Design AI Workflows You Can Trust

Hosted by Mike Wheeler

220 students

In this video

What you'll learn

Diagnose why AI adoption erodes trust

Spot how mixed signals, unclear ownership, and fear of replacement undermine adoption.

Evaluate why bans and over-delegation both fail

See how reactive policies create new risks instead of reducing them.

Design adoption decisions before automation begins

Reframe AI adoption as workflow design with explicit delegation, escalation, and accountability.

Why this topic matters

AI adoption often swings between banning tools and over-delegating to them. Both approaches erode trust and slow progress. Leaders feel pressure to move fast while employees fear replacement. This session explains why trust breaks during adoption and introduces Agent Sense: the judgment required to design delegation, escalation, and accountability before automation begins.

You'll learn from

Mike Wheeler

AI educator and O’Reilly author focused on accountable agent workflow design

I help organizations adopt AI responsibly by designing judgment, accountability, and real workflows before tools enter the picture. I have trained hundreds of thousands of professionals through O’Reilly, Salesforce, edX, and LinkedIn, and my work focuses on building agent-enabled systems that augment people rather than replace them.

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