AI policy

A one-page AI policy your team will actually follow

Your staff are already using AI, often on personal accounts. We'll help you write a one-page policy people actually read, approve the right tools, and train the team in an afternoon.

Sound familiar?

  • Staff paste client or patient details into free AI tools on personal accounts
  • There's no written rule on what's allowed, so everyone guesses
  • A client, insurer or regulator has asked what your AI policy is
  • You don't want to ban AI — you want it used without risking client data

What changes

One page, not a binder

A short, plain-language policy on what's fine, what needs care and what's off limits — short enough that people follow it.

Approved tools replace workarounds

Business accounts with the right privacy settings, so staff stop needing personal ones.

Everyone trained, quickly

Short, task-based training built around the work your team actually does.

A ready answer

When a client or insurer asks about AI, you hand them the policy and the answer is done.

How we'd approach it

  1. Find out what's really happening

    A short, no-blame survey shows which tools staff use and what information goes into them.

  2. Sort your information

    We agree together what counts as public, internal, confidential and personal or health information.

  3. Write the one-pager

    The policy is drafted in plain language, reviewed with you, and trimmed until it fits on one page.

  4. Train and check in

    Staff get practical training on the approved tools, then a follow-up a few weeks later to adjust what isn't working.

What it might look like

Physiotherapy clinic · 15 staff · illustrative

Clear lines around patient information

Front-desk staff keep AI for scheduling messages and general writing, with one firm rule: patient health information stays in the practice system.

Professional firm · 25 staff · illustrative

From personal accounts to approved tools

Staff move to a business plan with data-retention controls, and the one-page policy spells out what client information can never be pasted into an AI tool.

These are illustrative examples of the kind of work involved, not results from specific clients.

What we measure

We agree a baseline before changing anything, then check the same numbers afterwards.

  • Personal AI accounts in use for work
  • Policy in place and acknowledged by staff
  • Staff trained on the approved tools
  • Sensitive data flagged or reported

Works with what you have

We work across Microsoft Copilot, Google Gemini, ChatGPT, Claude and the AI features inside industry software. The right tool depends on how sensitive your information is, and we explain the trade-offs in plain language. We don’t earn commission from any AI provider.

Questions

Is this legal advice?
No. Your obligations under Alberta privacy law stay with your business. Our work is advisory and operational — practical guardrails, tools and training — and we’ll recommend involving your legal adviser where that’s needed.
Why not just ban AI tools?
Bans tend to push AI use onto personal accounts where you can’t see it. Approved tools with clear, short rules usually reduce risk more than a ban does.
Will staff actually read a policy?
They will if it’s one page, written in plain language and tied to their real tasks. That’s the whole point — a policy nobody follows protects nobody.
What about client or patient confidentiality?
Sorting information by sensitivity is step two of the work. Client, personal and health information gets the strictest rules, and approved tools are chosen to match.

No policy in place yet?

Start with a short conversation about how your team uses AI today.