Stop Automating Broken Workflows: Insurers Need a New Operating Model, Not Another Tool | Patrick Meehan, Dun & Bradstreet

What if the biggest opportunity for insurance AI isn't better automation, but better data?

In this episode of Making Risk Flow, host Jake Harding sits down with Patrick Meehan, Senior Solution Director at Dun & Bradstreet UK – Insurance Services, to explore why trusted business data, entity resolution, and continuous monitoring are becoming critical to the future of commercial insurance. They discuss why insurers need to move beyond fragmented, policy-by-policy snapshots toward a shared view of the customer across underwriting, claims, compliance, and renewal. 

Patrick also explores the hidden concentration risks within seemingly diversified portfolios, the challenges of building and maintaining data infrastructure at scale, and why insurers should start with measurable business problems rather than massive enterprise data projects. Tune in to discover how connected data can reduce duplication, improve risk visibility, and help insurers build workflows designed for AI.

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Our previous guests include: Bronek Masojada of PPL, Craig Knightly of Inigo, Andrew Horton of QBE Insurance, Simon McGinn of Allianz, Stephane Flaquet of Hiscox, Matthew Grant of InsTech, Paul Brand of Convex, Paolo Cuomo of Gallagher Re, and Thierry Daucourt of AXA.

Check out the three most downloaded episodes:

• The Five Pillars of Data Analytics Strategy in Insurance | Craig Knightly, Inigo
• 20 Years as CEO of Hiscox: Personal Reflections and the Evolution of PPL | Bronek Masojada
• Implementing ESG in the Insurance and Underwriting Space | Simon Tighe, Chaucer, and Paul McCarney, Moody's