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    charmthirteen.com/ai-governance-consulting
    AI Governance Consulting

    AI governance consulting for teams that have to show their work.

    Most AI governance work ends at a 40-page policy nobody reads. We build the operational layer underneath. The intake process. The risk classification. The audit log. The review cadence. The escalation path. The actual evidence you hand to a regulator, a board, or a customer who asks how this works.

    For healthcare, government, legal, financial services, and any team whose AI use is going to be scrutinized by someone with the authority to stop it.

    Schedule a Vibe CheckSee engagements ↓
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    The pattern

    AI governance is not a policy problem. It is a systems problem.

    Almost every regulated team we meet has the same three artifacts. A responsible-AI policy somebody wrote in 2024. A model inventory spreadsheet that nobody owns. A risk-and-compliance committee that hears about new AI tools after they have already shipped. None of those three things stop a bad outcome.

    The gap is not the policy. The gap is between the policy and the work. We build the operational layer that closes it.

    • Every AI use case has a clear owner, a risk tier, and a review path before it touches production.
    • Every model output that matters is logged with enough context that an auditor can reconstruct what happened.
    • Every vendor that brings AI into your environment is evaluated against the same checklist, not whichever procurement officer they got to first.
    • Every quarter, the governance committee gets a real report, not a status update.
    who_we_work_with.txt×
    Who this is for

    Built for teams where AI use will be reviewed.

    Healthcare organizationsHospitals, payers, and digital health companies under HIPAA, state law, and FDA oversight.
    Government & public sectorAgencies adopting AI under OMB guidance, state AI mandates, and public-records obligations.
    Financial servicesBanks, fintechs, and asset managers facing model-risk management rules and CFPB attention.
    Legal teamsLaw firms and in-house legal groups using generative AI under bar guidance and client confidentiality rules.
    Enterprise SaaSCompanies whose customers are now asking governance questions in security reviews.
    AI-native startupsBuilders preparing for SOC 2, ISO 42001, the EU AI Act, or a regulated enterprise sale.
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    Engagements

    Four ways we stand up AI governance that actually holds.

    Engagement 01AI Governance AssessmentWe inventory every AI use case across the org, classify each by risk, and map the gap between current practice and the frameworks you are actually accountable to. NIST AI RMF, ISO 42001, EU AI Act, sector-specific guidance. You leave with a prioritized remediation plan.
    Engagement 02Framework & Policy DesignWe write the policy, the intake process, the risk-tiering rubric, the vendor review checklist, and the audit log spec. Written for the people who have to follow them, not for a binder.
    Engagement 03Implementation & Operating CadenceWe stand up the committee, the intake queue, the review meetings, the reporting. We sit in the first three review cycles so the process survives the handoff.
    Engagement 04Audit & Regulator ReadinessTargeted engagement to prepare for a specific audit, certification, customer security review, or regulator inquiry. We pressure-test the evidence, fix what cannot be defended, and document what can.
    frameworks.txt×
    Frameworks we work in

    We map your AI practice to the rules your reviewers actually use.

    Picking the right framework matters less than implementing one of them well. We routinely work with NIST AI RMF, ISO 42001, the EU AI Act, HIPAA, SOC 2, OMB M-24-10 for federal teams, model-risk guidance like SR 11-7 for financial services, and state AI laws including the Colorado AI Act and NYC Local Law 144. If your reviewer cares about a different one, we work in that too.

    The deliverable is never the framework. The deliverable is a governance practice that a reasonable auditor would call mature.

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    What good looks like

    Mature AI governance, described in plain language.

    • A current inventory of every AI system in use, with an owner, a risk tier, and a last-reviewed date.
    • An intake process new AI use cases actually go through, not around.
    • A vendor evaluation that asks the same questions every time and stores the answers somewhere searchable.
    • Audit logs that capture the prompt, the output, the user, the model version, and the downstream decision.
    • Human-in-the-loop checkpoints scoped to risk tier, not applied uniformly to everything.
    • A quarterly review the executive team actually reads, including incidents, near-misses, and use cases retired.
    • A documented path for shutting an AI use case down quickly when something goes wrong.
    faq.txt×
    FAQ

    AI governance consulting, plainly answered.

    What is AI governance consulting?

    Helping an organization decide which AI it will use, how, by whom, with what oversight, and what evidence it can show when asked. It spans policy, process, technical controls, and the operating cadence that keeps all three honest.

    Is this the same as responsible AI consulting?

    Mostly yes. Responsible AI is the goal. Governance is the operational system that produces it. We use both terms because clients use both.

    Do you write the policy or just review ours?

    Both options exist. Most clients have a draft. We rewrite it to be implementable, then build the process underneath it. Pure review engagements are available for teams who only need a second set of eyes.

    Which framework should we adopt?

    Whichever your auditors, regulators, or biggest customers will ask about first. For most US enterprises, that is NIST AI RMF plus ISO 42001. For healthcare, add HIPAA and any applicable FDA guidance. For EU exposure, the AI Act. We help pick.

    How long does an engagement take?

    Assessment runs four to six weeks. Framework and Policy Design is six to ten weeks. Implementation is typically a quarter. Audit Readiness is scoped to the deadline.

    Do you work with startups or only enterprises?

    Both. Startups preparing for a regulated enterprise sale, a SOC 2 audit, or an ISO 42001 certification get a compressed version of the same work.

    related.txt×
    Related practices
    Healthcare AI ConsultingClinical AI safety, EHR-adjacent systems, and HIPAA-aware implementation.All servicesPromptOps, AI Systems, Training, Founder Advisory.
    Start here

    Governance before the next AI rollout, not after.

    Free 30-minute Vibe Check. We will tell you the truth.
    Schedule a Vibe Check ↗