Regulator scrutiny
EU AI Act, sector-specific oversight, financial services compliance, healthcare data governance. What you have to defend versus what you actually have.
AI governance · For boards & regulated enterprises
AI governance consultant.
Best fit when AI governance has to defend to a board, regulator, or buyer in due diligence. Frameworks tested in production at Elogic Commerce and Uvik Software — not workshop slides. Paul surfaces the exposure the team has stopped seeing and forces clarity on what is actually defensible.
When to hire
When AI governance has to defend, not just exist.
Governance retrofitted after deployment is the single most reliable cause of program collapse. Paul is hired before that happens.
M&A diligence exposure
Acquirer due diligence on AI controls, data lineage, model evaluation, and governance maturity. Where deals stall, and how to clear the room.
Board controls & accountability
Who approved the model. Who owns the outcome. Who can stop a bad decision before it ships. The accountability chain, written down.
Vendor & third-party risk
The AI vendors you depend on. Their own governance posture. Where a vendor failure becomes your liability.
Model risk & eval discipline
Pre-deployment evaluation, ongoing drift detection, exception handling, audit trail. The discipline that makes governance reproducible.
Documentation & audit-readiness
If the regulator asks tomorrow how AI decisions are made and reviewed, can leadership produce documented controls in under 48 hours?
How it works
Operator-led governance, not framework theatre.
Map the actual exposure
What AI is in production, what data feeds it, what decisions it makes, what the failure mode looks like. Reality first, framework second.
Challenge the controls
The controls that exist on paper versus the controls that hold up under load. Where the gap is, what closes it, what it costs.
Define accountability
Named owner per system, named approver per change, named escalation path per failure. Governance that survives staff turnover.
Document for defense
The audit pack a regulator, acquirer, or auditor can read in 48 hours and walk away convinced. Built once, maintained quarterly.
Why from the operating side
Frameworks tested in production, not workshop slides.
- AI agents in production inside two operating companies — Elogic Commerce and Uvik Software
- Governance frameworks deployed and stress-tested against client regulators, B2B buyer due diligence, and acquirer audits
- Adobe Imagine Magento Community Engineering Award
- Outcomes validated under The Proof Standard™ — the published five-component measurement protocol
Frequently asked
Common questions about this engagement.
What does an AI governance consultant actually do?
Maps the AI exposure that exists in production, stress-tests the controls against regulator-grade and acquirer-grade scrutiny, defines accountability, and produces audit-ready documentation. The product is the moment-of-defense artifact: a governance posture that holds up when a regulator, auditor, or buyer asks how AI decisions are made and reviewed.
What's the difference between AI governance and AI compliance?
Compliance is the floor — what regulation requires. Governance is the ceiling — what the company actually owns and is accountable for. Compliance asks 'are we legal.' Governance asks 'can we defend every AI decision to a regulator, an acquirer, and the board, in 48 hours, on demand.' Paul focuses on governance; compliance follows from it.
Is this for EU AI Act readiness specifically?
EU AI Act is one regulator. Engagements have also covered financial-services oversight (PRA, MAS), healthcare data governance (HIPAA, GDPR), and acquirer due diligence in M&A. The framework is regulator-agnostic; it adapts to whichever oversight regime the company is exposed to.
How is this different from a Big Four governance engagement?
Big Four governance engagements deliver framework documentation. Paul delivers a defensible governance posture that survives audit, with the assumptions tested against AI actually shipping inside two operating companies he runs. Different output: a working accountability chain, not a 60-page deck.
Can governance be added retrofit to existing AI systems?
Yes, and it's the most common engagement shape. Governance retrofitted after deployment is harder than governance designed in — but it is the operating reality of most enterprises. Paul focuses on closing the highest-exposure gaps first, then progressively hardening the rest.
Discuss this engagement.
Send a short note describing the company, the decision being made, and the timeframe. First call within two business days.
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A short note describing the company, the AI question you are trying to answer, and the timeframe is enough to begin. First call typically within two business days. Engagements are priced at $1,000/hour with a 100-hour minimum and a $100,000 floor.
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