A new survey of 801 executives says enterprise AI has an "orchestration gap." I read all of it. Here are my margin notes on what the numbers show, and the idea in it I think matters most.

Mark Ajzenstadt recently posted a list of 30 mistakes he sees enterprises make with AI transformation. It's one of the most practical things I've read on the subject this year, and it's worth bookmarking. What struck me most, though, was how few of the 30 are really about AI.

AI is saving people time. Turning those gains into business results takes changes to workflows, decision-making, and accountability.

Introducing new tools is easy. Changing how an organization creates value, makes decisions, and delivers work is much harder.

Effective agentic systems require more than a good prompt: context, intent, boundaries, and feedback.

How to define decision rights, oversight, and operating rhythms without creating unnecessary barriers.