Featured Speakers:
- Aaditya Jain, Partner, Everest Group
- Sanjib Talukdar, Head of Insurance Advisory, Solutions and Transformation, Sutherland
AI has moved fast in insurance over the past year, but the gap between what AI promises and what insurers can deliver remains wide. Early adopters have shifted from asking where AI fits to asking how work should be redesigned around it. Yet most insurers are still summarizing claims documents and running pilots that never reach production.
In this fireside chat, Aaditya Jain and Sanjib Talukdar discuss why insurance has lagged behind the AI hype, what separates the organizations making real progress, and what the path from isolated agents to an AI-first operating model looks like. They also take questions from the audience on building versus buying capability and keeping it from going obsolete.
Key takeaways:
- Why AI adoption has outpaced changes to workflows and operating models, and what that means for insurers
- How to break down work into deterministic and probabilistic decisions to decide where AI fits and where people stay in the loop
- Why ownership and accountability for AI-driven decisions remain unresolved, and why that matters given the reputational and economic risk
- How to decide between buying, building, or consuming AI capability, and what modernization roadmap vendors should expect insurers to articulate
- Why governance needs to be designed in from the start, not added after pilots
- How aligning business and IT on shared outcome metrics, such as loss and combined ratios, can move AI beyond efficiency gains
Catch Sutherland’s Insurance AI in Action Here.
For details or to talk to a Sutherland expert, contact us here.
