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AI Strategy & Governance

AI without a plan is just
expensive experimentation.

Most organizations jump into AI tools before they've answered the questions that matter — what are we trying to achieve, who is responsible for what, and how do we make sure we're doing this safely and legally. That's what AI strategy and governance is for.

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Step 1
Where you are now
Step 2
Where you want to go
Step 3
How you'll get there safely
Phased roadmap with clear ownership
AI Governance Framework included
What we mean by AI strategy

AI strategy isn't a document that sits on a shelf.

It's a working plan that answers three practical questions for your organization.

Where you are now

An honest assessment of where your organization currently stands — what tools are already in use, where the gaps are, and what your team is actually capable of right now.

Where you want to go

What does success look like in 12 to 24 months? Which processes could AI improve? Where would time savings have the most impact? We help you get specific about what you're actually aiming for.

How you'll get there safely

A phased roadmap — starting with your easiest wins and building toward your bigger goals — with clear ownership, realistic timelines, and built-in checkpoints so nothing goes off the rails.

What we mean by AI governance

Governance is the part most organizations skip.

And it's the part that causes problems later.

Governance doesn't have to be complicated. We build governance frameworks that are practical enough for your team to actually follow — not 40-page policy documents nobody reads.

62%

of Canadian organizations that deployed AI without a governance framework reported at least one AI-related incident within the first year — including data exposure and incorrect AI outputs reaching clients or the public.

At its core, governance answers four questions:

1

What can our staff put into AI tools — and what is off limits?

2

Who is responsible when AI gets something wrong?

3

How do we stay compliant with Canadian privacy law?

4

How do we make sure AI outputs are reviewed before they cause a problem?

What the engagement looks like

Every engagement is scoped to your organization.

There is no one-size-fits-all here. A typical engagement moves through three phases:

1

Discovery

Phase 1

We talk to your leadership team and key staff to understand how your organization works, where the pressure points are, and what's already been tried. This is where we find your real opportunities — not the ones that look good on a slide deck.

2

Strategy & Governance Build

Phase 2

We deliver a clear AI strategy document and a practical governance framework — both written in plain language your whole team can understand and act on. No jargon, no filler.

3

Roadmap & Handoff

Phase 3

You leave with a prioritized action plan, clear ownership for each step, and the option to have Clearpath stay on as an advisor as you implement.

Who this is for

For leaders who are serious about AI — and want to do it right.

This service is built for organizational leaders who want to move thoughtfully, not just fast.

Not the right fit if

You're just looking for tool recommendations. That's a different conversation — and our free AI Readiness Assessment is a better starting point.

It's a good fit if:

Your leadership team has committed to AI but nobody has mapped out what that actually means

You've started using AI tools but have no policies in place for how staff should use them

You're in a regulated industry — healthcare, Indigenous governance, legal, financial services — and need to make sure you're compliant

You've had an AI-related incident and need to get proper guardrails in place

You're preparing a grant application or board report that requires an AI strategy

Common questions

The questions we get before most engagements.

Ask us directly
Big firms build strategies for big organizations — long engagements, large teams, high overhead. We work directly with your leadership, move faster, and deliver something your actual team can use. And we cost a fraction of what a national firm charges.
Not necessarily. Some organizations are better served starting with a training workshop or a small implementation project first — getting hands-on experience before building a formal strategy. We'll tell you honestly which approach makes more sense for where you are.
Most engagements run four to eight weeks from discovery to final delivery. Simpler organizations move faster. Those with complex regulatory requirements or multiple departments take longer. We scope it clearly before you commit.
If your staff are using AI tools — even informally — you need at least a basic policy in place. It doesn't have to be complicated. A one-page acceptable use policy is infinitely better than nothing, and it's often where we start with smaller organizations.
Yes. This is an area we take seriously. Indigenous organizations have specific obligations around data sovereignty and community data governance that generic AI governance frameworks don't address. We build those considerations in from the start.
Ready to build your AI strategy?

Book a free 30-minute
discovery call.

We'll talk through where your organization is, what you're trying to achieve, and whether a strategy and governance engagement is the right next step.

Book a Discovery Call

Not sure if you're ready for strategy? Take the free AI Readiness Assessment first.