AI Governance Consulting

Your AI is already making decisions. Is your governance keeping up?

We help enterprise organizations build the governance frameworks, review boards, and accountability structures that make AI safe to scale. Strategic implementation for the teams who build AI and the teams who oversee it.

Schedule a Governance Assessment

Most enterprise organizations are deploying AI faster than they are governing it. Models are in production, influencing decisions in clinical workflows, academic research, financial underwriting, and customer-facing products. But the governance infrastructure that should surround those deployments does not exist yet. No review boards. No risk management frameworks. No clear accountability for what AI systems do or fail to do.

The gap is not a technology problem. It is a structural one. AI teams build and ship. Legal, compliance, and risk teams react after the fact. There is no shared process, no common language, and no institutional structure connecting the people who create AI systems with the people responsible for what those systems produce.

That is the gap where regulatory exposure, reputational risk, and operational liability live. And it is closing fast. The EU AI Act is in enforcement. NIST AI RMF adoption is accelerating. State legislatures are moving. The organizations that build governance infrastructure now will be ready. The ones that wait will be responding to auditors instead of leading their industries.

AI governance infrastructure your legal, compliance, and AI teams can all stand behind

AIML Governance LLC is a boutique AI governance consulting firm that works at the intersection of AI build teams and legal, compliance, and risk functions. We design and implement the frameworks, processes, and institutional structures that make governance operational, not theoretical.

The result is not a compliance report that sits on a shelf. It is a functioning governance layer: review boards with clear charters, risk management processes aligned to NIST AI RMF, accountability frameworks with defined roles, and cross-functional workflows that your teams actually use. Governance becomes the infrastructure that lets your organization move faster with confidence, not the bottleneck that slows everything down.

NIST AI RMF alignment and implementation

AI governance gap assessments

AI review board design and charter

Cross-functional accountability frameworks

Enterprise AI governance, tailored to your sector

Higher Education

Research universities and academic medical centers are deploying AI across admissions, research, student services, and clinical operations. FERPA, IRB requirements, and institutional policy frameworks create a governance landscape unlike any other sector. We build governance structures that respect academic culture while meeting regulatory requirements.

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Technology and SaaS

AI-native and AI-adopting software companies ship fast. Governance needs to move at the same velocity without becoming a blocker. We help technology organizations build governance frameworks that scale with engineering speed, from model risk management to EU AI Act compliance for products shipping into regulated markets.

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Healthcare and Life Sciences

Clinical AI, diagnostic algorithms, and AI-assisted treatment decisions carry stakes that demand governance rigor. Hospitals, health systems, and medical device companies need governance frameworks that integrate with existing compliance structures (HIPAA, FDA, institutional review) while addressing the new risks AI introduces.

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Organizations that govern AI well do not slow down. They build faster.

Our founder contributed to AI product governance at Harvard Business School and Harvard Business Publishing as a subcontractor, building the accountability frameworks needed to deploy AI responsibly at institutional scale.

At McKesson, a Fortune 10 healthcare company, our founder led enterprise AI program management, structuring governance across complex, regulated operations.

10+ years of enterprise AI program leadership across Fortune 10 organizations, including Meta. Frameworks built here are in production at the largest scale in the industry.

IAPP Certified AI Governance Professional. Practitioner depth backed by institutional certification.

How an engagement works

Assess

We start with a governance gap assessment that maps your current AI landscape, identifies risk exposure, and benchmarks your governance maturity against NIST AI RMF.

Design

We design a governance framework tailored to your organization: review board structure, accountability roles, risk management processes, and the cross-functional workflows that connect your AI and oversight teams.

Implement

We build alongside your teams, not from the outside. Governance playbooks, operating procedures, and training are delivered so your organization owns the framework from day one.

Sustain

We establish the monitoring, reporting, and continuous improvement processes that keep governance current as regulations evolve, models change, and your AI portfolio grows.

Start with a clear picture of where your AI governance stands

A governance assessment maps your current AI landscape, identifies the gaps between where you are and where regulations require you to be, and delivers a prioritized roadmap your teams can act on. No slide decks that sit on a shelf. A working plan.

Schedule My Assessment

We respond within one business day. No automated sequences. A real reply from our team.