The AI in Business Podcast · Daniel Faggella

Translating AI Models into Business Value From Governance to Deployment - Thomas Holmes of Akur8

·27 min·2 clips
Why a 200% rate increase from an AI model could destroy an insurer's reputation and retention.
Thomas Holmes discusses how insurers can move from AI experimentation to enterprise deployment by creating translation layers between actuarial, IT, and leadership teams. He emphasizes transparent models for high-consequence decisions, opinionated frameworks for governance, and a single source of truth to reduce errors.

As heard by us

AI in insurance matters most when governance, explainability, and ROI have to hold up together.

The episode treats AI in insurance as a practical rollout problem, not a shiny demo. Thomas Holmes keeps it tied to measurable ROI, the translation gap between actuarial IT and leadership, a single source of truth, and audit trails that make explainability easier to defend.

Read the full review in PlayNext →

Why you'd press play

You need a cleaner path from AI pilots to enterprise deployment in insurance.

Read the full recommendation in PlayNext →
Listen to the show on