Keep risk selection aligned with approved rules and appetite.
OutputAssurance for underwriting and claims automation
Put evidence behind every risk decision.
Apply consistent controls to AI-assisted underwriting, claims, and policy operations while preserving human authority over material exceptions.
Evidence verification Human review gates Durable audit history
RISK 2026-041CONTROLLED
AI-ASSISTED UNDERWRITINGCommercial risk assessment
92/ 100
OUTPUTASSURANCE STATUSApproved with oversight
Material findings traced to approved evidence.
Evidence groundingPassed
Policy controlsPassed
Underwriter approvalRecorded
Built for the questions leadership is already asking
Was the risk evidence complete?Why was an exception approved?Is the policy tied to the reviewed decision?
01 / THE LEADERSHIP CASE
AI adoption is an accountability decision.
Policy explains what should happen. OutputAssurance records what actually happened at the point where evidence, automation, and human judgment meet.
Surface evidence gaps and contradictory findings before disposition.
Document where automation stopped and accountable judgment began.
Create structured records that support monitoring and refinement.
02 / THE CONTROL MODEL
A governed path from AI output to accountable action.
OutputAssurance sits between generation and consequential use. It does not replace expert judgment. It makes that judgment visible, consistent, and reviewable.
01
Verify the risk file
Check inputs and conclusions against evidence and underwriting rules.
02
Escalate outside appetite
Route uncertainty and material exceptions to authorized underwriters.
03
Bind proof to outcome
Connect the reviewed evidence record to the quote, policy, or claim action.
AI outputVerificationRisk bandExpert reviewEvidence record
What changes for the organization
Control without freezing innovation.
Give teams room to adopt useful tools inside a leadership-approved framework.
More consistent underwriting and claims review
Visible authority for exceptions
Decision evidence linked to policy operations
A stronger foundation for automation at scale
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Automation can accelerate insurance decisions. OutputAssurance preserves the evidence and judgment that make those decisions defensible.
THE OUTPUTASSURANCE PRINCIPLE
COMMON STARTING POINTS
Commercial underwritingClaims reviewPolicy servicingFraud triage
03 / A PRACTICAL START
Begin with one workflow.
Prove the control.
A focused showing can map OutputAssurance to a selected workflow, its evidence, and the decisions that require accountable human review.
1 Select a consequential, repeatable use case2 Define evidence and review thresholds3 See the complete decision record in OutputAssurance
Request a showing