Differentiating insurance firms through innovation

Insurance companies are operating like it's 1995. Here's how to fix it: The last time I bought a policy: • Filled out a clunky form • Answered questions from memory • Got a rate based on data I typed in once That same data underwrites me for 12 months. No updates. No context. No acknowledgment that life changes. Meanwhile, everything else is dynamic: → My watch tracks heart rate continuously → My car reports driving habits in real-time → My bank sees spending as it happens But insurance is still stuck in static data hell. Here's the massive opportunity I'm seeing: 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲, 𝗼𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲 𝗱𝗮𝘁𝗮 𝘁𝗵𝗮𝘁 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲. Insurers get better underwriting and fraud detection. Consumers get fair pricing and actionable insights. 10 ideas I'd build (or help build): 1. APIs for embedded behavioral insurance 2. Disability insurance tracking burnout signals 3. Pet insurance using GPS and vet data for fair pricing 4. Fleet coverage updating on real-time driving behavior 5. Risk prevention tools that stop claims before they happen 6. Credit protection based on cash flow, not just credit scores 7. Crop insurance with microclimate sensors and satellite data 8. Wearables-based life insurance rewarding sleep and movement 9. Smart home insurance that adjusts for water usage and occupancy 10. SMB coverage monitoring QuickBooks and Slack for operational risk The space is wide open. Traditional carriers are too slow to innovate. This is where the next billion-dollar insurance companies get built.

Less than 1% insurance penetration across most of Africa. That number hasn't moved meaningfully in years. And the industry's response has largely been: "We need better marketing." I respectfully disagree. The product needs reinvention. Not louder promotion. The issue isn't awareness. People understand risk. They deal with it every day. The issue is product design. Most insurance products sold in Africa were architected for markets with very different economic structures. Monthly premiums, agent-driven distribution, lengthy claims processes, none of this maps to how the majority of Africans live and work. Here's what a reimagined insurance industry looks like: • Micro-insurance with flexible premiums. Daily or weekly contributions that match actual income cycles. A farmer who earns at harvest shouldn't be forced into a monthly payment schedule. • Parametric models that pay automatically. Rainfall below a certain threshold? Payout triggers instantly. No forms. No waiting. No trust deficit. • Mobile-first distribution. Products that travel through the platforms people already use, embedded in the transactions they already make. • Community-based design. Insurance has always been about pooling risk. In Africa, communities already do this naturally. The smartest products will build on existing social structures, not replace them. The opportunity is extraordinary. Over a billion people who need financial protection and will adopt it when it's designed for their reality. What's the most interesting insurance innovation you've seen recently? #Insurance #FinTech #Africa #Innovation #ProductDesign

AI in insurance is not a productivity hack 🚫 Automating the past is safe and will generate marginal returns. The real value lies in underwriting the future! AI is being talked about everywhere in insurance. Too often, the conversation stalls at efficiency theatre. Faster underwriting. Cheaper claims handling. Fewer people doing more work. Useful, but small. The real opportunity sits elsewhere. Reimagining Risk in an AI-Driven World, developed by the International Insurance Society, captures this shift well. Having contributed to the report and led the executive workshop in Zurich, one message came through very clearly: the next decade will separate insurers making marginal improvements from those rebuilding their operating models around new forms of risk, data, and human judgement. AI is not the strategy. It is the unlock 🔓 The strategic upside is not incremental. It sits in: • New insurable risks emerging from intangible assets, cyber, AI, and climate • Proprietary knowledge graphs, data, decision systems become a true edge • Human judgement being augmented, not replaced, in a trust-based industry • Governance, talent, and data strategy becoming board-level differentiators, not IT issues 🤩 One stat should give leaders pause. Nearly 90% of firms are experimenting with GenAI, yet only around a quarter have anything in real production. Plenty of motion. Limited transformation. That gap is not about technology. It is about operating model courage. Keen to hear from peers across insurers, reinsurers, brokers, MGAs, and insurtechs: • Where have you seen AI move the needle beyond efficiency? • What is genuinely blocking scaled deployment? • Are we underwriting new risks fast enough, or just automating old ones? If insurance gets this right, we don’t just adapt to an AI-enabled world. We become one of its core stabilisers. Thoughts and counter-views welcome. Full report link in comments 👇 Anders Malmström, Joshua Landau, Colleen McKenna Tucker

𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞 𝐰𝐚𝐧𝐭𝐬 𝐀𝐈. 𝐕𝐞𝐫𝐲 𝐟𝐞𝐰 𝐢𝐧𝐬𝐮𝐫𝐞𝐫𝐬 𝐚𝐫𝐞 𝐩𝐫𝐞𝐩𝐚𝐫𝐞𝐝 𝐟𝐨𝐫 𝐰𝐡𝐚𝐭 𝐀𝐈 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐞𝐱𝐩𝐨𝐬𝐞𝐬. The insurance industry crossed a line in March 2026 that most leaders are just starting to recognise. AI is no longer living in innovation decks. It is now embedded in live underwriting decisions, claims processing, customer interactions, and portfolio management and that changes the entire game. Here is what is becoming impossible to ignore this month: 𝟏. 𝐏𝐢𝐥𝐨𝐭 𝐩𝐡𝐚𝐬𝐞 𝐢𝐬 𝐨𝐯𝐞𝐫 Capgemini's 2026 outlook confirms it: AI is driving measurable value across underwriting, claims, and customer engagement right now. The question is not "Should we test AI?" anymore. It is "How do we scale this without breaking what works?" 𝟐. 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐬 𝐚𝐫𝐞 𝐰𝐚𝐭𝐜𝐡𝐢𝐧𝐠 The UK FCA announced it will assess AI use in underwriting, claims, and consumer services this year. Translation: if you cannot explain how your AI makes decisions, you have a problem. 𝟑. 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫𝐬 𝐚𝐫𝐞 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐭𝐡𝐞𝐫𝐞 Capgemini reports 60% of customers are willing to share personal data for more tailored coverage. The demand for personalized insurance is not coming. It is already here. 𝟒. 𝐀𝐈 𝐢𝐬 𝐧𝐨𝐭 𝐭𝐡𝐞 𝐛𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤 Data quality is. Legacy systems are. Governance is. AI does not hide infrastructure problems. It amplifies them. And it is happening faster than most leadership teams anticipated. 𝟓. 𝐓𝐡𝐞 𝐫𝐞𝐚𝐥 𝐬𝐩𝐥𝐢𝐭 𝐢𝐬 𝐡𝐚𝐩𝐩𝐞𝐧𝐢𝐧𝐠 𝐧𝐨𝐰 The winners in 2026 will not be the insurers using the most AI tools. They will be the ones who can clearly answer these three questions: • What decision is AI influencing? • Who owns accountability for that decision? • Can we explain it to regulators, customers, and the board in plain language? That clarity is where the market is dividing. Not between AI adopters and non-adopters. Between insurers scaling AI with governance and insurers still just experimenting. The differentiator is not AI anymore. It is operational readiness. What is blocking progress in your organization right now: data quality, governance frameworks, legacy infrastructure, or leadership alignment? #AIinInsurance #InsuranceLeadership #InsurTech #AIGovernance #FutureOfInsurance #DecisionIntelligence

🌟 Innovation is not always the shiny new thing. Sometimes it is adding four wheels to the luggage your customers have been dragging for years, shares Xavier Lestrade 💫 Can you imagine traveling today with luggage that has no wheels? That question from Xavier Lestrade stayed with me after our conversation on #ScoutingforGrowth. Because it captures something many insurance leaders are wrestling with now. Innovation is not always about the next shiny app, pilot, or sandbox. Sometimes, the real transformation is in the core experience we have allowed customers to tolerate for too long. In health insurance, that experience is often still too fragmented. Members pay premiums. Then they pay again at the point of care. Then they wait to be reimbursed. As Xavier put it: “It’s a bit weird to pay twice for a service you already purchased.” At AXA Global Healthcare, the ambition is different: move from payer of claims to partner in care. This means creating an experience where members can tap a digital payment card at the doctor, avoid using their own money, and move through care with less friction. Simple for the member. Complex behind the scenes. This is where frontier transformation becomes real. It requires insurers to connect insurance, payments, healthcare, data protection, regulation, technology partners, and human expertise into one coherent journey. And Xavier was candid about the lesson: insurers are not payment platforms. They are ecosystem orchestrators. That distinction matters. The future of insurance will not be built by companies trying to own every capability. It will be shaped by leaders who know what to build, what to partner for, and how to simplify the journey for the people they serve. From payer to partner. From claims process to care journey. From product distribution to medical concierge. That is the shift. Thank you, Xavier, for joining me on Scouting for Growth and for sharing such a pragmatic view of how AXA is rethinking international health insurance across 200 countries. What is the “four-wheel luggage” moment your organization still needs to create for its customers? Podcast links below #HealthInsurance #FrontierTransformation #CustomerExperience

I’ve seen many insurers experimenting with AI - but only a few are realizing transformational value. In our latest report, which I had the pleasure of co-authoring, we examine what truly separates AI leaders from the rest. The results were striking: 📈 Over the past five years, insurers leading in AI achieved 6.1x the total shareholder returns of AI laggards. This is more than a technology advantage, it’s a strategic imperative. So, what sets the AI leaders apart? ✅ They take an enterprise-wide approach to AI—not isolated pilots. ✅ They rewire their core processes: underwriting, claims, distribution, and customer service. ✅ They build a modern capabilities stack—scalable infrastructure, high-quality data, and reusable components. ✅ They invest just as much in change management and workforce enablement as they do in technology. ✅ They view gen AI and agentic AI not just as tools, but as differentiators capable of reasoning, empathy, and creativity. AI is becoming the defining force of competitive advantage in insurance, and the gap between leaders and laggards is widening fast. 📘 Explore our perspective here: https://lnkd.in/ekaV_Jyy #Insurance #AILeadership #GenAI #DigitalTransformation #FutureOfInsurance #AgenticAI #InsureTech #McKinseyInsight #FinancialServices

The industry with 6x the TSR vs. the average 2–3× is… insurance. Insurers that lead with AI aren’t just keeping pace, they’re creating 6× the shareholder returns of laggards. The reason? Making bold choices about where to build, buy, or partner ... and rewiring the business, not just dabbling in pilots. Often cast as risk-averse, insurance shows the opposite here: when insurers center strategy with AI, the rewards are exponential. Leaders have created six times the shareholder returns of laggards over the past five years. My colleague Tanguy Catlin has spent years guiding insurance and financial-services clients through transformation. He and our insurance colleagues highlight that, to win, insurers can double down on four of the six rewired components: (1) Business-led roadmap: tie AI directly to value creation, not tech curiosity. (2) Operating model at scale: embed AI into how the business runs, not just in pilots. (3) Flexible AI stack: technology designed for speed, modularity, and distributed innovation. (4) Adoption & change management: because even the best AI fails without human adoption. Here’s what outcomes look like for insurers who get serious: domain-level transformation has already yielded a 10-20% lift in new agent success and sales conversion, 10-15% growth in premiums, 20-40% lower cost to onboard customers, and 3-5% improvement in claims accuracy. These aren’t incremental tweaks, they move core levers that impact the top and bottom line. Full article linked below and authored by Nick Milinkovich, Sid Kamath, Tanguy Catlin, and Violet Chung, with Pranav Jain and Ramzi Elias. https://lnkd.in/df2GXpuq

But what if insurance worked more like Netflix? Netflix tracks your viewing behavior and adapts recommendations instantly. If insurance products adapting the same way, premiums adjusting dynamically to fitness levels, coverage expanding with life stages, benefits rebalancing as goals evolve. McKinsey estimates AI-led personalization could lift insurer revenues by 10–15%, while lowering claims costs through early risk detection. And The technology already exists. Wearables generate 250+ daily data points per user around heart rate, sleep, activity. PwC reports 63% of consumers are willing to share health data if it results in cheaper or more personalized premiums. And Personlaized premiums is not a distant reality. It can be achieved by: 𝟏. 𝐈𝐧𝐭𝐞𝐫𝐨𝐩𝐞𝐫𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 that allow secure ingestion of health and behavioral data at scale. 𝟐. 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐬𝐚𝐧𝐝𝐛𝐨𝐱𝐞𝐬 that encourage innovation while protecting privacy. 𝟑. 𝐀𝐈 𝐞𝐱𝐩𝐥𝐚𝐢𝐧𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 to ensure transparent pricing and avoid hidden bias. 𝟒. 𝐄𝐜𝐨𝐬𝐲𝐬��𝐞𝐦 𝐩𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩𝐬 with health-tech, fintech, and wellness players to broaden value delivery. Insurance is likely evolve from a once-in-a-decade purchase to a living product. #DigitalIndia #Fintech #AI #technology #Fintech #AI #technology

The insurance industry is at a crossroads. It’s no longer just about selling policies anymore , it’s about delivering experiences. Today’s customers expect a better experience and are being trained by some of the best in the business , brands like Starbucks, Chick-Fil-A, and Amazon. Here’s the good news: established Agencies already have the advantage of trust, reputation, and brand strength. The opportunity now is to bring that brand promise to life with better experiences. What I’ve learned through the years : - Evolve, don’t revolutionize. A brand doesn’t need a full overhaul to stay relevant. Thoughtful, incremental changes allow your audience to adapt with you while reinforcing trust. -Refresh your visual identity strategically. Modernizing logos, colors, and typography can signal progress without abandoning the heritage that customers already know and love. ( we’ve seen this very recently with a very popular brand) - Leverage new technology wisely. AI-powered tools, updated websites, and digital service channels can enhance not replace the personal connection your brand is known for. -Blend tradition with innovation. The best brands harmonize the old and the new. Think of Ford introducing EVs while staying true to its identity of building dependable vehicles. Ultimately, the next generation of insurance will be defined by those who act now. Strong brands that embrace change, modernize their claims process, and keep the customer at the center will lead the way forward.

Believe it or not, one conversation is still tickling the back of my brain from November at Connected Claims USA... We're facing a critical inflection point in insurance: a mass exodus of expertise just as our workforce becomes more distributed than ever. Those invaluable "coffee machine moments" where junior adjusters learned from veterans? The overheard conversations that taught us unwritten rules of claims handling? They're vanishing in our hybrid world. But here's what excites me: innovative carriers aren't choosing between remote work and knowledge transfer – they're reimagining both. I'm seeing: - AI-powered mentorship platforms matching veterans with newcomers across time zones - Virtual reality simulations recreating complex claims scenarios - Digital "listening posts" where institutional knowledge is captured and shared - Hybrid collaboration spaces designed specifically for knowledge transfer The most successful organizations understand that technology alone isn't the answer. It's about creating intentional moments for connection, whether virtual or physical. From my conversations with industry leaders, the winners this year won't be those who simply throw technology at the problem. Success will come to organizations that thoughtfully design environments that preserve our industry's collaborative essence while embracing modern workforce demands. What innovative approaches is your organization using to bridge the knowledge-sharing gap in this evolving landscape? Share your wins (or challenges) below! #InsuranceInnovation #KnowledgeTransfer #InsurTech