AI principles for your team How should our team approach AI in our work?

A team’s approach to AI should fit its own work, and the team should decide it together. Rules handed down from outside rarely stick. When a team decides together where AI helps, where it doesn’t, and what good work still requires, people follow the principles because they’re theirs.

Before

We learn what your team does, how it uses AI today, and what it’s being asked to deliver.

In the workshop

Your team decides where AI fits in its work, where it doesn’t, and what has to stay true.

After

Within 3 days, the team’s AI principles written up for the team to share and use

Team AI principles

Where your team uses AI, where it doesn’t, and why

AI use map

Your team’s main work, with where AI helps marked for each part

Standards

What has to stay true of your team’s work, however it’s made

Next steps

The skills to build, the tools to set up, and what to start first

• Your team has been asked for its AI plan
• People on your team use AI in very different ways
• Your team worries about what AI means for its craft
• Your company rolled out AI, and your team hasn’t decided how it fits
• You’re a new leader setting direction for your team

Setting up Claude Code for your team (beginner), to put the principles into practice, or Defining and teaching quality, to turn the standards into a shared bar