Enterprise AI: How to Prioritize Workflows for AI Pilots

Hosted by Paul Bryan

62 students

In this video

What you'll learn

Create a Cross-Functional AI Charter for Your Team

The AI Pod charter plans AI-specific roles and responsibilities for PM, Data Science, UX, and Engineering. Biz as needed

Analyze Workflow Friction for AI Readiness and ROI Potential

Structured approach for understanding which workflows are top candidates for AI automation

Construct Action Flows with Details from PM, DS, UX, and ENG

Action Flows are a deep dive into a thin slice of the proposed AI workflow experience from each role's perspective

Why this topic matters

Many Enterprise AI pilots stall because the organization builds before it resolves issues like cross-functional ownership, data quality, feasibility, and governance. The ability to vet AI-ready workflows is a valuable leadership skill. This session gives you a structured approach for assessing and prioritizing workflow automations that can justify the capital burn of an AI pilot.

You'll learn from

Paul Bryan

I help organizations design and develop AI products that deliver business value

I help organizations design and develop AI products that deliver real business value by producing international conferences, workshops, and in-house cross-functional working sessions. Since co-founding Experience Strategy Partners (ESP) in 2002, I have led product-related strategy consulting for marquee clients like The Home Depot, Coca-Cola, SAP, Lowe’s, Delta Air Lines, BNP Paribas, Philips, Cisco, GE, Macy’s, Bloomingdale’s, and IBM, among others.

My product strategy workshops have been hosted internally by some of the largest companies in the world, including Google, Meta, Microsoft, Netflix, LinkedIn, Mozilla, IBM, Booking.com, and many others. That work has consistently focused on one challenge: how cross-functional teams make good decisions together in complex environments.

Paul Bryan Workshops have been hosted by