AI Governance & Risk Readiness
AI Governance Readiness Sprint: Audit-Ready in 30 Days
Fixed-price 30-day sprint: AI-use inventory, risk register, policy set, and a questionnaire response kit. Be defensible before a customer or auditor asks.
78%
of 950 leaders lack strong confidence they'd pass an AI governance audit in 90 days (Grant Thornton, 2026)
30 days
from kickoff to a defensible governance position
$10k–$25k
fixed price, scoped before you commit
The email that starts this engagement is rarely about AI. It’s a security questionnaire from your biggest customer, with a new section: “Describe your organization’s AI governance controls.” Or it’s a board member asking, after a headline, “are we exposed on this?” And the honest answer is that nobody has written anything down.
You’re in the majority: 78% of 950 surveyed leaders lack strong confidence they’d pass an independent AI governance audit within 90 days (Grant Thornton, 2026). The sprint exists to move you into the other 22% before someone external sets the deadline for you.
What the Governance Sprint Is
A fixed-price, 30-day engagement that ends with your company defensible on AI governance: what’s in use, what the risks are, what the rules are, and what you hand a customer or auditor who asks.
The deliverables, named:
- AI-use inventory. Every AI tool in use, including the shadow tools employees adopted without telling anyone. This is the step that surprises every leadership team.
- Risk register. Ranked by real exposure: data handling, customer commitments, vendor terms, model behavior.
- Acceptable-use and data-handling policy set. Written for your company at your size, not a 40-page template nobody reads.
- Vendor and model documentation pack. What you’re running, whose terms govern it, where the data goes.
- Enterprise questionnaire response kit. Pre-drafted answers for the AI sections of customer security questionnaires, so the next one takes hours, not weeks.
- 90-minute leadership briefing. Your executives leave able to answer the board’s questions without reading from a binder.
Price: $10k–$25k, fixed. Governance-grade work, scoped in one call, no open-ended advisory meter running.
This Is Operational Evidence, Not a Legal Opinion
The most common pushback is “legal owns this.” Legal owns the opinion. What legal doesn’t have is the ground truth: which tools are actually in use, what data they touch, and which controls exist. That’s operational work, and it’s what this sprint produces. Your counsel reviews the output; they don’t have to generate it.
If you sell into the EU, the documentation is built with EU AI Act obligations in view so nothing gets redone later. For US-focused companies, the drivers are your customers, your board, and your auditor, and the sprint stays aimed at them.
Who This Is For
- SMB and mid-market companies (50 to 500 people) facing an enterprise customer’s AI questionnaire or audit clause
- Boards and owners who asked “are we exposed?” and got silence
- Companies whose insurer, auditor, or bank has started asking AI questions
- Teams that adopted AI fast and now need the paper trail to match
Governance reviews have a way of finding the stalled pilot too: the tool everyone stopped using but nobody measured or decommissioned. That’s the AI Pilot Rescue Sprint. And once the governance baseline exists, someone has to own it quarter over quarter: that’s the Fractional Chief AI Officer. If you’re still deciding what AI should do for the business in the first place, start at the AI consulting hub.
Schedule a consultation and bring the questionnaire that started this: calendly.com/ronankeane/ai-revenue-acceleration-readiness-discovery-call
Or send a message if you’d rather start with a question.
/faq
Frequently asked questions
Doesn't our legal counsel own AI governance?
Legal owns the legal opinion. This sprint produces the operational evidence legal reviews: the inventory of what AI is actually in use (including the shadow tools), the risk register, the policy set, and the documentation pack. Most counsel are glad someone did this part, because they can't write a defensible opinion about tools nobody inventoried.
What triggers companies to do this?
Three moments, in order of frequency: an enterprise customer sends a security questionnaire with an AI section you can't answer well; a board member or owner asks 'are we exposed?' and nobody knows; or an insurer or auditor starts asking. The pattern is the same: someone external forces the question, and the deadline is theirs, not yours.
What if we sell into the EU?
Then the sprint's documentation pack is built with EU AI Act obligations in view, so you're not redoing the work later. For US-focused companies it stays out of the way: the sprint is driven by what your customers, board, and auditors ask for, not by European regulation.
What exactly do we get in 30 days?
Six deliverables: an AI-use inventory covering sanctioned and shadow tools; a risk register ranked by exposure; an acceptable-use and data-handling policy set; a vendor and model documentation pack; a response kit for enterprise-customer AI questionnaires; and a 90-minute leadership briefing so your executives can answer the board fluently.
How much does it cost?
Fixed price between $10,000 and $25,000 depending on how many AI tools are in use and how many customer questionnaires you're facing. You get the exact number after a scoping call, and it doesn't move.
We barely use AI. Do we still need this?
You use more than you think: that's what the shadow-tool inventory always shows. Employees adopt AI tools without telling IT, and those tools touch your data whether or not there's a policy. A company that 'barely uses AI' but can't prove it is in a weaker position than one with an inventory and a one-page policy.
/next step
Ready to talk specifics?
Schedule a 30-minute discovery call. No pitch deck, just a direct conversation about where your team is and what's blocking progress.
Last updated: July 2, 2026