AI governance for regulated finance
Banks, lenders, and insurers are racing to put AI on their reporting. I make sure the data underneath is trustworthy — and the controls hold up to a regulator.
The stakes just changed
A wrong number used to get caught by an analyst. AI produces a thousand confident, wrong answers before lunch — instantly, at scale, with no one in the loop.
Ungoverned data no longer makes one bad report — it makes thousands, silently and at scale.
AI will invent a metric definition or blend incompatible sources and present it as fact. Without governance, no one can tell.
EU AI Act, NIST AI RMF, ISO 42001, SOX — automated outputs must be explainable, traceable, and auditable. "The AI said so" is not a defense.
The engagement
A fixed-fee diagnostic that tells you whether your data is trustworthy enough to put AI on your reporting — and exactly what to fix first.
Benchmarked against NIST AI RMF, ISO 42001, and the EU AI Act — and mapped to the SOX and model-risk controls your regulators already expect.
See where you stand — freeFree · 4 minutes · nothing sent anywhere
Rate your organization across the eight disciplines that make AI-driven reporting trustworthy, and get your maturity level with prioritized fixes — instantly.
Take the readiness assessmentFrom free check to full clarity
The self-assessment above is the 4-minute version. The full engagement is expert-led, on your real data — and ends with a board-ready answer in 2–4 weeks.
Confirm which reports are in scope and who to interview. ~½ day.
Your metrics, lineage, and data quality; data, BI, and finance stakeholders. Wk 1–2.
Benchmarked to NIST AI RMF, ISO 42001, the EU AI Act — and your SOX controls. Wk 2–3.
Findings + recommendations, presented to leadership. Wk 3–4.
You walk away with
A board-ready readiness scorecard · a prioritized risk register (every gap, rated, in plain English) · a remediation roadmap (quick wins vs. strategic) · regulated-reporting risk flags. Fixed-fee, 2–4 weeks.
Request a full assessmentWhy Middlebrook
AI governance needs two skill sets that almost never live in one person — deep regulated-industry governance, and real hands-on AI. I have both.
Insights
Start with the master class — the full blueprint for governing data so AI reporting is accurate, explainable, and compliant.
The Why, What, Where, How — plus how AI actually connects to your data, and where the guardrails go.
Read it →Seven concrete tells your data foundation isn't ready — and what to do about each.
Read it →The #1 reason AI reporting goes wrong — and the one control that fixes most of it.
Read it →Let's talk
Whether you're deploying AI on your reporting now or getting ready to — start with a conversation.
Book a call