Skip to main content
Champions are the people who carry AI adoption forward after the training day. They’re nominated peers, not Kowalah staff, who help their colleagues turn what they learned into everyday use. This page explains what champions do and how leaders track them.

What a champion is

A champion is a participant marked as a peer leader for their group. On the roster they’re starred, and in the schedule you’ll often see a dedicated champion session where champions get extra context and a plan for supporting their team. Good champions tend to be respected within their team, genuinely interested in AI, and willing to have informal conversations rather than run formal training. They don’t need to be the most technical person in the room.

What champions do

  • Have peer conversations, the informal “have you tried this?” moments that drive real adoption
  • Surface and share use cases their team can reuse
  • Keep momentum going between formal sessions
  • Act as the first point of contact when a colleague gets stuck

Tracking champions

Champion activity is tracked so leaders can see who’s driving adoption. Each champion has:
FieldWhat it means
StatusUpcoming (newly nominated), Active (engaging their team), or Exemplary (standout activity)
Peer conversationsHow many colleagues they’ve helped one to one
Use cases sharedReusable use cases they’ve contributed
EngagementAn overall engagement score out of 10
You’ll see this in two places:
  • In Training reports, the Champions activity card lists each champion with their status, group, and stats. The Champions filter narrows the whole dashboard to champions only.
  • In Training in the platform, champions are flagged within their event.
Champion status and activity are most useful a few weeks after a training day, when you’re looking for who’s actually moving their team and where adoption needs another push.

Training reports

Where champion activity is summarised

Training overview

How champions fit the wider training flow