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.