Insights from Three Decades of Change Leadership
Thought leadership on AIM stewardship, AI adoption, and enterprise transformation from Ann Marvin, Founder of Peacock Hill Consulting and Chief of AI Tools at IMA Worldwide.
FeaturedBrain Rot, and the Book I Could Not Put Down
Brain Rot, and the Book I Could Not Put Down My nephew has been explaining brain rot to me for a few years. I sort of got it. I nodded in the right places. But it did not actually land until today, watching him completely absorbed in his phone. My first instinct was the one everybody has. What is…
What Did They Do Now? Notes from the Night Shift of AI Adoption
What Did They Do Now? Notes from the Night Shift of AI Adoption If you have given an AI agent real credentials and real permission to act on your behalf, you may recognize this feeling. It is 2 a.m. I am awake. Not because of a deadline. Because somewhere in my stack of connected tools, one of them…
Who Watches the Bots?
TL;DR This blog revisits Juvenal’s “Who watches the watchmen?” through the lens of AI agent oversight, where agentic systems supervise other agents, creating recursive layers of oversight. It traces cultural echoes of the question, shows how modern organizations have amassed more watchers than…
Who Watches the Bots? AI Oversight, Accountability, and Human Involvement
Who Watches the Bots? AI Oversight, Accountability, and Human Involvement TL;DR As organizations deploy bots to do work and other bots to monitor them, layers of AI oversight multiply but outcomes don’t improve. The problem isn’t a lack of watching. It’s that surveillance without involvement…
An AI Explained My Own Methodology to Me, and Made Up the Numbers
An AI Explained My Own Methodology to Me, and Made Up the Numbers By Ann Marvin, President and CEO, IMA Worldwide An AI wrote an article about my methodology last week. It was confident, well organized, and scored a 92 out of 100 on the content grader. It also invented two metrics that do not…
Every Time I Write About AI, I End Up Writing About People
Every Time I Write About AI, I End Up Writing About People I did not set out to write a series. I set out to write one post about decks, and then a thing kept happening: every time I sat down to write about AI, I ended up writing about people. Three posts in, the pattern is too loud to ignore, so…
One Fish, Two Fish: What an AI Taught Me About the Limits of Communication
One Fish, Two Fish: What an AI Taught Me About the Limits of Communication For most of this year, in the middle of an AI adoption change management project, I have been trying to get an AI to stop writing like Dr. Seuss. I am not being cute. It writes three short sentences in a row, and then a…
One Fish, Two Fish: What My AI Assistant Got Wrong About Being Done
One Fish, Two Fish: What My AI Assistant Got Wrong About Being DoneEditor's note from Ann: I asked the assistant I work with every day to write this one itself, about the months I spent trying to get it to understand me. I told it to be honest about its own part. What follows is its account. I have…
Have You Tried AI Role Play?
Have You Tried AI Role Play? Have you tried role playing with an AI yet? Not asking it to write something. Asking it to be someone. The skeptical employee in the restructure conversation. The sponsor who keeps saying yes and doing nothing. The manager who has to cascade a message they don't…
Kobayashi Maru Change Management: Why the No-Win Scenario Isn't Real
Kobayashi Maru Change Management: Why the No-Win Scenario Isn't RealAnn Marvin · IMA Worldwide · Published: September 21, 2026 · Updated: September 21, 2026 · 8 min readQuick Answer. The Kobayashi Maru is Starfleet's no-win simulation, and most change programs are run exactly the same way: the ship…
Backed by Three Decades of Proven Practice
Every article in this archive is grounded in empirical rigor, a career built on disciplined methodology, not conjecture.
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The Brand Vault archive is organized into five thought-leadership pillars, each reflecting a core area of Ann Marvin's practice.
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