
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, this show is built for leaders, builders, and operators who want more than better AI responses — they want measurable outcom... more
| Publishes | Twice monthly | Episodes | 15 | Founded | 7 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyNewsTech News | |||

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 princ... more
The vocabulary of agentic AI has turned over five times in about eighteen months — prompt engineering, context engineering, harness engineering, loop engineering, and now graph engineering. For a business leader, the reasonable reaction is to tune it... more
Most AI programs cannot prove they paid off. That is the trap this episode is built to help you avoid — a portfolio of pilots that all demo well, and nothing you can defend when the budget review comes.
Chris Bradley takes on the number that reset t... more
The cheapest AI model is often the most expensive. That is the trap this episode is built to help you avoid: sending routine work to a frontier model, or cheap work to a model that fails and hands the mess to a person, and paying for both mistakes on... more
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Some of the best concise explanation I’ve heard to date. Thank you for sharing this valuable content.
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Apple Podcasts | #33 |
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The show centers on the shift from generative AI to agentic AI, emphasizing how intelligent systems can execute real work rather than just respond to prompts. Episodes frequently explore practical playbooks, governance, and mindset changes needed for enterprise-scale AI adoption, with a strong focus on measurable outcomes, accountability, and preserving human judgment. Notable strengths include a consistent emphasis on redesign-before-prompt principles, Kaizen-inspired process improvement, and the idea of AI as an execution engine rather than a mere tool. This makes it useful for leaders and practitioners seeking actionable frameworks to improve productivity, governance, and scale in knowledge-work environments.
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AI Transformation Lab launched 7 months ago and published 15 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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