Future of insurance with AI and computer vision

The Insurance Industry Is at an Inflection Point – and AI Is Leading the Charge From outdated systems and unstructured data to rising customer expectations and talent shortages — insurers are under immense pressure. But with Generative AI, there’s finally a real way out. What’s Changing? 1. 60% of operational costs are still manual – AI can slash that. 2. 80% of data is untapped – GenAI reads, learns, and leverages it. 3. Only 18% of insurers currently use AI – but that’s about to change. Key Impact Areas: ✅ Underwriting: 90% data accuracy + new product models. ✅ Claims: 70% of simple claims can be auto-resolved + up to 50% faster processing ✅ Customer Experience: 48% higher NPS, 85% faster resolutions ✅ Fraud Detection: AI flags 75% of fraudulent claims in real time ✅ Sales & Distribution: AI agents, personalized funnels, smarter upsells ✅ Policy Admin: Real-time compliance, automated changes, predictive lapse alerts ✅ New Products: From behavior-based insurance to once “uninsurable” tech like drones & autonomy It’s not just about automating workflows. It’s about rethinking the very DNA of insurance using AI-first foundations. And those who don’t adapt — risk becoming obsolete. Whether you're transforming an incumbent or building the next vertical AI unicorn — the time is now.

Imagine filing an insurance claim and having it resolved in minutes—not weeks. That’s not science fiction; it’s the promise of AI in claims transformation. Over the next decade, we’re going to see a radical shift in how claims are handled, and it’s all thanks to AI-driven innovation. Here’s the kicker: AI won’t just make the process faster—it will make it smarter. Think about this: today, claims adjusters sift through mountains of paperwork, phone calls, and emails to process a claim. It’s tedious, time-consuming, and often frustrating for the customer. Now, picture this instead: AI scanning photos of a damaged car and generating an estimate for repairs in seconds. Natural language processing reading and analyzing claims reports to flag inconsistencies, reducing fraud. Chatbots walking customers through every step of the claims journey, ensuring no question is left unanswered. What does this mean for the industry? Claims professionals will spend less time on manual tasks and more time focusing on complex cases that need a human touch. Insurance carriers will reduce costs and improve accuracy, leading to better customer experiences. But this transformation isn’t just about technology; it’s about trust. AI will only work if customers believe in its fairness and accuracy. Insurers will need to be transparent—showing customers not just what decisions were made, but how and why AI made them. The next decade will redefine claims as we know it. The question is, are we ready to embrace this future? What’s your take—what excites or concerns you most about AI in claims?

Here's my 2024 LinkedIn Rewind, by Coauthor.studio: 2024 marked a pivotal moment for AI in insurance - moving from theoretical discussions to practical implementation. The launch of the AI Act, major strategic partnerships like AXA-Mistral AI, and real productivity gains of 38% in insurance operations showed that AI's impact is now measurable and meaningful. Through 85+ episodes of "Inno and Tech" podcast on Bretagne5 and extensive conference engagements, three key transformations emerged: 🔹 The integration of AI moved from pilot projects to strategic implementation, with major insurers showing clear productivity gains while carefully navigating governance requirements 🔹 Large language models evolved from general tools to specialized insurance applications, particularly in underwriting, claims processing, and customer service 🔹 The focus shifted from pure automation to augmented intelligence, with human expertise remaining central to decision-making Most impactful posts from 2024: "La pyramide des salaires en France" Data-driven analysis of salary distribution providing valuable market insights https://lnkd.in/es9nbjZy "Breaking news // C'est officiel, le texte de l'IA Act" Breaking down the EU's landmark AI regulation and implementation timeline https://lnkd.in/eBWUUAXh "Joue-la comme Ikea!" Analysis of strategic partnerships reshaping insurance through AI https://lnkd.in/eBkqaHU4 Looking ahead: 2025 will be shaped by the practical implementation of the AI Act, evolving partnerships between traditional insurers and AI companies, and the continued focus on responsible innovation. The Paris AI Summit in February will be particularly significant for setting the global direction of AI governance. To everyone working to thoughtfully integrate AI into insurance: the real work of balancing innovation with responsibility is just beginning. -- Get your 2024 LinkedIn Rewind at https://lnkd.in/eWcyDN3E

The insurance industry has been promising revolutionary change since the early 2010s ⌛ Your smart home would know when a pipe was about to burst and shut off the water before you knew there was a problem. As you locked the front door, your insurance would seamlessly shift from home to motor, adjusting your premium in real time based on road conditions, your driving history, and the weather. Every conference presentation showed the same timeline: "3-5 years away." 2015 came and went. Then 2020. Now we're halfway through 2025, the "blue sky thinking" sessions have fizzled out, and the industry has learned to be more cautious with timelines. But the fundamental challenge remains: we're still not delivering the transformation the industry keeps promising. What's different this time? AI has reached the capability threshold needed to handle insurance's complex, unstructured data reality. 👉 5 insurance AI applications that I'm genuinely excited about: ↳ End-to-end claims automation - you crash at 3am, AI handles everything overnight, you wake up with repairs booked and money transferred ↳ Intelligent fraud detection - AI spots fake damage photos, synthetic identities, and coordinated fraud rings operating across multiple insurers ↳ AI broker assistants - AI agents that simultaneously negotiate with multiple insurers, optimising your renewal terms automatically ↳ Cross-carrier fraud networks - AI systems that share intelligence across the entire industry ↳ Zero-friction underwriting - AI pulls from hundreds of data sources to assess risk instantly without you filling out anything The reality today? Only 11% of UK insurers report successful AI outcomes. Over 50% of pilots stall because of data quality issues. The winners by 2030 won't be the companies with the most cutting-edge AI - they'll be the ones who make it work consistently. The gap between promise and reality is still enormous. But for the first time in years, I'm genuinely optimistic we might finally start to close it. Are you seeing real AI progress in your industry, or is it still mostly hype? 👇

Proud to finally publish this paper after months of work 💥 This paper presents a clear, executive-level case for why video recognition has evolved from a pilot to a core capability across P&C. It demonstrates how cameras serve as versatile sensors that convert routine footage into real-time, auditable signals, preventing loss, sharpening pricing, and compressing claims cycles   Two case studies illustrate the argument from theory to P&L: 🔹 The Hartford’s worker-safety program utilizes computer vision on shop-floor cameras to detect ergonomic risks, powered-equipment hazards, blocked egress, and PPE gaps, then converts these detections into targeted fixes and coaching. Result: fewer risky events, faster learning loops, and measurable injury reduction 🔹 Tokio Marine’s Drive Agent Personal brings dashcams, sensors, and live support to personal auto: instant crash evidence, quicker help, behavior feedback, and AI-assisted fault assessment. The payoff lands on loss ratio, retention, and customer experience The near future is already visible: multi-sensor IoT fusion, searchable video with visual-language models, self-supervised learning that lowers data costs, and decisioning that closes the loop from detection to action For the C-suite, the message is practical and urgent: start where loss concentrates, design for the frontline, integrate in the daily processes, be ready for a multi-year commitment to scale If you believe connect & protect is the future of growth model, this is not another innovation theather, it's a playbook! Read it to see how a “pair of eyes” added to your core insurance processes can make your policyholders, deliver fairer and faster claims, and generate a better combined ratio #iotinsobs