HeyJaredAI Transformation Lab
The way work gets done is changing.The AI Transformation Lab Podcast explores the shift from generative AI to agentic AI — where intelligent systems move beyond responding to prompts and begin executing real work.Hosted by Chris Bradley, Chief Marketing Officer at Veritiv,…
- Indexed episodes, last 90 days
- 7
- Latest publication
- Sep 28, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 6, 2026
Latest episodes
Charting the Path to an AI-Native Operation (opens the original)
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The episode opens on hoshin kanri, the Japanese practice documented by Bridgestone in 1965: leadership sets a fixed direction, and the people closest to the work discover the path. Lean calls that direction True North, and distinguishes two speeds of moving toward it — kaizen, continuous improvement, and kaikaku, radical change.
AI Standard Work (opens the original)
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Chris Bradley argues that distinction now decides whether an enterprise AI program compounds or stalls. Ohno's rule was that without a standard there can be no kaizen. The AI version is stricter: you cannot automate a process that was never standardized, because there is nothing for the agent to execute. Most failed pilots, he suggests, are operations problems that AI happened to expose.
Jidoka for Agents: Building AI That Knows When to Stop (opens the original)
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Sakichi Toyoda's breakthrough was not a loom that could handle a broken thread. It was a loom that noticed the thread had broken and stopped itself — which meant one operator could run dozens of machines instead of standing guard over one. That principle became jidoka, and Chris Bradley argues it is the most useful idea available to anyone deploying AI agents in an enterprise today.
Context, Loops, and Graphs (opens the original)
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Chris Bradley argues the churn is hiding something worth understanding. Those terms don't replace each other; they stack. And each one names a layer of the same discovery: that the model is not what separates an AI program that works from one that doesn't.
The ROI Reckoning (opens the original)
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Chris Bradley takes on the number that reset the enterprise AI conversation — a widely-cited MIT study finding 95% of pilots delivered no measurable return — and locates the real cause. Much of what is sold as agentic AI is generative AI wearing an agent title. It advises. A person still completes the work. And the promised time savings were never structurally possible.
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