03 AI Governance, Cybersecurity & Compliance

AI governance consulting for small and midsize businesses.

Decide how your business selects, uses, and oversees AI, and document it well enough to show a customer, an auditor, or a regulator.

Updated

Who this is for

Built for businesses like these.

  • Businesses whose teams already use AI tools without an agreed policy.
  • Companies asked by customers or partners to explain how they govern AI.
  • Leadership teams planning an AI investment who want the controls in place first.
  • Businesses preparing for an independent assessment or certification.

The problem

Why this work matters.

Most small and midsize businesses adopt AI tool by tool. Someone starts using an assistant for drafting, a vendor adds AI features to a product you already pay for, and a developer wires a model into an internal workflow. Each decision is reasonable on its own. Together they create exposure nobody has mapped: customer data in tools nobody evaluated, outputs nobody reviews, and no record of who decided what.

Governance work makes those decisions explicit. It is not a binder on a shelf. It is a short set of documents and responsibilities that let your team keep using AI with confidence and answer questions when they come.

What you get

Defined deliverables, not open-ended advice.

AI use inventory

Every place AI is used or proposed, what data it touches, who owns it, and which vendor terms apply.

Risk assessment

The risks that matter for each use, rated and prioritized, with the business context behind each rating.

Policies and responsibilities

Acceptable use, review and approval, data handling, and vendor selection, written for your team and assigned to named roles.

Controls and evidence plan

A prioritized plan for the controls to put in place and the evidence that shows each one operating, in the order that reduces the most risk first.

How an engagement runs

Assess, define, deliver and verify.

  1. 01

    Assess

    We interview the people using and buying AI, review existing policies and contracts, and build the inventory.

  2. 02

    Define

    We agree the scope of the policies, the frameworks and compliance areas in play, who owns each responsibility, and what evidence you need to keep.

  3. 03

    Deliver and verify

    We write the documents with your team, walk through them with the people who will use them, and hand over a plan you can run without us.

Where we draw the line

This is readiness and advisory work. We prepare your business for independent certification or audit; we do not issue certifications or act as an independent auditor.

Selected experience

An example from the team’s work.

Delivered by KrimaAi: the context, the challenge, what we did, and the result.

AI governance and complianceDelivered for BGA

An AI governance program for a life sciences advisory firm

Context
BGA is a biotechnology and life sciences advisory firm. Its team provides leadership development, strategic planning, FP&A and M&A diligence, and fractional executive support, which means its advisors handle confidential client material every day.
Challenge
AI assistants and the AI features inside everyday tools were arriving faster than any policy. The firm needed to know where AI was in use, what client data it could touch, who was accountable, and how to answer a client who asked.
What we did
We inventoried every place AI was used or planned, assessed the risks that matter for a firm handling confidential diligence and financial data, and wrote policies with named owners for acceptable use, client data handling, review of AI output, and vendor selection. We closed with a prioritized plan for the controls to put in place and the evidence that shows each one operating.
Result
The firm has an AI policy set its team can operate, a current inventory, and the evidence to answer client questions about how AI touches their work. The figure below shows the program’s structure; the findings stay with the client.

FAQ

Questions about AI governance and compliance.

How long does an AI governance engagement take?

It depends on how many AI uses you have and how much existing policy work there is to build on. We agree the scope and a realistic timeline in the Define step, before any work is billed.

Do we need governance if we only use off-the-shelf AI tools?

Usually yes. Off-the-shelf tools are where most customer data ends up. The inventory and acceptable-use policy are often the highest-value pieces for a business that builds nothing itself.

Can you help us answer a customer or vendor questionnaire about AI?

Yes. The inventory, policies, and evidence plan are designed so your team can answer those questions directly and consistently.

Get in touch

Have a project or RFP in mind? Let’s see if we’re a good fit.

Tell us about the problem, the scope you have in mind, and your timing. If you are sending an RFP, include the submission deadline.

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