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Module
Module 4 of 4Lesson 3 of 4~10 min

Write your team's AI policy

Even in a team of five, clear rules prevent unpleasant surprises with AI. This lesson guides you through writing a short policy, from approved tools to transparency with your customers, and through planning a gradual rollout so the team adopts it rather than working around it.

Take this lesson: your first course is freeSee the full syllabus

Lesson objective

By the end of this lesson, you will be able to write a one-page AI policy (approved tools, forbidden data, permitted uses, checks, transparency, owner) and plan a gradual rollout in your team.

Topics covered

  • AI policy
  • AI acceptable use policy
  • transparency
  • AI governance

Where it fits

Capture it and share it with the team

How do I turn a good result into a reusable, shared method without losing control?

Lessons in this module

  1. Turn a good result into a reusable workflow
  2. Move to an online deliverable without mistaking a prototype for a product
  3. Write your team's AI policy (this lesson)
  4. Your 30-day plan and resources

What you will learn in this module

This lesson is part of the course Put AI to work in your business

  • Sort data before giving it to an AI tool (allowed, anonymize first, forbidden) and configure the tool to match.
  • Pick the right tool for a deliverable and justify the choice on data, cost, licensing and integration.
  • Turn a successful use into a reusable workflow with human checkpoints, and set the team's rules of use in an AI policy.

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