Govern the moments where insurance losses happen

Insurance AI does not fail in the abstract. It fails when a claim is settled, a quote is changed, or a customer action is taken without the right controls. KLA puts approval thresholds and runtime lineage exactly where those decisions occur.

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Operational Bottleneck

The workflow pain

Legal and risk teams do not object to automation in principle. They object to money-moving and customer-affecting decisions that cannot be intercepted, reviewed, or explained.

Block

Block recommendations that exceed authority limits or violate policy checkpoints

Review

Review edge cases, large settlements, and sensitive denials with named approvers

Allow

Allow only the approved action and record the full lineage behind it

Governed examples

Claims settlement recommendations above delegated authority limits
Underwriting changes that materially affect pricing or eligibility
Fraud and SIU escalation workflows triggered by AI-generated risk signals

What reviewers ask for

Authority band, policy result, and workflow context attached to the action
Reviewer identity, decision rationale, and exact timestamp
Signed lineage for outbound claim or underwriting action