
Clustr helps companies set up AI champions programs: a core group of respected operators, trained deeper on your real work, meeting in weekly working office hours, building workflows their teams actually use. Progress is baselined and re-measured with SINA, our AI literacy platform, so leadership can see adoption spread.
Clustr Innovations helps companies set up AI champions programs as part of its human-first AI enablement work. We help you pick respected operators from each team, train them on your real work, run weekly working office hours where they build workflows, and measure the spread with SINA, our AI literacy platform.
An AI champions program builds AI capability into a core group of trusted people inside each team, then lets it spread peer to peer. It works because colleagues trust colleagues. A salesperson who watches a peer cut an hour out of meeting prep will try it faster than they will follow any mandate.
Champions are not a side project for volunteers. They need deeper training, protected time, a regular working rhythm, and a way to show leadership what changed. That structure is what Clustr sets up with you.
Naming champions is easy. Keeping them effective past the first month is where most programs break.
The first volunteers are often the people already excited about AI. The best champions are the respected operators others copy, including a few healthy skeptics.
Champions are asked to help their teams without being taught much more than everyone else. They need a deeper track on workflows, agents, and governed use to stay ahead.
Without a standing working session, the champions channel goes quiet. Weekly working office hours, where real deliverables get built and shipped, keep the group producing.
Champions carry a day job too. Without leadership backing, protected time, and a place to take hard questions, they burn out and adoption stalls with them.
Champions are usually built inside a broader enablement program, which typically runs about 90 days from baseline to measured adoption.
Together we choose respected operators from each team, balanced across roles and levels, with a sponsor in leadership who can protect their time.
Champions and their teams take a SINA readiness assessment, so everyone starts from evidence and champions know where their colleagues actually stand.
Champions go past fluency into role-based workflows, agents, and automation on the platforms you already license, inside your governed environment.
Champions meet weekly to build real workflows for their own teams. Deliverables get built in the session and shipped to the rest of the team.
Champions carry workflows peer to peer while SINA re-measures fluency. Playbooks are documented so the program keeps running after we leave.
The two get confused, and most companies eventually want both. Here is how they differ and how they fit together.
| AI champions program | AI Center of Excellence | |
|---|---|---|
| What it is | A network of trusted people inside each team who drive daily use | A small cross-functional team that sets AI strategy and standards |
| Who is in it | Respected operators from sales, finance, operations, and other teams | A lead, a training specialist, and someone with governance and security expertise |
| What it owns | Workflows, peer coaching, and adoption inside each team | Governance, tool evaluation, training programs, and best practices |
| How it spreads AI | Peer to peer, by showing results on real work | Top down, through policy, playbooks, and approved tools |
| How they fit | Champions surface what works and what is blocked | The CoE turns that into standards and supports the champions |
Every engagement is baselined with SINA, our AI literacy platform, and re-measured as the program runs. Leadership sees fluency by role, usage over time, and where to invest next.
AI adoption · pilot to daily use · 90-day program
Baselined with SINA, re-measured at week 12. Adoption is the deliverable.
Champions work in the tools your company already licenses. We train them on Copilot, ChatGPT Enterprise, Claude, or Gemini, and on the governed setup around each.
For a 150-person data consulting firm, we led ChatGPT and Microsoft Copilot training across the whole organization and helped establish an AI Center of Excellence to drive ongoing adoption and governance. At Cresa, a leading North American commercial real estate firm, an AI fluency and workflow enablement program turned a ChatGPT Enterprise rollout into working daily workflows, baselined and measured with SINA. At Forvis Mazars, CPE-accredited workshops trained 300+ professionals on Microsoft Copilot.
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Updated September 2026
A champions program builds AI capability into a core group of respected people inside each team, who meet in weekly working office hours, build real workflows for their own work, and spread them peer to peer. It is the most reliable adoption mechanism we have seen, because trust between colleagues moves faster than any mandate.
Clustr Innovations, a human-first AI enablement consultancy, sets up champions programs as part of its enablement work: selecting champions, training them deeper on your real work, running weekly working office hours, and measuring progress with SINA, our AI literacy platform. The goal is a program your team can run without us.
Pick the people others already copy, not only the AI enthusiasts. Aim for coverage across teams and roles, include a few thoughtful skeptics, and make sure each champion has a leader who will protect their time. Curiosity and credibility matter more than technical skill.
Enough for a standing weekly working session plus time to help their colleagues. The exact amount depends on your teams and goals, and we scope it with you. What matters most is that the time is protected and recognized as part of the role, not squeezed in after hours.
No. Many companies start with champions because they create visible wins quickly, then formalize a Center of Excellence to own governance, tool evaluation, and standards. The two work best together: champions show what works on the ground, and the CoE turns it into policy and support.
With SINA, our AI literacy platform. Champions and their teams are baselined before the program and re-measured as it runs, alongside usage and workflow metrics. Leadership sees fluency by team and where adoption is spreading, not just who logged in.
It is scoped to the number of teams and champions, how deep their training goes, the platforms involved, and how long we support the office hours. Pricing comes out of a short briefing where we map your teams and recommend a scope.
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