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This guide is your companion

As a Participant, you’re part of the movement bringing AI into everyday work. Your goal isn’t to master the technology, it’s to apply it confidently where it adds value. Through small, practical experiments, you’ll discover where AI can save time, improve quality, and make work easier. Curiosity and openness are your greatest assets. By learning the basics, applying them in real projects, and giving structured feedback, you help shape better tools, stronger practices, and more efficient workflows for everyone.

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Where to start

  • Meet your champion, agree on current priorities, and schedule regular sync touchpoints.
  • Bookmark the deep dive for Champions and keep this overview handy for participant refreshers.
  • Share early stories—good and bad—so the wider program can adapt fast.

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Participant essentials

Learn the foundations

Complete required training and understand policy guardrails before diving in.

Apply in real work

Use approved copilots for drafting, analysis, and problem solving inside daily tasks.

Share feedback

Surface wins, blockers, and ideas so enablement teams can improve playbooks.

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Fit check

Use this quick check to identify teammates ready to thrive as participants.

Right fit

  • Curious and open to experimenting with new workflows.
  • Comfortable following guidance and giving structured feedback.
  • Works in processes where AI support can boost speed or quality.

Needs prep

  • Minimal bandwidth to complete onboarding.
  • Handling sensitive data without clear policy alignment.
  • Reluctant to document or share learnings with peers.
Expect a focused onboarding burst (a few hours in month one) and then light-touch integrations inside weekly workflows.

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Participant characteristics

Process minded

Spots repeatable moments where AI can take friction out of the workflow.

Policy aware

Applies privacy, security, and compliance guidance without shortcuts.

Collaborative

Shares prompts, tips, and blockers with peers and champions.

Outcome focused

Tracks time saved, quality lift, or customer impact alongside experiments.

Continuous learner

Revisits training refreshers and stays current on new capabilities.

Responsible storyteller

Captures before/after stories that help leaders understand real impact.

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Typical activities

Complete onboarding

Finish AI Foundations, confirm policy understanding, and configure approved tools.

Apply prompts in workflow

Use starter prompts, iterate with champions, and document workable versions.

Log outcomes

Capture time saved, quality improvements, and edge cases in the team tracker.

Share with peers

Post quick wins, demos, or questions in the designated community channel.

Stay compliant

Double-check sensitive data handling and flag policy uncertainties immediately.

Refine workflows

Collaborate with champions to keep prompts, templates, and SOPs up to date.

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Participation expectations

Your commitments

  • Follow the approved prompting patterns shared during training.
  • Flag inaccurate or unsafe responses using the built-in feedback tools.
  • Share weekly feedback so the enablement team can keep improving the experience.

Support you can count on

  • Depot champions host office hours twice a week.
  • The Driver Guide contains detailed escalation paths if you spot policy risks.
  • Updates to prompts or workflows are announced on the Updates tab—check it often.

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Participant FAQ

Start with the use-case guides in the Participant Guide, then ask your champion for context-specific recommendations.
Pause the workflow, consult the policy quick guide, and escalate to the driver or security contact listed there.
Log quick metrics or anecdotes in the shared tracker and tag your champion so they can amplify wins.
Stay aligned with champions by revisiting this overview and syncing on shared metrics each month.