How Enterprise AI Teams Can Collaborate Earlier with AI Pods

Hosted by Paul Bryan

Fri, Mar 27, 2026

4:00 PM UTC (30 minutes)

Virtual (Zoom)

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Align Before You Automate: Vetting High-ROI Enterprise AI Workflows
Paul Bryan
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What you'll learn

Structure AI Core Team Earlier

Learn how mixed teams collaborate early to evaluate AI opportunities before committing engineering effort.

Clarify Cross-Functional AI Roles

Align PM, UX, DS, and ENG at a detailed level before major investment

Vet and Prioritize Workflows with High Potential ROI

Use the AI Pod framework to identify workflow automation opportunities that can realistically scale.

Why this topic matters

Enterprise AI initiatives often stall or die in pilot because the team structure and role expectations were not clarified early enough. In many organizations, AI work is layered onto product teams that were designed for websites and apps. That often creates confusion about feasibility, responsibility, timing, and decision ownership. AI Pods solve this by addressing complex challenges early.

You'll learn from

Paul Bryan

Product Strategy Workshop Leader at Google, Meta, Netflix, LinkedIn and more

Paul Bryan is the founder of STRAT and has spent more than a decade in conversation with product leaders, designers, technologists, and enterprise teams navigating major shifts in product strategy.


Through that work, and through ongoing exposure to some of the most advanced AI teams in the world, he has been observing a new collaboration pattern emerge inside enterprise AI initiatives. At STRAT, this structure is described as the Enterprise AI Pod.


In this session, Paul will share the framework, explain the evolving role of the AI Experience Architect, and show how role charters can help teams adapt their collaboration model earlier in the process.

STRAT Conferences in Asia, Europe, USA

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