Running an AI Champions Program

Enablement and program leads learn to stand up and run an internal AI champions network. The course covers selecting champions, enabling them, building community, running feedback loops, and scaling. Learners finish able to grow grassroots AI capability across the org.

What this course covers

The course runs across 8 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Defining the Program Vision and Pitching Stakeholders — Establish the business case for an AI champions network. Practice pitching executive sponsors and department heads to secure resource allocation and buy-in.
Selecting and Recruiting the Right Champions — Define selection criteria beyond technical skills, identify grassroots enthusiasts, and navigate manager approval conversations to recruit your initial cohort.
Designing the Enablement and Upskilling Pathway — Structure a curriculum that balances technical AI literacy, prompt engineering, and change management skills for your champions.
Fostering Community and Engagement — Build an active community hub, design engaging rituals (e.g., show-and-tells, hackathons), and maintain momentum when champions face competing daily priorities.
Establishing Feedback Loops and Value Tracking — Set up mechanisms for champions to funnel user pain points back to IT/AI product teams, and practice measuring and reporting the business impact of the program.
Handling Resistance and Champion Burnout — Navigate common friction points, such as managers complaining about lost productivity or champions losing motivation, through simulated coaching conversations.
Scaling the Program and Decentralizing Governance — Transition from a centralized pilot to a federated model, empowering regional or departmental leads to run their own sub-chapters of the AI network.
Capstoning the Network: Graduation and Recognition — Design reward and recognition systems that elevate champion visibility, align with career progression, and cement the network as a permanent organizational asset.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Employee Advocacy Programs, AI Project Leadership, AI Transformation, Facilitator Network Management, AI Strategy.

Employee Advocacy Programs
AI Project Leadership
AI Transformation
Facilitator Network Management
AI Strategy

Who it is for

Enablement, program leads. The material is pitched at intermediate level, and takes roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Adoption & Leadership track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including role play, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

All AI Leadership training courses →
Leading Teams Through AI Adoption — People managers and team leads learn to guide their team through adopting AI in daily work. The course covers setting vision and expectations, redesigning workflows, coaching, addressing fear, and building momentum. Participants finish able to turn AI from a curiosity into a habit on their team.
Running Effective AI Pilots — This course turns AI experimentation into disciplined pilots: tight scope, defined metrics, and honest go/no-go readouts. Learners design a pilot plan for a real use case in their org.
Navigating AI Job-Change Anxiety — A candid course for leaders on the human side of AI adoption: acknowledging real change, holding honest role conversations, and building reskilling paths. Learners practice the hard conversations in role-play.
Board-Level AI Literacy — Governance-grade AI fluency for boards and the C-suite: enough technical grounding to oversee strategy and risk credibly. The course centers on the questions directors should ask and the answers that should worry them.
AI Vendor & Tool Selection — A practical procurement course for AI tooling: evaluation criteria, security review, structured bake-offs, and pricing traps. Learners build a reusable vendor scorecard.
AI Adoption Leadership Assessment — Measures whether a leader can identify use cases, plan a pilot, set guardrails and judge results.
AI Enablement & Train-the-Trainer — Build and run internal AI training

Frequently asked questions

How long does this course take?

It runs roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code ADO-CHAMP.