How to Pick AI Champions Inside Your Company (Without HR Drama)

When a founder of a 50-person marketing team asked me how to roll out AI without creating silos, I realized the key lies in picking the right champions — not just the usual suspects.

1. Look Beyond Technical Skills

While technical proficiency is helpful, prioritize employees who:

• Show curiosity about improving workflows
• Are natural collaborators and enjoy sharing knowledge
• Have a track record of adopting new tools effectively

2. Involve Managers Early

Ask managers to nominate team members who:

• Demonstrate initiative
• Are trusted by peers
• Have a positive influence on team culture

3. Test During Small Pilots

Run a short AI pilot (1–2 weeks) and observe who:

• Experiments creatively with tools
• Takes initiative to train others
• Documents their learnings for the team

4. Rotate Champions Across Departments

To avoid silos, ensure champions:

• Work across teams
• Share insights in company-wide forums
• Are rewarded for collaboration, not competition

Tool tip (Course for Business): Our 5-day AI training program equips champions to automate workflows without code. See how we design shoulder-to-shoulder learning for teams: https://course.aiadvisoryboard.me/business

Manager Scan (What AI Champions Report After Week 1)

• Identified 3–5 workflows ripe for automation
• Created shared prompt templates for their team
• Hosted a 30-min knowledge-sharing session
• Documented time saved for future ROI tracking

Micro-case (What Changes After 7–14 Days)

A typical 50-person SaaS team picked three AI champions — one from sales, one from support, and one from ops. Within two weeks, they:

• Automated repetitive tasks (email follow-ups, ticket triage)
• Built a shared knowledge base of AI use cases
• Reduced time spent on manual reporting by 30%

FAQ

How many AI champions should I pick? Start with one champion per 15–20 employees. Ensure representation across key functions.

What if someone feels left out? Frame champions as facilitators, not gatekeepers. Encourage everyone to participate in training sessions.

How do we compensate champions? Monetary rewards work, but recognition (e.g., public praise, leadership opportunities) often motivates more.

Can champions backfire? Yes, if they hoard knowledge. Counter this by emphasizing shared success and transparent reporting.

What tools do champions need? Access to AI platforms like Copilot, ChatGPT, or Claude, plus time to experiment and document workflows.

Choosing AI champions isn't about picking the smartest person in the room — it's about empowering those who enjoy helping others grow. If you want every employee to ship their first AI automation in five days — book a 30-min call and we'll map your team's first week: https://course.aiadvisoryboard.me/business.