The AI Governance Toolkit
Three free tools on one primary-source-verified control library — unify your frameworks, tailor a control framework to your institution, and build the evidence to prove it to an examiner. The data-governance foundation and the AI layer, together.
Pick your frameworks — SR 11-7, NIST AI RMF, ISO 42001, EU AI Act, SOX, fair lending, DAMA-DMBOK — and get one de-duplicated control set, mapped section-by-section.
Map your frameworks → 2Choose your institution type and AI use cases, and generate a tailored control framework with policy language, RACI, and evidence requirements — scoped to you.
Generate your framework → 3Turn the framework into an audit-ready workbook — the evidence to collect per control, owners, a live readiness score, and an examiner-ready narrative.
Build your workbook →Map → Frame → Prove. One control library runs all three — choose Data & AI, AI Reporting only, or Data Governance only depending on what your institution already has in place.
Every framework citation was checked against the primary source — NIST, the EU AI Act, the Fed/OCC, CFPB, DAMA — not reconstructed from memory.
The data-governance foundation (lineage, metadata, glossary, MDM, stewardship) under the AI layer — the combination no incumbent tool offers.
Scoped to community, regional, and large institutions, and to the AI that touches your reporting and decisions. Prescriptive, not generic.
From toolkit to program
Run the toolkit, then book a short call to turn the output into a governed, audit-ready program — built with you.
Book a working session