AI Governance & Compliance
Rules people will actually follow.
What is AI Governance & Compliance?
Most AI policies are written to survive an audit and ignored by everyone doing the work. Staff paste customer data into a chatbot anyway, because the policy said no and gave them nothing to say yes to.
We write the boring version instead. What's allowed, what isn't, who signs off on what, and what happens when something goes wrong. Then we make sure there's an approved path for the thing people were going to do regardless.
That includes your acceptable-use policy, data-handling rules, and an inventory of the AI already running in your organisation. The inventory usually produces a surprise.
Services provided
What the data says
Almost every organisation we assess is already running AI it doesn't know about. The inventory is usually the most valuable page.
A policy that only says no gets routed around within a month.
Related reading
- People & Change
The People-to-AI Framework: How to Sequence AI and Technology Change
The People-to-AI framework explained: people and operating model first, then process, data and AI, with four phases and questions to test your programme.
- Technology & AI
The EU AI Act: A Practical Compliance Playbook
A practical EU AI Act compliance playbook: how to inventory and classify your AI, know your role, build controls into delivery and plan the first 90 days.
- Industry Insights
AI Diagnostics and the Compliance Tightrope in Healthcare
A practical guide to AI diagnostics in healthcare: validation, human oversight, data protection and governance that let clinical AI move beyond pilot.
Where Ganexa stands out
We optimise for compliance in practice, not on paper. A policy nobody follows is worse than none, because it tells you you're covered.
We map only the regimes that apply to you. Claiming alignment to every framework on the market is marketing, not governance.
It pairs with the architecture. The AI inventory sits beside the systems it touches instead of in a spreadsheet.
Your engagement roadmap
Find what's running
1–2 weeksWe inventory the AI in use, including the tools people adopted without asking. No blame, just the list.
An honest inventory.
Write the rules
2 weeksAcceptable use, data handling, approval gates and an incident path. Short, in plain language.
Policies people will read.
Make yes possible
2–3 weeksSet up the approved route for common requests, so the policy has somewhere to send people.
A working approval path and a register.
Built for where you are
Regulated firms
"We need to show a regulator we have control over this."
We produce the evidence trail and the governance structure, mapped to the regimes that actually bind you.
Something defensible, not just a document.
Firms who've noticed shadow AI
"We think half the team is pasting things into ChatGPT and we've no idea what."
The inventory finds it, and the approved path gives them a sanctioned alternative so they stop hiding it.
Visibility instead of a ban nobody obeys.
What you walk away with
AI inventory
What's running, who owns it, what data it touches.
Acceptable-use policy
Short enough that people read it. Specific enough to be useful.
Approval gates
Risk-tiered sign-off, so low-risk things aren't stuck behind a committee.
Incident path
What happens when a model gets it badly wrong, decided before it does.
Ready to put AI Governance & Compliance to work?
Book a free 30-minute discovery call, you'll leave with a clear, costed next step, no obligation. Or ask us anything: we reply within one business day.
Questions we get asked about AI Governance & Compliance
What does the engagement produce?
An inventory of the AI already running in your organisation, a short acceptable-use policy, risk-tiered approval gates, data-handling rules and an incident path for when a model gets something badly wrong.
How long does it take?
Five to seven weeks: one to two weeks to build the inventory, two weeks to write the rules, and two to three weeks to set up the approved route for common requests.
Which regulations do you map to?
Only the regimes you are actually subject to. Claiming alignment to every framework on the market is marketing, not governance.
We suspect staff are using unapproved AI tools. Where do we start?
With the inventory. It finds what is running without assigning blame, and the approved path gives people a sanctioned alternative so they stop hiding it.