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 outcomes and competitive leverage. Each episode breaks down the inflection point happening in AI right now: The move from prompt-response tools to outcome-driven systems What agentic AI means for productivity, strategy, and scale How to direct intelligent systems responsibly and effectively The mindset shift required to operate at the next level This isn’t about hype or surface-level trends. It’s about capability. If you want to understand where AI is actually heading — and how to lead in that future — start here.
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Signup to Generate a PitchThe 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.
Recent episodes include "Respect for People" (26 October 2026, 17 minutes), "Just-in-Time for Agents" (13 October 2026, 19 minutes), and "Charting the Path to an AI-Native Operation" (28 September 2026, 23 minutes).
AI Transformation Lab publishes roughly every two weeks, with episodes averaging 23 minutes.
Booking probability for AI Transformation Lab is 30%, and the host is rated Selective on guests. AI Transformation Lab requires a Pod Score of 80 or higher. AI Transformation Lab's contact route on record: verified email.
The strongest fits for AI Transformation Lab are IT Services & Software Development. AI Transformation Lab has a business audience.
AI Transformation Lab is a business podcast.
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This episode starts in Fremont, California. A GM plant known as one of the worst in its system reopened under Toyota with largely the same workforce, and within a few years it was building some of GM's best cars. Same...
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This episode starts in a supermarket. In 1956, Taiichi Ohno saw shelves that were never piled high — restocked only as customers took what they needed. The customer pulled. The store replaced. That became just-in-time...
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...
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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...
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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...
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In this episode, Chris Bradley makes sense of a landscape that shifted fast in June and July. A new most-capable model. A family that ships in three deliberate sizes. And a wave of open-weight models from the US and...
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In this episode I turn that gut check into a decision you can defend. The key is a better question — not “should we build or buy?” but “how much orchestration does this work actually need?” That question sorts every AI...
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Most teams look at a slow process and ask one question — can AI do this faster? It’s the wrong first question. The better one is harder: should this work exist at all? In this episode I borrow a seventy-year-old lens...
In this episode, Chris Bradley makes the case that Continuous Improvement is the non-negotiable core of agentic AI. Recorded from Veritiv's Customer Service center in Jacksonville — the day before a three-day Kaizen —...
This episode is about the fix — building a portable layer of identity, memory, and skills that travels with you across every environment. I call it your Agentic DNA. A small set of files you own, that capture the...
In this episode, I walk through the seven capabilities that define Codex now — full file access, persistent memory, plugins, skills, GPT Image 2.0, browser and computer use, and automations — and where each one actually...
The big three AI labs are all building superapps — but each is packaging them differently. Google blurs everything together inside Antigravity. OpenAI is consolidating into Codex. Anthropic took a third path: three...
In Episode 1, I mentioned a competitive analysis I ran in thirty minutes that would have taken two weeks. A global network analysis — fifty-plus competitor locations, fifteen manufacturing hubs, proximity calculations...
Most AI tools know the internet. NotebookLM knows your sources. That distinction sounds small. It isn't. When you're doing serious research — regulatory analysis, competitive intelligence, executive briefing prep — the...
In Episode 3, Chris Bradley introduces a three-habit framework built for continuous AI fluency: the AI Pulse, a monthly calibration that keeps your mental model of AI's capabilities current; the Workflow Lab, a weekly...
The gap between AI users who've adapted to 2026 capabilities and those still using 2024 techniques is creating a significant productivity divide and the difference isn't about being smarter, it's about understanding...
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In this episode of the AI Transformation Lab Podcast, host Chris Bradley, Chief Marketing Officer at Veritiv and head of the AI Transformation Lab, explores the fundamental shift from generative AI to agentic AI and why...
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