Definition
An AI governance diagnostic is a fixed-scope assessment that identifies gaps in how an organisation governs its AI systems, mapped to named regulatory obligations. It differs from an audit in that it is not exhaustive, and it differs from consulting in that it is not ongoing. It is a single engagement producing a single report.
What it covers
A governance diagnostic typically examines who is accountable for an AI system's decisions, what oversight exists, where autonomy boundaries sit, and how data moves through the system. The output identifies specific gaps rather than a general maturity level.
Why organisations use one
Regulators and insurers increasingly ask for documented AI governance directly, not as a hypothetical. A diagnostic gives an organisation a defensible answer before that question is asked in a supervision visit, a renewal conversation, or a claim.
How CLEARANCE structures it
CLEARANCE's diagnostic takes a ten-minute structured intake and evaluates it against a fixed library of 25 governance gaps across five sector verticals. The result is a four-section report: executive summary, detailed findings, recommended actions, and an evidence appendix.