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The AI Tech Lead Path
The path
139 min read · 150 XP

The operating model across teams & BUs

Hub-and-spoke: centralize standards, decentralize the building.

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Don't try to be personally present in every team — you'll become a bottleneck (the classic failure). Run a federated “Center of Enablement” model.

Key ideas

  1. 1

    Hub (you + maybe 1–2 people): build the paved road (gateway, templates, eval harness, reference architecture), set standards, own governance, run the guild.

  2. 2

    Spokes (AI champions): one upskilled, empowered engineer per team does the day-to-day. This is how you scale across BUs without cloning yourself.

  3. 3

    A cross-BU community of practice (biweekly guild) is your main scaling lever.

  4. 4

    Paved road > policing: make the compliant, high-quality path the EASIEST path — people follow defaults, not documents.

  5. 5

    Operating principle: centralize the standards and platform; decentralize the building.

Hub-and-spoke (Center of Enablement)

A small hub builds and owns the paved road and standards; embedded AI champions in each team build day-to-day and multiply your reach. A biweekly guild shares patterns, demos and decisions across BUs.

Why this beats centralizing everything

  • Avoids the #1 failure mode: becoming the bottleneck on every AI feature.
  • Champions give you eyes, hands and trust inside teams you don't manage.
  • Defaults (paved road) drive behavior far more reliably than policy documents.

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Test yourself

Question 1 / 3

What's the core operating principle of the model?

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