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AI Adoption

What Is an AI Champion and What Do They Actually Do?

AI Champions are the human infrastructure that turns AI strategy into daily practice - here is how to define the role, choose the right people, and measure whether it is working.

Prof. Dr. René Bohnsack·Co-Founder, Zeroto100
April 5, 20264 min read
In short

An AI Champion is a trusted, business-savvy employee who sits between AI strategy and hands-on use. They identify real use cases in their area, support colleagues directly, and feed insights back to leadership. They are not IT specialists or enthusiasts - they are respected practitioners who make AI relevant to the people around them.

The gap most AI programmes fall into

Most organisations launch AI with strong top-down intent - executive buy-in, a licence rollout, a training session. Six months later, usage is shallow and uneven. A few teams have embedded AI into how they work. Most have not.

The gap is not a technology problem. It is a translation problem. Strategy stays at the top. Tools live at the bottom. Nobody in the middle is making AI real for the people doing the actual work. That is the gap an AI Champion fills.

Who an AI Champion actually is

An AI Champion is not an IT specialist. They are a respected employee in a business unit - customer service, finance, operations, HR - who colleagues already trust and turn to when they need help.

They share three characteristics that matter more than technical skill:

  1. Strong domain expertise - they understand their team's work well enough to spot where AI genuinely changes an outcome, not just where it looks impressive in a demo.
  2. An early adopter mindset - curious, willing to experiment, and comfortable sharing what did not work alongside what did.
  3. Communication and influence - they can make AI feel accessible to a sceptic without making that person feel behind. A soft skill, and the hardest to find.

The best Champions are often mid-level employees close to operations - not the most vocal AI fans, and not always the most senior people in the room.

What they do in practice

An AI Champion's responsibilities span four areas:

Use Case Development

Identifies, tests, and documents AI use cases specific to their function.

e.g., Maps a 3-step AI workflow for weekly reporting that saves the team 2 hours

Peer Support

Runs micro-trainings, office hours, and one-to-one help for colleagues.

e.g., Hosts a 30-minute 'show me how you did that' session after each new tool rollout

Responsible Use

Models good judgment - when to use AI, when not to, and how to verify outputs.

e.g., Creates a one-page guide on what not to share with external AI tools

Feedback & Measurement

Tracks adoption metrics and reports ground-level insights back to leadership.

e.g., Runs a monthly 5-question pulse survey on AI confidence and usage

The Zeroto100 platform identifies your Champion candidates automatically - and tracks their impact over time.

How to choose your Champions

Selecting the right people is where most programmes go wrong. Asking for volunteers surfaces enthusiasm - not capability. The employees who raise their hand are often the most vocal about AI, not the ones with the deepest process knowledge or the strongest peer influence in their team.

The right selection criteria are:

  • Strong domain expertise in their function
  • Early adopter mindset - curious, experimental, willing to share failures
  • Good influence and communication skills with peers
  • Reliable and organised enough to take on a structured responsibility

Distribution matters as much as individual criteria. Champions should span functions and locations - not cluster in one team. A useful structure mixes senior sponsors who have organisational authority with mid-level doers who are close to the actual operations.

The most reliable identification method is data. When employees complete an AI Readiness Assessment, Champion candidates surface through their scores - specifically, high AI Mastery and Co-Intelligence scores combined with strong domain knowledge signals. This removes the bias of self-selection entirely.

What it takes to enable them well

Identifying Champions is only the beginning. The role fails without proper enablement:

  • A clear mandate and protected time - typically 10-20% of their workload, not added on top of it.
  • Training on both AI fundamentals and the specific tools their organisation is deploying.
  • Ready-to-use materials: use-case cards, prompt libraries, playbooks they can adapt for their team.
  • A community: regular Champion calls, a shared workspace, a channel for questions and wins.
  • Recognition that makes the role worth doing - visibility to leadership, career benefits, and an internal brand that signals expertise.

Without these enablers, even the best Champions burn out or quietly deprioritise the role when it competes with their day job.

Frequently Asked Questions

Identify Your Champions. Activate Them. Measure the Impact.

The Zeroto100 AI Readiness Assessment surfaces Champion candidates through data - and gives you a dashboard to track adoption, fluency, and impact across your workforce.

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