The OutputAssurance control architecture

One accountable path from AI output to action.

OutputAssurance adds a governed decision layer around the AI systems an organization already uses. It separates automated analysis from accountable authority and preserves both.

See it in your workflow

Register the decision

Capture the intended use, responsible organization, AI output, source evidence, and applicable control profile.

Run verification

Evaluate grounding, consistency, completeness, and organization-specific rules against the approved evidence set.

Assign and route risk

Translate check results into a clear risk band and route material exceptions to the right accountable reviewer.

Record human judgment

Capture approval, rejection, remediation, rationale, and authority without obscuring the underlying automated analysis.

Preserve the evidence record

Lock the relevant inputs, versions, checks, actions, and final disposition into a durable decision history.

DESIGNED FOR CONTROL

Automation analyzes.
People remain accountable.

Control profiles

Define different verification and approval requirements by use case, consequence, and organization.

Role-based authority

Keep review and override actions limited to the people authorized to make them.

Immutable evidence

Preserve the exact record associated with a report, approved decision, or policy action.

A practical implementation

Start narrow. Learn quickly. Expand with evidence.

Choose one repeatable, consequential workflow

Define approved evidence and review thresholds

Connect through the application or API

Measure exceptions, review time, and control performance