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AI Governance

Move quickly on AI, without accumulating unmanaged liability.

Practical policy, clear decision rights and proportionate oversight, so your team knows what may run unattended, what requires review, and who is accountable.

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What it is

Rules that speed the business up, not slow it down.

Your team is already using AI. Governance is simply the agreement, in plain language, on what is permitted, what is not, and who is accountable, written for the people doing the work rather than for a policy binder. Done well, it accelerates the business, because no one has to stop and ask.

The challenge

Useful tools, with no one accountable for how they are used.

One person is drafting client correspondence with AI; another is entering company data into a tool no one has assessed. It is helping, and it is quietly creating exposure that no one owns.

Where we focus

Four places we set boundaries before anything runs.

  • Establishing how AI is genuinely being used across the business, sanctioned or not.
  • Setting clear, workable rules for acceptable use, data handling and escalation.
  • Assigning decision rights and proportionate human oversight.
  • Aligning data handling with Canadian privacy law, including PIPEDA and Alberta's PIPA.

How the engagement runs

Uncover, Shape, Build, Adopt, Grow.

Uncover, Shape, Build, Adopt, Grow, with the rules embedded where the work happens, not filed in a document no one reads.

How an engagement runs
UNCOVER SHAPE BUILD ADOPT GROW STANDARD CONDITIONS DECLINE HOLDS RE-ASSESS Inventory AI use Classify the data Risk score Leadership review Approve with limits Declined and logged Assign a namedowner Write rule inworkflow Deploy in workflow Train and recordsign-off Monitor usage Quarterly review Governed use

Green dots are steps the system runs, blue marks a point where a person decides, the bands are our five phases (Uncover, Shape, Build, Adopt, Grow), and the dark node is the outcome you keep.

The results

What changes once governance is in place.

Clear rules your people actually follow

Faster, safer AI adoption, without waiting on ad-hoc permission

A named owner for every material AI decision

A clear, credible answer when a client asks how you use AI

Typical outcomes; scaled to your size.

Who it's for

You will recognise at least one of these.

  • AI tools are in daily use across the team, with nothing yet governing them.
  • A client, insurer or regulator has begun asking how you handle AI.
  • Leadership wants to say yes to AI but cannot yet describe what "safe" means here.
  • As the founder, you have personally become the approval process for anything AI.

Questions

The things people ask before signing.

Book a working session.

Tell us how AI is appearing across your team. In ninety minutes we will map the exposure and the practical rules that close it.

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