Human oversight is not enough.

The AI Decision Authority Review tests whether a named owner can alter the outcome.

Before AI Scales

Before AI Goes Live

Test intervention before the decision becomes relied on in practice.

As Reliance Grows

Check authority before scale makes weak controls harder to correct.

When Control Blurs

Find where accountability and usable authority have drifted apart.

One AI-supported decision. Ten days. Up to four stakeholder perspectives.

– 01\.

Decision
Trace who can approve, change, pause or stop the outcome.

– 02\.

Evidence
See what people receive, trust and need to act with confidence.

– 03\.

Challenge
Test what happens when the AI output is disputed or believed wrong.

– 04\.

Escalation
Find whether concerns can reach someone with authority in time.

Authority Map

A clear view of who can act, where and under what conditions.

Control Gaps

Where authority is constrained, fragmented, delayed or unclear.

Practical Actions

Focused changes to strengthen the decision before reliance grows.

This tests whether governance remains usable when a real decision becomes difficult.