AI AND MODEL GOVERNANCE FOR REGULATED INDUSTRIES

Record a Control?
Every GRC tool does.

Stop an Agent?
Only AUDITROL does.

Auditrol connects policies, controls, data, and owners into one execution layer, so agents reach production and models stay defensible.

EXECUTION LOOP

Risk is not managed until you connect, enforce and prove.

Execution loop

See how the execution layer works →

DOMAINS

Start with one. It is the same layer underneath.

Domains
AI Risk
Model Risk
Data Risk
Policy

AI risk in detail→

TRUST MODEL

We use AI to do governance work. So here is ours.

The trust starts with us.



Human review is a gate, not a setting

No AI-generated finding becomes evidence without a named person approving it. The approval is part of the audit record, with the citation and the confidence score attached.

Your data stays yours

Single-tenant isolation. Not pooled with another institution's, and not used to train shared models. SOC 2 Type II.

Read the full governance model→



Answers carry their sources

Every answer returns a citation and a confidence score, so a reviewer can check the source rather than trust the summary.

Every step is audit logged

What the system read, what it inferred, what it acted on, and who approved it, exportable for an examiner or an internal audit request.