In this HFS interview, Genpact’s Yasir Andrabi and Macdonald Okolie discuss why AI has so far fallen short of expectations in insurance—and what needs to change. The conversation explores how agentic AI, data-driven underwriting, dynamic risk prioritization, and the Genpact Insurance Policy Suite are helping insurers move beyond basic workflow automation to fundamentally rethink underwriting judgment, capacity management, and underwriting economics.
In the discussion, Yasir Andrabi, Agentic AI Leader for Insurance, and Macdonald Okolie, Global Head of Insurance Underwriting Practice at Genpact, outline a clear reason insurance AI hasn’t moved the needle: most insurers have digitized underwriting workflows without addressing deeper issues around data quality and decision-making.
Reviewing the Genpact Insurance Policy Suite, the conversation focuses on shifting underwriting from speed to judgment—using agentic, data-driven prioritization to direct limited underwriting capacity toward the risks that matter most, based on profitability, risk-adjusted returns, and likelihood of binding.
By embedding third-party and exposure data while maintaining clear human-in-the-loop controls for accountability and regulatory compliance, Yasir and Don frame underwriting AI not as another layer of automation, but as a structural lever for changing the economics of underwriting.