Staging environment

Enterprise AI: Protect Expertise Using the Cynefin Framework

Hosted by Paul Bryan

70 students

In this video

What you'll learn

Map recurring decisions to the four Cynefin domains

Classify your team's top 20–30 workstreams by epistemic complexity: Clear, Complicated, Complex, Chaotic

Assign the appropriate AI role to each domain

Allocate AI resources according to Cynefin domain: Automate, Augment, Human-Led Co-Pilot, Restricted/Alert

Rebuild the junior learning pathways automation severs

Design Shadow Runs and augmented review gates so junior talent builds the mental models that lead to senior judgment

Why this topic matters

Research has proven that automation depletes expertise your company depends on. Workflows capture steps, not judgment, and the routine tasks AI absorbs are exactly where junior staff learn to handle complex cases. Cynefin reapplied to Enterprise AI gives leaders a sense-making mechanism for deciding what AI should own, what it should assist, and where humans should stay in command, before a crisis exposes the gap.

You'll learn from

Paul Bryan

Product team leadership training at Netflix, Google, Meta, Linkedin, Booking.com

The race is on. Teams are stumbling over the vast difference between AI product design/development and previous web site and app collaboration models. I teach PM's, Data Scientists, UX, and ML ENG how to organize a cross-functional AI Pod that aligns deeper and earlier. I also help individuals train to lead AI Pods in your organization.

Since co-founding Experience Strategy Partners 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.

My product strategy workshops have been hosted internally by Google, Meta, Microsoft, Netflix, LinkedIn, Mozilla, IBM, Booking.com, and more. The focus: help cross-functional teams align on strategy.

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How to Safeguard Human Expertise in AI Workflow Automation
Paul Bryan
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