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Team Enablement

How to Build an Internal AI Champion (and Why You Need One)

How to choose and support an internal AI champion who spreads skills, collects good prompts, and keeps adoption alive after the first training.

By Ben Behmer· Updated June 17, 2026· 4 min read· For Team leads

An internal AI champion is one person who learns the tools deeply, answers questions, collects what works, and keeps the team moving. They do not need to be technical. They need curiosity, credibility with peers, and a few protected hours a week. This role is the difference between a one-time training and lasting adoption. Most adoption stalls for a simple reason: when someone gets stuck, there is no one to ask, so they quietly revert to the old way. A champion removes that friction by being the friendly first stop, which keeps fragile new habits alive long enough to become normal. This guide covers how to choose the right person, what the role actually involves day to day, how to support it so it lasts, and when to grow beyond a single champion to one per team.

Why a champion beats a memo

Adoption stalls when there is no one to ask. A champion gives the team a friendly first stop, which removes the fear of looking foolish. The McKinsey State of AI survey links value capture to organizational practices and people, not tools alone.

How to choose the right person

  • Curious and willing to experiment.
  • Trusted and approachable to peers.
  • Knows the team's real work, not just the tools.
  • Has, or can be given, a few hours a week for the role.

What the champion actually does

  1. 1

    Learn deeply

    Become the go-to expert on your approved tools and use cases..

  2. 2

    Answer questions

    Be the friendly first stop when someone gets stuck..

  3. 3

    Curate prompts

    Maintain the shared library of templates that work..

  4. 4

    Run check-ins

    Host short sessions to share wins and unblock people..

  5. 5

    Flag issues

    Surface accuracy or policy concerns to leadership..

Support the role so it lasts

Give the champion real time, public recognition, and a direct line to you. A champion squeezed for hours quietly stops championing. Pair the role with the practices in our guide to training a skeptical team.

Grow beyond one person

As adoption spreads, add a champion per team or department. The WEF Future of Jobs report highlights rising demand for AI skills, so developing internal experts is an investment in your people, not only the project.

Avoid the single-point-of-failure trap

One champion is a strong start, but if all knowledge lives in one head, you are exposed when that person is on holiday or leaves. The fix is to have the champion document as they go: maintain the prompt library, write short notes on what works, and teach a backup. The role should spread capability, not hoard it. A good champion measures success by how little the team needs to ask them, because the knowledge has become shared.

Give the role a light structure so it does not depend on goodwill alone. A standing monthly session, a clear place to log prompts and issues, and a direct line to whoever owns AI decisions keeps the work visible and supported. Without that, the role tends to fade as the novelty wears off and other priorities crowd in.

Recognize the work so it lasts

Championing AI is real work on top of someone's normal job, and unpaid, unrecognized effort burns out fast. Acknowledge it publicly, count it in their objectives, and protect the hours it takes. The signal that the role matters to leadership is often what keeps a champion engaged. Pair this with the broader practices in our guide on training your team, which depends on champions to sustain momentum after the first training.

Does an AI champion need to be technical? +

No. Curiosity, peer credibility, and knowledge of the real work matter more than a technical background. Many of the best champions are simply people who enjoy trying things and explaining them in plain language, which is exactly what helps colleagues get unstuck.

How much time does the role take? +

A few protected hours a week is a reasonable start. Without protected time, the role tends to fade, because championing AI is real work on top of someone's normal job and unprotected effort quietly gives way to other priorities.

Should the champion be a manager? +

Not necessarily. Often a respected peer is more approachable, which encourages people to ask questions, including the basic ones they might hesitate to raise with a manager. What matters most is credibility with colleagues and the willingness to help.

How do I keep a champion motivated? +

Give real time, public recognition, and a direct line to leadership so the role feels valued, not like extra unpaid work.