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The aim is a small community of helpful practitioners, not a permanent extra job assigned to whoever tried the tool first.
Define the AI champions' contribution
Ask champions to help colleagues understand approved possibilities, demonstrate bounded examples and collect practical observations. Keep formal decisions with the relevant owners.
Allie K. Miller's WorkLab conversation highlights giving unconventional experimenters room to contribute. Treat that as an expert perspective, not a requirement to select the loudest or most technically confident people.
In a hypothetical regional business, a champion could demonstrate how to organise fictional meeting notes. They should not decide that confidential staffing records may be uploaded or approve an automated customer communication system.
Write those boundaries into the role description.
Select for helpfulness and judgement
Look for people who understand the work, explain clearly and are willing to show a failed attempt. Technical interest is valuable, but a champion also needs patience and respect for colleagues' concerns.
Invite different roles and levels of experience. A frontline colleague may notice practical constraints that a central team misses. An experienced reviewer may contribute more to reliable use than someone who generates impressive demonstrations.
Avoid treating hesitation as lack of ambition. A colleague asking about information handling or review effort may be identifying a problem the programme needs to solve.
Make participation voluntary where possible and clarify how it fits with existing responsibilities.
Give champions a bounded support route
Provide a small set of approved tasks, current guidance and named contacts for questions outside their remit. Champions should know when to redirect rather than improvise.
| Question | Appropriate owner |
|---|---|
| How do I use this approved example? | Champion or trainer |
| May this information be uploaded? | Information or security owner |
| Can this system send messages automatically? | Workflow owner and authorised technical reviewer |
| Is this result acceptable for a customer? | Accountable subject or business owner |
This structure protects both colleagues and champions. It also prevents inconsistent advice from becoming an informal policy.
Run demonstrations that include review
Show the input, instructions, output and checking process. Include a limitation so participants understand what the demonstration does and does not prove.
For the hypothetical meeting-notes example, show how the draft preserves agreed actions but may confuse a suggestion with a decision. Demonstrate the review that catches the distinction.
Ask participants to try a synthetic example themselves. Observe what they find unclear, then improve the written procedure.
Microsoft's Copilot overview explains that experiences differ. Champions should demonstrate the approved environment their colleagues actually have.
Turn observations into shared learning
Use a compact experiment record: task, approved input, useful result, failure, correction and next decision. Review several records together to identify patterns.
Keep the process light. Champions should not spend more time maintaining an adoption dashboard than helping people understand useful work.
Recognise honest reports of unsuitable tasks. A discovered limitation can prevent wasted effort or a poor decision elsewhere in the organisation.
Do not rank champions by prompt volume or the number of colleagues persuaded to use AI. Judge whether their contribution makes approved work clearer, safer and more useful.
Give champions a useful monthly review
Hold a short review focused on three questions: which approved task helped, which limitation appeared and what support the group needs. Avoid turning the meeting into a competition for the most impressive demonstration.
In the hypothetical regional business, a champion might report that colleagues found the draft register useful but repeatedly misunderstood whether the tool could confirm action ownership. The response could be a clearer example, a revised review checklist and a reminder that the meeting owner confirms decisions.
Another champion might report that a task was unsuitable because the input could not be shared. Preserve that finding rather than treating it as an unsuccessful contribution.
Choose one improvement and assign an owner. If the issue belongs to a security specialist or business decision-maker, route it there and tell champions when they can expect guidance.
The review should also check capacity. Are questions interrupting ordinary work? Is one person carrying most of the support? Adjust the programme before useful enthusiasm turns into an unacknowledged service desk. Shared progress needs sustainable responsibilities as much as good ideas.
Allocate time and prevent hidden overload
Agree a realistic time commitment and a way to decline requests outside it. Managers should adjust expectations rather than adding the role invisibly to a full workload.
Rotate responsibilities and document useful methods so the programme does not depend on a single person. Make specialist support available when questions become difficult.
Review the role periodically. If the team needs formal training, technical administration or policy decisions, resource those functions instead of asking champions to absorb them.
Start by drafting a one-page role description with the purpose, boundaries, available time and escalation contacts. Invite people who can help others learn with sound judgement.
Explore PiOfAI, the AI procedure guide and leading without formal authority for the practical influence that makes a champion useful.
AI-assisted researched guidance from PeakBelt. Hypothetical examples are labelled in the text. See our editorial approach.