AI Adoption & Change

AI Champions & Center of Excellence Enablement

Champion networks hold together when mandate, protected capacity, coaching routes, reusable assets, and escalation boundaries belong to named owners and face regular review against the support work teams actually bring.

Champions may already be answering questions between their regular duties. When requests grow, unclear authority and unprotected time become the operating problem. We define the mandate, capacity, coaching rhythm, reusable assets, escalation routes, and contribution review. At handoff, the program owner has a champion-role charter, coaching cadence, escalation path, reusable templates, and contribution scorecard that managers can operate without private context.

Review your champion modelSee corporate AI training
Illustration of AI Champions & Center of Excellence Enablement: a team designing behavior-change plans for AI adoption

Some of the 500+ brands we've worked with

See all references
  • EY
  • Acıbadem Sağlık Grubu
  • Arabam.com
  • Little Caesars
  • Capital Dergisi
  • Bluemint
  • Yatsan
  • Amazon
  • BMW
  • Shell
  • Hyundai
  • PepsiCo
  • Red Bull
  • Decathlon
  • MediaMarkt
  • Bayer
  • Sanofi
  • KPMG
  • GE
  • 3M
  • Domino’s
  • Lexus
  • Trendyol
  • Hepsiburada

The run order, and who signs each step off

How we work

We design the network around recurring support work, named authority, available capacity, and the point where a champion must hand a case to a specialist or accountable owner.

  1. Mandate comes before activity

    We clarify what champions, managers, sponsors, and the Center of Excellence own, where their authority stops, and how much capacity the model needs. Your program owner decides where champion authority stops.

  2. The rhythm follows support demand

    We shape onboarding, office hours, peer exchange, workflow coaching, reusable-asset review, and escalation around the needs of target teams. Managers confirm the cadence solves a genuine support need before it goes live.

  3. The kit works without private context

    We prepare role guides, coaching prompts, support routes, templates, and contribution records that the network can maintain. A named champion reviews the kit before it goes live.

  4. Contribution informs the next review

    We define how to review coaching reach, reusable assets, escalations, workflow support, and observed contribution without rewarding activity alone. Your program owner decides which contribution signal matters most.

Named artifacts you keep

What you get

A new champion can understand the role without private context. Managers and program owners also receive the cadence, escalation record, reusable material, and contribution evidence needed to run it.

  • Playbook

    Champion roles, mandate, and escalation charter

    Role definitions, mandate, onboarding, capacity assumptions, manager expectations, and escalation boundaries.

  • Curriculum

    Coaching cadence and specialist-handoff plan

    The cadence for onboarding, office hours, peer exchange, workflow coaching, and specialist support.

  • Workshop record

    Escalation-routing and reusable-template log

    Templates and records for sharing approved practices, routing difficult cases, and capturing what teams need.

  • Dashboard

    Contribution scorecard and review-rhythm map

    Definitions and review points for coaching, reuse, support, escalation, and workflow contribution.

Scope and honest limits

When to bring us in

Questions already reach the helpful people in the organization. Those people may still have no protected time, clear authority, or dependable route for cases that belong with a specialist.

A good fit when

  • Different teams expect different things from champions, while managers have not protected time for the role.
  • The Center of Excellence publishes guidance, but difficult cases do not move through a dependable coaching and escalation route.
  • Community activity and reused assets are counted, yet the review cannot show which workflow received useful support.
  • Champion, manager, sponsor, and Center of Excellence roles were never written down, so two people can each assume the other owns an escalated case.
  • Onboarding, office hours, peer exchange, and workflow coaching run whenever a champion has spare time, but no cadence says when to expect them.
  • Role guides and coaching prompts live in one champion's head, until that person moves on and the network has to relearn what they knew.
  • Coaching reach and reuse counts get reported every quarter, yet nobody can say which supported workflow actually improved.

Better handled as other work when

  • You want volunteers to carry the adoption work without any manager-protected time. That capacity decision belongs to your leadership, not to this operating design.
  • You want the Center of Excellence to decide every local workflow question itself. Local teams keep that authority, and the network only routes the hard cases upward.
  • You want contribution targets set before anyone has measured a baseline. A number chosen without that baseline is a guess dressed up as a target.

If one of these is closer to your situation, start here instead: See corporate AI training

Your trainers build AI for a living

The people who run our training build and operate AI systems the rest of the week, so the material comes from work we've shipped. Zeo has been around since 2011 and runs the Digitalzone conference community, which keeps us close to how teams across the industry are picking these tools up.

Content we've produced on this topic

Articleby Samet ÖzsüleymanPredictions and Survey Results on the Future of Generative AIVideoby Yiğit KonurAl-Based New Generation Working Culture | Yiğit Konur, Founder at Wope

Tools we use

Tools behind this work

  • Anthropic

    one of the model platforms champions field real questions about day to day

  • Google Gemini

    the second in-use model platform the champions program has to cover as well

  • n8n

    automates escalation routing so requests past a champion's scope reach the right owner

  • Datadog

    tracks support-request volume over time, the evidence cadence gets checked against

  • Jupyter

    runs the contribution-review analysis linking champion activity to actual reuse

Next step

Put clear boundaries around champion work

Show us which requests reach champions, how much time managers can protect, and where difficult cases go. That is enough to scope a mandate and review rhythm the named owners can sustain.
Discuss the champion model

Before you decide

Questions we hear a lot

What should an AI champion own?

The exact remit depends on your operating model. A champion may support local workflow practice and route questions. They may also share approved assets and surface barriers. Policy approval, security review, and ownership of every AI issue remain with the roles assigned to those decisions.

Do we need a formal Center of Excellence?

A formal Center of Excellence isn't required in every organization. A smaller network can work when its mandate, capacity, coaching, escalation, and specialist access are clear. The structure should follow your support demand. Another company's label tells you very little.

How can contribution be measured?

Useful evidence may include coaching reach, reuse of approved assets, resolved escalations, supported workflow changes, and manager feedback. We select the set against the contribution the network is expected to make, then keep activity counts separate from workflow evidence.

What inputs help you design the program?

We need current champion roles, community cadence, workflow-coaching expectations, escalation routes, reusable assets, contribution evidence, manager capacity, accountable owners, and representative support cases.