AI TRAINING
Building an AI Champion Network in a Small Team
Turn scattered AI experiments into a self-sustaining practice by empowering internal champions across your SME.
What it covers
This programme equips operations leads and team managers in SMEs with a practical framework to identify, activate, and sustain AI champions across departments. Participants learn how to design lightweight governance, build a shared prompt library, and run monthly demo rituals that spread adoption without adding bureaucracy. The format combines two half-day live workshops with a 30-day peer challenge, so learning is embedded into real work. By the end, teams have a measurable diffusion map showing how AI usage is spreading across the organisation.
What you'll be able to do
- Select and brief at least two AI champions per department using a structured criteria checklist.
- Draft a one-page AI governance charter covering acceptable use, data handling, and escalation paths.
- Set up and populate a shared prompt library with at least ten validated, team-specific prompts.
- Facilitate a monthly AI demo session following a repeatable agenda that surfaces measurable wins.
- Track and visualise cross-team AI diffusion using a simple adoption scorecard updated monthly.
Topics covered
- Criteria and process for selecting AI champions per team
- Designing a lightweight AI governance charter for SMEs
- Building and maintaining a shared prompt library
- Running effective monthly AI demo sessions
- Recognition and incentive mechanics for champions
- Measuring cross-team AI diffusion with simple metrics
- Handling resistance and scepticism in small teams
- Scaling champion networks as headcount grows
Delivery
Delivered as two half-day live sessions (remote or on-site) separated by a 30-day peer challenge period. Each session is highly interactive: participants map their own team, draft real artefacts (champion brief, prompt library template, governance charter), and present back. A shared online workspace (Notion or equivalent) is provided for the challenge period. Hands-on activities account for roughly 70% of session time. A facilitator check-in call is included mid-challenge.
What makes it work
- Giving champions visible recognition and a protected time budget (even 1–2 hours per week) signals organisational commitment.
- Anchoring the programme to a real business pain, faster customer responses, reduced manual reporting, maintains momentum.
- Monthly demo rituals with a consistent format create psychological safety and a healthy competitive streak across teams.
- Leadership participation in at least one demo session per quarter demonstrates that AI adoption is a strategic priority.
Common mistakes
- Appointing champions without reducing any of their existing workload, causing quick burnout and disengagement.
- Building a prompt library without a curation process, leading to outdated or low-quality entries that undermine trust.
- Skipping governance entirely in the early stages, then scrambling to retrofit rules after a compliance incident.
- Measuring success only by tool adoption rates rather than by actual workflow changes and time saved.
When NOT to take this
This programme is the wrong fit for a company where leadership has not yet decided to invest in AI adoption, without executive sponsorship, champion networks collapse within weeks regardless of how well participants are trained.
Providers to consider
Sources
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.