Only 18% of banks say they're confident they'd pass an AI-governance audit. This tool assembles the answer to the questions an examiner opens with — where is AI used, who owns it, how is risk classified, what controls are in place — straight from your browser-local AI register.
You get a regulator-friendly evidence package: model and use-case inventory, ownership, risk classification, control coverage, and an honest list of the gaps still open for exam-readiness. Export to PDF and Markdown.
This is a readiness aid, not an audit. It maps your register to the NIST AI RMF and SR 11-7 / SR 26-2 model-risk guidance and flags where records are incomplete. It is not a certification, a model validation, legal advice, or a guarantee of passing an examination. DSE prepares programs for audit and does not certify or guarantee any examination outcome. Nothing you enter is uploaded.
The pack is assembled from the shared AI register you built in the AI Inventory & Risk-Tiering Wizard. Add a name for the header if you like, then generate — everything renders below and exports to PDF or Markdown.
Tiers derive from the Inventory & Risk-Tiering Wizard's transparent rubric (materiality, data sensitivity, deployment, autonomy). They are structured heuristics, not codified regulatory tiers.
Frameworks referenced: NIST AI RMF 1.0 (Govern, Map, Measure, Manage); SR 11-7 and its April 2026 successor SR 26-2 for model-risk management. Generative and agentic AI fall outside SR 26-2 model-risk scope and are governed under third-party / vendor risk and the NIST AI RMF. This evidence pack is a readiness aid only — not an audit, certification, model validation, legal advice, or a guarantee of compliance. DSE prepares programs for audit and does not certify or guarantee any examination outcome.
This tool shows where your evidence is thin. When an examiner or a buyer is at the door, a principal pressure-tests the inventory, closes the control gaps against SR 26-2 and the NIST AI RMF, and scopes the readiness work in a 30-minute call.
This tool assembles a regulator-friendly evidence package from the AI inventory you built in your browser and runs structural completeness checks against it, framed around the NIST AI RMF and SR 11-7 / SR 26-2 model-risk guidance. The completeness checks test whether records answer basic examiner questions — not whether a control is designed or operating effectively. It does not perform a model validation, does not provide legal or regulatory advice, and does not certify NIST AI RMF, SR 26-2, or any other compliance.
DSE provides AI governance and compliance readiness consulting. We are not an accredited certification body and do not issue ISO/IEC 42001 certificates or certify EU AI Act or NIST AI RMF compliance. We cannot guarantee passing an audit or avoiding enforcement, and we do not provide legal advice. We work alongside your counsel.