AI Governance Exposure Scan

Know where your governance posture fails before scrutiny arrives.

A fixed-scope diagnostic for organizations deploying AI in consequential workflows. We identify where your runtime control is absent, partial, or undefendable — and produce findings your board, legal team, or risk committee can act on.

Fixed scope Fixed fee Executive-ready output

Request Exposure Scan How ZDG works

What the scan produces //

Findings your board can read. Gaps your engineers can close.

No open-ended engagement. No framework deliverable. One defined output: where your runtime control is absent, partial, or undefendable.

Output

Executive findings report

Identifies governance gaps by workflow surface. Prioritized by risk exposure, not by product category.

Scope

Bounded. Defined. Repeatable.

Fixed fee. Fixed deliverable. No scope creep. Runs against your current AI deployment, not a hypothetical architecture.

Assessment Surface

What the scan examines

Where the workflow crosses from intent into execution
Which actions have runtime enforcement versus advisory guidance only
Where evidence is captured versus reconstructed after the fact
Where operator approval is explicit versus implied by inaction
Which policy changes do not change actual system behavior
Where behavioral signals are absent during execution

Assessment Output

What the findings deliver

A ranked list of governance gaps by risk surface
Clear identification of where AFW, AIS, ACP, and BB/FR belong
A defensible answer to "what is your AI governance posture"
Findings formatted for board, legal, and risk committee review

See the full platform Review proof of control

Entry Point

Start with a scan. Move to runtime control.

The scan gives you the map. The platform gives you the infrastructure. The proof story shows you what controlled execution looks like in production.

Request Exposure Scan Open Proof of Control