Kaizen + Agentic AI: The Enterprise AI Transformation Playbook

AI won't fix a broken process — it just helps you run it faster. That's the trap most organizations are walking into: pointing powerful agents at workflows that were never worth doing in the first place, and cementing the waste in place.

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 — he lays out a simple model for bringing AI to any process: three levels, Automate, Improve, and AI-Native Rebuild. Level one paves the cow path. Level two strips the waste with Lean before automating. Level three rebuilds the process from scratch around what agents can now do — and you can't earn it without doing level two first.

He's specific about what an AI-native process looks like in practice: work no human could do, running headless and multithreaded, an agent dropping into an API to do in half a second what a person never could. And he shares the design rule that's mattered most — have agents meet people where they already work, in Salesforce, Slack, or Teams, rather than building a new app nobody wants to learn. The argument is grounded in McKinsey's finding that workflow redesign is the single biggest driver of AI's bottom-line impact — and that only twenty-one percent of organizations have actually done it.

This opens a new arc — from individual fluency to transforming the operational workflows the enterprise runs on.

Two things to try this week included.