technology. It stumbles on trust. Most companies still deploy AI like old IT systems: top-down, pre-baked, “here’s your new workflow.” And then they wonder why adoption stalls. The numbers say it all: Trust in company-provided gen-AI fell 31% in two months. Trust in autonomous tools fell 89%. That’s not resistance — that’s feedback. You can’t mandate trust. You have to earn it — and track it. If you can measure sentiment, friction, and confidence, then Trust Health becomes a KPI. Treat it like latency or uptime: if the trust baseline drops, you stop the rollout. Simple. And once trust is a KPI, the approach shifts: - Co-create workflows with the people who actually do the work. - Ship in small loops to reveal friction early. - Make “No trust → No scale” a rule, not a slogan. The companies winning with AI aren’t the ones with the flashiest models. They’re the ones that understand one thing: Technology is cheap. Trust is the moat. What’s the one trust metric you’d track before scaling any AI tool in your organisation? https://lnkd.in/eRShuVSs #AI #Transformation #Business #Strategy

When Amerisure Insurance set out to modernize their IT operations, they saw an opportunity to rethink how the entire organization gets work done. They evaluated the options, including enterprise platforms that would have required a dedicated team to manage, and landed on Freshservice specifically because they wanted AI built into the system, not added on top of it. What happened next is the part I keep thinking about. Their IT analyst, Daniel McMaster, didn’t just fix IT. He built out 50+ custom workflows, brought legal, HR, underwriting, marketing, and facilities onto the same system, and deployed Freddy AI Insights to surface anomalies he never would have caught manually. One line says it all: "I used to spend an hour every morning looking at ticket trends. Now I spend three minutes with Freddy Insights — and I get better data." It’s the expansion pattern that stays with me. IT fixed its own house, and the rest of the business followed. Not because they were pushed, but because the results spoke for themselves. One platform, scaling across the enterprise without adding headcount or operational complexity. Result: 4,000+ hours saved in 2025. Employee onboarding resolution dropped from 118 hours to 4. Not AI as a moonshot. AI as the thing that gives you your morning back, and makes the whole organization run better while it does it. Read the full story: https://lnkd.in/e6Qnjnei #Freshworks #Amerisure #AI

I recently had an engaging conversation with a client about #EmbeddedFinance - the integration of financial services into non-financial platforms via APIs. While industries like #telco and #retail have embraced this, #banking faces unique challenges that make implementation far more complex. 𝗞𝗲𝘆 𝗣𝗶𝘁𝗳𝗮𝗹𝗹𝘀 𝗶𝗻 𝗘𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗙𝗶𝗻𝗮𝗻𝗰𝗲 🛑 Regulatory Pitfalls: Delegating compliance without oversight can lead to failures, as seen with Lietuvos bankas | Bank of Lithuania, who revoked a vendor's license for AML violations. Solaris SE mitigated this by deploying automated compliance tools and partnering with #RegTech firm Alloy to centralize audit trails. 🛑 Reputation Damage: Data breaches at white-label partners can harm brand trust, as Blue Ridge Bank experienced, leading to stock losses and partnership terminations. Stripe avoided this by implementing end-to-end encryption and transparent disclosures in its 2024 Trust Report. 🛑 Technical Debt: Over-customizing legacy systems can lead to unsustainable costs, as evidenced by a major EU bank abandoning its embedded lending project after spending €42M on incompatible APIs. JPMorganChase succeeded by building a cloud-native embedded finance platform using modular APIs. 🛑 Customer Confusion: Unclear liability for disputes can frustrate users, as seen in BNPL firms where 40% of complaints stemmed from merchant-lender conflicts. Klarna addressed this by launching a unified resolution portal that tracks disputes across all merchant partners in real time. 🛑 Profit Margins: Commoditized services like BNPL face intense price competition, causing margin compression and forced some European providers to exit the market. Synchrony differentiated itself through hyper-personalized patient financing using AI to match repayment terms with insurance claim cycles. 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝗳𝗼𝗿 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗜𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻𝘀 ✔️ Partner with #RegTechs for automated compliance to prevent regulatory failures and enhance oversight of fintech partners. ✔️ Invest in cloud-native architectures to avoid technical debt and ensure scalability for embedded finance solutions. ✔️ Build customer trust through transparent partner roles and centralized dispute resolution systems to reduce confusion and improve satisfaction. We all agree that embedded finance offers immense potential but requires strategic execution to navigate risks while driving innovation in financial services ecosystems. What are your thoughts on the challenges of #embeddedfinance in the #banking industry?

The room went quiet when I said it. "If we're going to innovate, we have to innovate for relevance." I was sitting across from a packed audience at InsureTech Silicon Prairie -founders, executives, operators - all hungry for the "innovation playbook." But here's what I told them instead: The biggest barrier to innovation isn't lack of ideas. It's fear of being wrong. Now in its sixth year, Lloyd's Lab is one of the world's most successful InsurTech accelerators. We've watched over 100 startups pitch, pivot, scale, and sometimes fail. And the pattern is always the same: the teams that succeed aren't the ones with the perfect plan. They're the ones willing to fail fast, learn faster, and keep moving. But here's the thing…that only works if the environment allows it. At Lloyd's Lab, we don't ask entrepreneurs to prove it before they try it. We create space for experimentation. We operate from a simple principle: there are no wrong answers, only the courage to try. That's not just startup advice. That's a leadership mandate. With Pitch Day for Cohort 16 ahead of us, I’ve been reflecting on the fundamental strengths I’ve observed in successful entrepreneurship. If you're running a team, a department, or a company, ask yourself: Are your people afraid to be wrong? Do they spend more time defending ideas than testing them? Are you rewarding certainty over curiosity? Because here's what I've learned across eight countries, four continents, and decades of driving businesses forward: innovation dies in cultures that punish failure. So how do you shift from "prove it" to "try it"? Three things: 1. Create common language. Before we can solve complex problems together - whether it's AI risk, climate adaptation, or talent shortages - we need to agree on definitions. Innovation isn't a buzzword. It's a discipline. Define it clearly. 2. Fail fast, succeed faster. Give your teams permission to test, iterate, and move on. Speed matters more than perfection. The goal isn't to avoid mistakes, it's to learn from them quickly. 3. Always solve for the end customer. Innovation for innovation's sake is theater. Real transformation happens when we focus on relevance - when we ask, "Does this make life better, easier, more resilient for the people we serve?" At the end of the day, transformation isn't about having all the answers. It's about creating the conditions where the best ideas can surface, fail, evolve, and ultimately succeed. And it starts with one question: What would your team try if they weren't afraid to be wrong? What's stopping innovation in your organization—fear of failure, or lack of psychological safety? Let's talk about it in the comments. Eric Dunning #innovation #failfast  #transformforward