Brooks Analytics & Governance

Operationalizing Responsible AI for modern teams.

Brooks Analytics & Governance helps you stand up practical AI guardrails – simple, defensible, and ready for your executives and regulators.

What I offer

Four focused ways to get AI governance off the whiteboard and into day-to-day practice.

AI Governance Audit

A concise review of how AI is used today and where your highest risks and gaps are.

View 1-page overview

Advisory & Implementation

Ongoing support to turn guidance into real decisions, documentation, and training.

View advisory brief

Next step

Share a few lines about your AI footprint and what you need. I'll follow up with a short note and a suggested time for a call.

Prefer email?

Reach out at hello@brooksanalytics.com with a short overview of your AI systems, teams, and timelines.

© Brooks Analytics & Governance.
About • Brooks Analytics & Governance

About Lance Brooks

I help organizations turn AI risk and operational complexity into clear, defensible governance — enabling executives to innovate with confidence while meeting regulatory expectations.

Over the past decade, I’ve built and led AI governance, data strategy, and oversight programs across high‑scale organizations.

Professional Background

  • Supported governance for 700+ AI/ML systems and $7B+ in AI assets.
  • Led AI & data strategy initiatives focused on analytics, automation, model oversight, and regulatory readiness across complex organizational environments.
  • Legal, business, and technical training with a JD, MBA, and MS in Data Analytics.

Certifications include:

PMP certification
PSM 1 Scrum Master certification
Tableau Desktop Specialist certification
AWS Cloud Practitioner certification
Microsoft Azure certification

How I help

I specialize in helping organizations establish practical, defensible AI governance frameworks that reduce risk, accelerate implementation, and prepare teams for emerging regulatory expectations. My work focuses on connecting legal, risk, data, and product stakeholders so leaders can deploy AI with confidence.

My approach

  • Start from the decisions executives need to make, not just abstract frameworks or technical details.
  • Focus on lightweight, reusable policies, templates, and workflows that teams will actually use.
  • Translate regulatory and technical requirements into clear, practical language for senior stakeholders.
  • Work collaboratively with product, data, legal, and risk teams to embed governance into existing processes.

Career highlights

  • Supported governance for 700+ AI/ML systems and more than $7B in AI and data assets.
  • Helped organizations stand up model inventories, AI risk assessments, and review forums.
  • Advised leaders on aligning AI initiatives with evolving regulatory and policy expectations.
  • Designed governance materials used across engineering, risk, and legal teams.

Ready to strengthen your AI governance?

If you'd like to discuss your AI footprint, risk profile, or where to begin with governance, I'd be happy to connect.

Get in touch
© Brooks Analytics & Governance.
AI Governance Audit • Brooks Analytics & Governance
Brooks Analytics & Governance
Back to overview
Executive 1-page snapshot

AI Governance Audit

A concise, executive-ready review of how AI is used across your organization — and where your highest risks, gaps, and opportunities are today.

Focused on operationalizing responsible AI for modern teams, not adding another 60-page report to your backlog.

2–3 week engagement
1-page summary + short deck
Top 5–7 prioritized risks

What you get

A short engagement that produces a board-ready, defensible story of your AI risk posture.

The AI Governance Audit gives you a clear picture of where AI sits today, how decisions are being made, and what leadership should prioritize in the next 90 days.

Core deliverables

  • 1-page executive summary that distills AI use cases, risk posture, and key decisions.
  • Prioritized risk & gap list with practical next steps for each item (owner, effort, impact).
  • Lightweight AI inventory snapshot so you can see where AI is running and who is accountable.
  • Regulatory & policy alignment view mapped to frameworks like NIST AI RMF and your internal policies.
  • 60–90 minute readout with leadership and key stakeholders.
The goal isn’t volume. It’s clarity. You walk away with a simple, defensible view your executive team can act on immediately.

How the audit works

1. Discovery & scoping (Days 1–3)

  • Quick intake on your business priorities, AI footprint, and key stakeholders.
  • Identify 3–7 priority systems or use cases to focus on.
  • Align on what “success” looks like (board briefing, regulatory readiness, etc.).

2. Deep dive on key use cases (Days 4–10)

  • Structured discussions with product, data, legal, risk, and operations teams.
  • Review of documentation, policies, DPIAs, model cards, and vendor contracts.
  • Map risks across data, models, operations, and governance.

3. Synthesis & executive story (Days 11–15)

  • Translate findings into a 1-page executive view and a short slide deck.
  • Prioritize actions by impact and effort, highlighting quick wins.
  • Facilitate a 60–90 minute readout with clear owners and next steps.
Example outcome: A client discovered an undocumented vendor model driving high-impact decisions. The audit surfaced the gap and led to simple changes in controls and documentation before a regulator asked.
Ready for a simple, defensible view of your AI posture?
Book a 25-minute intro conversation ↗

Questions this audit answers

  • Where is AI currently in use across products, operations, and vendor tools?
  • Which systems pose the highest legal, ethical, or reputational risk?
  • How exposed are we to upcoming AI regulations and industry expectations?
  • What lightweight controls and documentation should we put in place first?
  • What is the simple, honest story we can tell executives, the board, or regulators about our AI posture today?