Pick the frameworks you answer to. Get one unified, de-duplicated control set that satisfies all of them at once — mapped section-by-section, across the AI lifecycle, with the gaps shown honestly.
FS AI RMF-aligned: the U.S. Treasury's Financial Services AI Risk Management Framework (Feb 2026) is built in as a selectable framework — every control maps to its NIST-aligned Govern / Map / Measure / Manage control objectives (IDs like GV-1.1.1), so your unified set lines up with the framework your examiners are adopting. What it means →
1 · Choose your scope
2 · Select your frameworks
Select allFinancial stack onlyClear
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How to use the Reg-to-Control Mapper
Choose your scope — Data & AI Governance (full), AI Reporting only, or Data Governance only, depending on what your institution already has in place.
Select the frameworks you answer to (or click "Financial stack only"). The tool instantly builds one de-duplicated control set that satisfies all of them at once.
Read the control set — each row is a single control; the X/Y badge shows how many of your selected frameworks it covers. Click any control to see its draft policy language, RACI, evidence, and mappings.
Switch views:Coverage matrix (controls × frameworks), Lifecycle (controls across the AI lifecycle), and Gaps (framework sections not yet covered by a control).
Filter by control category or lifecycle stage to narrow the set.
Export to CSV, JSON, or Markdown to drop into your GRC tool or a deliverable.
The headline stat — e.g. “80% de-duplicated” — is how much redundant work you avoid by governing to one unified control set instead of each framework separately.
Turn this into your program
A mapping is the start. The framework is the work.
This shows the controls. Scoping them to your institution, writing the policies, and proving them to an examiner is the engagement. Let's talk.