WHAT ORGANIZATIONS SHOULD LOOK FOR IN AN AI GOVERNANCE ADVISOR

The AI governance advisory market is growing fast — and so is the noise. Every major consulting firm has launched an AI practice. Technology vendors are rebranding their sales teams as governance advisors. And a wave of new entrants is offering AI governance frameworks that look impressive on a slide deck but don't hold up under regulatory scrutiny.

If your organization is evaluating AI governance advisors, here's what actually matters.

1. They Understand Both AI and Governance — Not Just One

This sounds obvious, but it's the most common failure point. Many AI consultants have deep technical expertise but limited governance experience. They can tell you how a large language model works but not how to build an accountability structure around it. Conversely, many governance consultants understand policy and compliance but can't evaluate AI system risk at a technical level.

The right AI governance advisor sits at the intersection. They can read a model card, evaluate a vendor's AI risk disclosure, and translate that into policy language that your legal team and board can act on.

2. They Have Regulatory Depth — Not Just Framework Familiarity

Every AI governance advisor will mention NIST AI RMF, ISO 42001, and OMB AI policy. That's table stakes. What separates a capable advisor from a credible one is regulatory depth — the ability to map your specific use cases to specific regulatory requirements and explain the gaps.

• →Can they explain the difference between OMB M-24-10 and EO 14110 requirements?
• →Do they understand how FISMA and AI RMF interact for federal systems?
• →Can they assess your AI vendor contracts against emerging AI liability standards?
• →Do they know the difference between AI governance requirements for high-risk vs. limited-risk AI systems under the EU AI Act?

3. They Build — They Don't Just Advise

Advisory without deliverables is expensive conversation. The right AI governance advisor doesn't just tell you what to do — they build the governance infrastructure with you. That means policies, frameworks, risk registers, board briefing decks, and vendor assessment tools that your organization can actually use.

"If your AI governance advisor's primary deliverable is a PowerPoint presentation, find a different advisor."

4. They Have Federal or Regulated Industry Credentials

AI governance requirements are most stringent in federal, defense, healthcare, and financial services environments. If your organization operates in any of these sectors, your advisor needs to have direct experience with the regulatory frameworks that govern you — not just general AI governance knowledge.

For federal buyers, this means advisors with direct DoD, civilian agency, or GovCon experience. For healthcare, it means advisors who understand HIPAA's intersection with AI decision-making. For financial services, it means advisors who can navigate OCC, CFPB, and SEC guidance on AI use.

5. They're Honest About What They Don't Know

AI governance is a rapidly evolving field. Regulations are changing. Standards are being updated. New guidance is being issued faster than most organizations can absorb it. The right advisor is honest about uncertainty — they don't pretend to have definitive answers to questions that the regulatory community is still working through.

If an advisor tells you they have a complete, fully compliant AI governance framework ready to deploy — without asking a single question about your specific AI systems, use cases, or risk environment — walk away.

At DLSS, we've built our AI governance advisory practice on 28+ years of federal cybersecurity and compliance experience. We don't sell frameworks — we build governance programs that work in your specific environment, with your specific AI systems, under your specific regulatory requirements.