Industries / Insurance
Insurance
Underwriting and claims decisions that depend on data spread across legacy policy systems, a growing pressure to apply AI to pricing and claims, and regulators who will ask how the model was validated.
What Brings Us In
Familiar problems in insurance.
- Underwriting and actuarial teams work from data that doesn't reconcile at the portfolio level.
- A claims AI initiative promises efficiency but no one has defined the guardrails for a wrong call.
- Legacy policy administration systems are the real constraint on every new product idea.
- Governance for model risk exists on paper, ahead of where the actual model inventory is.