01
Verify against evidence
Test outputs against approved source material, rules, and organization-defined checks.
OutputAssurance for consequential AI decisions
Turn AI governance
into evidence.
OutputAssurance verifies AI-assisted decisions, routes material risk to accountable people, and preserves proof of what happened before the organization acted.
Decision-level evidence Human review gates Immutable audit history
DECISION 2026-041CONTROLLED
AI-ASSISTED DECISIONEnterprise risk recommendation
92/ 100
OUTPUTASSURANCE STATUSApproved with oversight
Material findings traced to approved evidence.
Evidence groundingPassed
Policy controlsPassed
Accountable reviewRecorded
Built for the questions leadership is already asking
What evidence supports this?Who approved the exception?Can we reconstruct the decision?
HIGH-CONSEQUENCE INDUSTRIES
One assurance layer.
Industry-specific control.
The control pattern is consistent: verify the evidence, route the risk, and preserve the record. The thresholds, reviewers, and proof adapt to each operating environment.
Law Firms
Give firm leadership a defensible control layer for AI-assisted work: verification, attorney oversight, and an evidence trail for every consequential decision.
Explore LegalHealthcare Organizations
Create a reviewable control layer around AI-assisted clinical, operational, and coverage workflows without slowing responsible innovation.
Explore HealthcareFinancial Services
Govern AI-assisted lending, fraud, advisory, and operations workflows with verification, exception routing, and a durable decision record.
Explore Financial ServicesInsurance Carriers
Apply consistent controls to AI-assisted underwriting, claims, and policy operations while preserving human authority over material exceptions.
Explore InsuranceGovernment & Public Sector
Give agencies a consistent way to verify AI-assisted work, preserve human authority, and produce a transparent record of consequential decisions.
Explore GovernmentTHE OUTPUTASSURANCE CONTROL MODEL
Govern the decision, not just the model.
Policies and inventories matter. OutputAssurance adds the operational proof that a specific output was checked, escalated, approved, and released under the right controls.
02
Route by consequence
Advance low-risk work and send exceptions to the people authorized to decide.
03
Preserve proof
Create a durable record of inputs, checks, versions, approvals, and final action.
AI outputVerificationRisk bandHuman reviewEvidence record
Built for accountable adoption
From policy intent to operating control.
OutputAssurance gives leadership, risk, and operating teams a shared record of how consequential AI-assisted decisions are governed in practice.
Explore the architectureDecision-level controls
Apply verification and review requirements according to the consequence of each use.
Human authority
Route material exceptions to the people authorized to approve, reject, or remediate them.
Durable evidence
Preserve what was reviewed, which controls ran, and why the final decision was allowed.
THE APPLICATION
See the complete decision lifecycle.
Intake, verification, risk scoring, expert review, reporting, and policy operations live in one connected application.