Evolution: Rewiring Change Management for the AI Era
A candid, practical conversation on how to build, and retain, the capabilities that matter when everything else is accelerating.

Change management has always operated like a guide who arrives with a map. The team comes in, plots a route from where the organization is to where it needs to be, walks people from one to the other, and steps back when the job is done.
AI is changing the geography under that model. The terrain doesn’t sit still long enough to map. What works instead is closer to mountaineering. A mountain whose weather and trail keep shifting needs Sherpas who know the terrain and read it in real time, supported by huts along the way where someone is watching the conditions and feeding what they see back to the climbers.
That architecture is the spine of Melissa’s new book, Hyperadaptive: Rewiring the Enterprise to Become AI-Native (IT Revolution Press / Simon & Schuster, May 2026).
In this conversational interview, Melissa talks us through what it means for change management to relocate from outside the organization to inside it: from periodic project to embedded guidance system.
We discuss where this work is already happening, and what it asks of the practitioners ready to lead it.
What we’ll cover
- Why outside supporting function no longer matches the pace or shape of AI-era change
- What an inside, real-time guidance architecture looks like in practice
- What this shift asks of change practitioners now, and where to start building
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