Key takeaways
- An AI champion is an employee who already uses AI tools well and becomes the informal, trusted go-to for everyone else's questions.
- This works because most AI questions are small and immediate — "can I use this for a customer email?" — and a coworker down the hall answers faster than a policy document.
- Pick for curiosity and trust among peers, not seniority or job title — the best champions are often not managers.
- The role needs light structure — a small amount of protected time and a clear scope — or it quietly becomes unpaid extra work the person resents.
- With 80%+ of workers already using AI tools their employer never approved, a champion turns that invisible activity into something visible and safe.
Most small businesses already have an AI champion — they just haven't named the role yet. It's the person who figured out the chatbot two months before anyone else, who other employees quietly ask "hey, how did you get it to do that," and who's been fielding those questions in the hallway for free. An AI champions program takes that informal pattern and gives it a name, a small amount of protected time, and enough structure that it doesn't burn the person out or quietly disappear.
What an AI champion actually is
An AI champion is not an IT administrator, and it's not a manager assigned to "own AI" on top of an already full job. It's an employee — often not in a leadership role at all — who's naturally curious about AI tools, already uses them well in their own work, and other people already trust enough to ask a quick question. The program formalizes that trust relationship instead of leaving it to chance.
The champion isn't expected to know everything about AI, and shouldn't be treated as the sole source of AI policy. Their job is closer to a friendly first line of support: answer the easy questions, know when to escalate a harder one to whoever owns the actual policy, and notice when a coworker's use of a tool looks like it's drifting outside the rules. Think of the role as a translation layer between the written policy and the messy reality of a Tuesday afternoon, where the actual question someone has rarely matches the exact scenario a policy document anticipated.
Why this works better than top-down training alone
UpGuard's research, reported by Cybersecurity Dive, found that more than 80% of workers use AI tools their employer never approved. That number tells you something important: employees are already solving their own AI questions, just quietly and without any guardrails. A champions program doesn't fight that instinct — it gives it a safe outlet.
Training sessions and written policies are necessary, but they answer questions in the abstract, days or weeks before someone actually hits the real situation. A champion answers in the moment — "can I use this for a customer email right now" gets answered in thirty seconds by a coworker instead of sitting unresolved until the next training session, or worse, getting answered by guessing.
A champion doesn't replace your written AI policy — it makes people far more likely to actually follow it, because the person answering their question is someone they already trust.
Who to pick as your champion
Resist the urge to assign this to whoever has the most senior title, or to IT by default. The traits that make someone a good champion are different from the traits that make someone a good manager:
- Genuine curiosity. Someone who was already experimenting with AI tools before anyone asked them to, not someone assigned the role as an extra duty.
- Peer trust. Coworkers already feel comfortable asking this person questions without worrying about looking behind.
- Patience with beginners. The best champions enjoy explaining things twice. Someone who gets visibly frustrated with basic questions will shut down exactly the behavior you want to encourage.
- A role with some slack. Someone in a role so packed that a 20-minute question derails their whole afternoon isn't set up to succeed here, however curious they are.
In a very small company, one champion is plenty. Once you're past about 20 employees or spread across a few locations, consider one per team or per site — a single champion covering three time zones and four departments will burn out fast.
What the role actually does
| Responsibility | What it looks like day to day |
|---|---|
| Answer quick questions | Fields "can I use this for X" and "how do I get it to do Y" questions as they come up. |
| Share what works | Passes along a good prompt or use case to the rest of the team, informally or in a short weekly note. |
| Escalate the hard ones | Sends policy questions, data-sensitivity edge cases, and anything involving customer information to the actual policy owner. |
| Notice drift | Flags — without judgment — when a coworker's AI use looks like it's heading outside the approved tools or data rules. |
| Support training | Helps run the hands-on portion of training sessions, since peers often learn faster from a peer than from a slide deck. |
Notice what's not on this list: writing policy, approving new tools, or being on the hook for every AI decision in the company. Keeping the scope narrow is what keeps the role sustainable.
Getting started in your first month
Keeping the program alive past month two
Most informal programs like this fizzle for one of two reasons: the champion burns out because the role has no real boundaries, or the role quietly fades because nobody checks in on it after the initial announcement. Both are avoidable with small, deliberate maintenance.
- Protect the time. If the champion's actual workload never shrinks to make room for the role, it becomes resentment instead of enthusiasm within a few months.
- Keep them in the loop on policy changes. A champion answering questions with outdated information does more harm than no champion at all.
- Recognize it publicly. A short mention in a team meeting or a note from leadership goes a long way toward making the role feel valued rather than invisible.
- Rotate or add a backup. If your champion moves to a different role or leaves, have a plan for who picks it up — don't let the program disappear with one person.
Done well, a champions program becomes the connective tissue between your written AI policy and what actually happens day to day. The policy sets the rules; the champion is why people follow them.
Signs the program is actually working
It's worth checking in on the program deliberately rather than assuming it's fine because nobody's complained. A few concrete signs separate a champions program that's actually functioning from one that exists on paper only:
- Questions are coming to the champion, not around them. If people are still quietly guessing or asking whoever happens to be nearby, the role hasn't taken hold as the go-to yet.
- The champion escalates, rather than answering everything themselves. A good champion says "I'm not sure, let me check" on the hard questions. If every answer comes straight from them with no escalation, either the questions have all been easy so far, or policy edge cases are slipping through unreviewed.
- New hires get pointed to the champion during onboarding. If the role has really taken hold, it becomes part of how new employees are introduced to the company, not something they discover by accident three months in.
- The champion has actual bandwidth for it. If they mention feeling behind on their main job because of AI questions, that's an early warning to adjust the time budget before it turns into burnout.
A quarterly check-in with the champion — fifteen minutes, informal — is usually enough to catch small problems before they turn into the role quietly dissolving. Ask what's been coming up, what's been hard to answer, and whether the time they've been given still feels realistic. Treat that conversation as a genuine two-way check rather than a status update — the champion is often the first person in the company to notice a gap in the written policy, simply because they're the one fielding the question the policy didn't anticipate.
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FAQ
Does the AI champion need to be technical?
No. The most important trait is curiosity and peer trust, not technical skill. Someone who's genuinely comfortable experimenting with AI tools and enjoys explaining things is a better fit than the most technical person on the team.
Should the champion role come with extra pay?
That's a business decision, but it should come with something — protected time, public recognition, or another form of acknowledgment. A role with real responsibility and zero recognition tends to fade.
How many champions does a small business need?
One is usually enough under about 20 employees. Beyond that, or across multiple locations, consider one per team or site so no single person is stretched too thin.
What if our champion gives someone the wrong answer?
Build in a clear escalation path for anything involving customer data, legal questions, or edge cases the champion isn't sure about — the role is a first line of support, not the final word on policy.
How is this different from just training everyone well?
Training covers the basics in a single session; a champion covers everything that comes up afterward, in the moment, from someone the team already trusts — the two work together, not as substitutes for each other.
Sources
This guide is general information, not legal advice. Have a qualified attorney review any policy before you adopt it.