MiddlebrookData & AI Governance← Reg-to-Control Mapper

AI Governance Toolkit · Frame

Control Framework Generator

Tell us your institution, your AI use cases, and the frameworks you answer to — get a tailored, de-duplicated control framework with policy language, RACI, and evidence requirements, scoped to you.

1 Choose your scope

2 Institution type

3 AI use cases (select any that apply)

4 Frameworks in scope

Select all Financial stack
How to use the Framework Generator
  1. Choose your scope — Data & AI, AI Reporting only, or Data Governance only.
  2. Pick your institution type (community, regional, or large) — this scales how many controls apply and how deep.
  3. Select your AI use cases (credit decisioning, fraud, BSA/AML, etc.) — each pulls in the controls examiners expect for that use.
  4. Select the frameworks in scope, then click Generate framework.
  5. Read your tailored framework — every control shows a “why included” badge (Baseline, Tier, Framework, or Use case) so you can defend the scope, plus draft policy language, RACI, evidence requirements, and the mappings to your frameworks.
  6. Export to CSV, JSON, or Markdown.

The data-governance controls (DG-) lead the list as the foundation; the AI-governance controls (AIG-) sit on top. Flip to “AI Reporting only” if your data governance is already mature.

From framework to program

This is the blueprint. We build it with you.

A generated framework is the start. Operationalizing the controls, writing the policies, and proving them to an examiner is the engagement.

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