The blog post

How should organizations think about using AI in Kaizen and continuous improvement? In this AudioBlog, Mark Graban argues that there are no clear answers yet—and that uncertainty is exactly why AI should be approached through small, disciplined PDSA cycles rather than big bets or hype-driven rollouts.

Instead of treating AI as an expert or decision-maker, Mark frames it as a thought partner—a tool that can support brainstorming, reflection, coaching feedback, and clearer documentation. Used this way, AI becomes another input into the learning process, not a replacement for judgment, gemba observation, or human relationships.

The episode emphasizes what AI can’t do—build trust, observe real work, or validate improvement—and why those limitations reinforce the need for small tests of change. When AI is used with curiosity, restraint, and real-world validation, it can support learning without undermining the purpose of Kaizen itself.

The takeaway: treat AI like any other countermeasure. Start small. Learn quickly. Keep humans firmly in charge of thinking and improvement.