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Specialized practice · AI Risk Management

Know exactly where AI exposes you.

Your team adopted AI faster than anyone wrote it down, and right now you can't say where your data goes or who's on the hook if it leaks. We inventory every AI system, rank the exposure, and build the governance that gets you through security reviews and board questions. Operational, not legal.

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NIST AI RMF · ISO 42001 readiness

Why now

Four pressures, and the clock already started.

You're right to be worried about AI exposure this year. Here's what's driving it.

  1. 01

    Procurement is the fastest forcing function.

    Enterprise security reviews now ship with AI sections. A vendor that can't answer "what's your AI policy, how do you govern model use, where does our data go" watches deals stall. This is the trigger that hits soonest and hurts most concretely.

  2. 02

    Regulation is real, not theoretical.

    AI-specific rules are arriving with real penalties, and ISO 42001, the first certifiable AI management standard, is being written into procurement and diligence. The specifics move quarter to quarter, which is itself the argument for staying current.

  3. 03

    Boards and diligence are asking.

    Investors, acquirers, and audit committees now ask about AI risk posture. A founder who can't answer crisply looks unmanaged at exactly the wrong moment.

  4. 04

    Shadow AI is already inside the building.

    Employees are using public models with company and customer data, with no oversight. Most teams discover the extent of it only when someone goes looking, which is the first thing the audit does.

How it works

Audit, build, stay current.

Each step de-risks the next. The audit makes the exposure impossible to ignore, the build closes it, and staying current keeps it closed as the rules and your AI footprint move.

01 · Risk Audit

Make the invisible visible.

Inventory every AI system, model, vendor, and use case, including shadow AI. Map the data flows, classify each by risk, and benchmark against NIST AI RMF.

What you getAn AI system inventory, a ranked risk register, and an executive-readable exposure report. Fixed-fee, two to three weeks, scoped before any work begins.

No material exposure you hadn't documented, or you don't pay.

02 · Governance Build

Close the gaps with a system that holds.

Write the policies, define who owns AI decisions, and produce the documentation that survives a security review. Optional ISO 42001 readiness module.

What you getA working governance system: policies, model docs, vendor process, and an incident plan, not a memo you shelve.
03 · Stay current

The governance team you're too small to hire.

Re-review new systems on a cadence, update policy as the rules move, answer the AI sections of security questionnaires, and produce a quarterly board-ready posture report.

What you getYour AI posture stays current as your footprint and the regulations change.
This is operational

Lawyers write contracts. Engineers write code. Neither does this.

AI risk sits in the gap between the two, which is exactly where nobody is looking. We treat it as the operational problem it is, run by people who actually understand the technology, and we leave you with a working system instead of a report. We prepare you for the audit; an accredited body issues the certificate.

  • Structured on NIST's AI Risk Management Framework
  • A clear path to ISO 42001 readiness when you need it
  • Documentation that holds up in a security review
Why not a law firm

A law firm tells you you're exposed. We hand you the fix.

Law firms, Big Four, and GRC software

  • Law firms write contracts, not AI inventories, and bill like it
  • Big Four are built and priced for the Fortune 500
  • GRC platforms automate evidence; they don't exercise judgment
  • None of them leave you with a system you can run

Imajin Labs

  • An operational inventory and governance build, not a memo
  • Senior operators who run the models themselves, priced for the mid-market
  • Judgment a platform can't give, riding alongside the one you have
  • You're left with a working system you own and can run

Same exposure, two outcomes: their memo, or a working system you own and can run. And the audit costs less than the legal bill for the first incident.

Selected results

What an audit actually caught.

Anonymized at our clients' request, and measured on real systems before they reached users.

  • Litigation firm20 attorneys
    Audited a contract-review assistant for hallucinated citations and missed clauses.
    7% fabricated cites → 0after guardrails
  • HR SaaS80 people
    Audited a resume-screening model for adverse impact against a protected group.
    Disparity removedreweighted, audit trail in place
See the exposure

Find your AI risk while it's still just risk.

Book a call and we'll walk through where you're likely exposed and what the audit would surface, before it turns into an incident, a board question, or a regulator's letter. Just a clear read on your situation.

Book a discovery call

For any team shipping or relying on AI, from a few people to a few hundred