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Building Tomorrow's Insurer

Building Tomorrow's Insurer

Hosted by Nigel Fellowes-Freeman

NewsInterviews guests

Episodes

80

Latest episode

Jun 2026

Language

EN

About the show

Hosted by Kanopi’s Founder and CEO Nigel Fellowes-Freeman, 'Building Tomorrow's Insurer' slices through the complex insurtech landscape. Simple, clear, and forward-thinking – this podcast is your guide to understanding how technology is rewriting the rules of insurance. Each episode brings together industry leaders, innovators, and disruptors for in-depth conversations on how emerging technologies are reshaping the landscape of insurance. Follow us on LinkedIn: https://www.linkedin.com/company/kanopicover/ Follow our YouTube channel: https://www.youtube.com/channel/UC7bBpTJEoJ-oaVm5xaMCigg

Listen to episodes

60 recent
June 10, 2026Episode 4945 min

Ep. 49 | How Agentic AI Will Rebuild Insurance Operations with Kyle Nakatsuji, Founder of ClearCover

Most insurers are asking how to add AI to existing workflows.Kyle Nakatsuji thinks that's the wrong question.In this episode of Building Tomorrow's Insurer, Nigel Fellowes-Freeman sits down with the founder of Clearcover and Dearborn Labs to explore why the first wave of digital transformation in insurance may already be outdated.After spending a decade building one of the world's best-known tech-native insurers, Kyle believes Agentic AI is forcing the industry to rethink everything from claims and underwriting to operating models and core systems.Together they discuss:• Why even modern insurers may need rebuilding for the AI era• The difference between automation and agentic systems• Why many AI initiatives stall between pilot and production• The future of headless insurance platforms• How AI changes the economics of underwriting and claims operations• Whether insurers should build proprietary AI workflows or rely on vendors• Why context, judgement and human relationships still matter• The future of embedded insurance in an AI-native worldIf you're a CEO, CIO, COO, Chief Claims Officer or transformation leader trying to understand what insurance operations could look like over the next five years, this conversation provides a practical look at what's changing now.Topics:Agentic AI in insurance, insurance digital transformation, AI claims automation, insurance operations, insurtech innovation, embedded insurance, AI underwriting, future of insurance technology, Clearcover, Dearborn Labs.

February 24, 20211 min

25 Feb 2021 - Insurance in 60

Your daily dose of insurance and fintech news for 25 February 2021

February 23, 20211 min

24 Feb 2021 - Insurance in 60

Your daily dose of insurance and fintech news for 24 February 2021

March 7, 20211 min

8 Mar 2021 - Insurance in 60

Your daily dose of insurance and fintech news for 8 March 2021

March 8, 20211 min

9 Mar 2021 - Insurance in 60

Your daily dose of insurance and fintech news for 9 March 2021

March 2, 20211 min

3 Mar 2021 - Insurance in 60

Your daily dose of insurance and fintech news for 3 March 2021

March 3, 20211 min

4 Mar 2021 - Insurance in 60

Your daily dose of insurance and fintech news for 4 March 2021

March 9, 20211 min

10 Mar 2021 - Insurance in 60

Your daily dose of insurance and fintech news for 10 March 2021

March 4, 20211 min

5 Mar 2021 - Insurance in 60

Your daily dose of insurance and fintech news for 5 March 2021

February 9, 202646 min

Ep. 44 | Building Tomorrow's Insurer | The 27-Hour Coding Sprint: How Agentic AI is Transforming Insurance Operations with Alex Taylor (QBE)

Are you still trying to figure out if agentic AI is hype or reality? Alex Taylor, Global Head of Emerging Technology at QBE Ventures, cuts through the noise in this no-nonsense conversation about what's actually working in insurance AI - and what's failing spectacularly.Discover why agentic AI isn't just "fancy RPA," how insurers are running shadow mode tests to prove AI can outperform human underwriters, and why the real barrier isn't technology, it's data strategy. Alex shares jaw-dropping examples from software development (27-hour autonomous coding sprints!) and explains how insurers are moving from chatbot failures to genuine operational transformation.Key insights: the difference between vibe coding and provable AI, why observability matters more than accuracy, Microsoft-Allstate's governance playbook, and the one thing every insurance CIO must do in the next 30 days.If you're responsible for AI strategy, digital transformation, or innovation in insurance, this episode delivers the practical framework you've been missing. No vendor pitches. Just real talk about implementation, regulation, partnerships, and what separates AI winners from the FOMO-driven crowd.Timestamps0:00 - Introduction - Alex Taylor & QBE Ventures1:30 - The shift from 'what's possible' to 'what works' in insurance AI2:15 - Why insurers underinvested in technology (and why it made sense)3:45 - The real problems insurers are trying to solve with emerging tech5:00 - Internal pressures: cost, complexity, and competitive speed6:20 - Customer expectations and the value proposition (spoiler: they don't care about AI)7:30 - What actually changed in the last 12-18 months8:30 - Agentic AI explained: beyond classical generative AI9:45 - The critical difference between agentic AI and RPA11:20 - The operating system experiment: 27 hours of autonomous coding13:00 - Inversion of control: humans as engineering managers14:30 - Build vs buy vs partner: how the calculation has changed16:15 - What the ideal tech stack looks like: people, process, tech, governance17:45 - The regulatory complexity and governance requirements18:30 - Snorkel's AI leaderboards and model certification19:45 - Case study: What didn't work (the chatbot mistake 99% made)21:30 - What actually works: agents as employees, not buttons22:15 - Metrics that matter: measuring AI against human baselines23:30 - Shadow mode testing: running parallel systems for 12 months25:00 - Partnership models: how CVCs accelerate experimentation26:30 - QBE's Lighthouse Program: 3-week proof of value27:45 - Cutting through the hype: what's real vs. overstated28:45 - The one thing to do in the next 30 days: know where your data is30:00 - Closing thoughts and where to follow Alex's content

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