Business decisions
Establishing who may authorize, challenge, or stop the decisions that bind risk and create obligations.
My work has taken me from building analytics capabilities inside insurers and reinsurers to advising P&C executives on the decisions those systems ultimately change. The central question is not what AI can recommend. It is who remains accountable for the action taken.
President, Belhe Analytics Advisory
Dr. Upendra Belhe has served in chief analytics and data leadership at Gen Re and as Senior Vice President and Chief Analytics Technology Officer at Chubb. His earlier work at The Hartford and PwC adds experience across insurance operations, applied analytics, and executive advisory. That background informs how he approaches underwriting, claims, and enterprise decision-making.
He holds a Ph.D. in Operations Research from the University of Iowa and is named on three patents from applied analytics work. He writes for P&C leaders on decision authority, insurance economics, and AI governance, and is preparing his forthcoming book, The Accountable P&C Executive: Decision Ownership and Defensible AI.
His emphasis is on the institutional disciplines that make consequential decisions defensible: named business ownership, delegated authority, evidence retained at execution, and the ability to intervene when emerging experience challenges established assumptions.
An insurer can validate a model, monitor a workflow, and obtain a human approval—yet still be unable to establish who possessed the authority, evidence, or ability to challenge the decision when it mattered.
Governance is tested at execution, not in the slide deck.

Models are reviewed. Decisions are judged.
Establishing who may authorize, challenge, or stop the decisions that bind risk and create obligations.
Linking individual underwriting and claims decisions to their cumulative portfolio consequences.
Giving leaders a credible route to revise assumptions and decision rules before ultimate results are fully visible.