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From AI-Assisted to AI-Led Change with Elliott Martin

What changes when AI moves beyond helping change professionals work faster and begins reshaping how change itself is delivered?

In this episode of the Change Management Review™ Podcast, Theresa Moulton speaks with Elliott Martin, Founder of Future of Change, about the shift from AI-assisted to AI-led change and what that means for the operating model of change management.

Drawing on his experience applying AI within change programs, Elliott explores how AI can accelerate activities such as impact assessment, stakeholder communication, synthesis, and signal detection while creating more space for the human work of judgment, trust, influence, and engagement. He also discusses the GEROA™ framework, his approach to AI-led change, and why human accountability remains essential even as AI capabilities become more sophisticated.

In this episode, you’ll discover:

  • The difference between AI-assisted and AI-led change, and why using AI simply to complete existing tasks faster may only be the first step.
  • How AI can help change teams move from producing traditional artifacts toward identifying and responding to real-time stakeholder signals.
  • How tools such as an AI Change Companion can turn employee questions into useful indicators of confusion, concern, training gaps, and emerging resistance.
  • Why improving AI capabilities can create a new risk of overreliance and complacency, making human review and accountability increasingly important.
  • How the GEROA™ framework approaches AI-led change through governance, embedded AI, reallocation of human effort, optimization, and accountable human oversight.

Guest Bio

Elliott Martin is the Founder of Future of Change and author of the AI-led Change Management Playbook.

He developed the GEROA™ framework, an approach to AI-led change built around Govern AI, Embed AI, Reallocate human effort, Optimize with AI, and Accountable human oversight.

Drawing on experience delivering change across sectors including energy, banking, government, retail, and health, Elliott focuses on how AI can reduce the manual burden of change work while allowing practitioners to devote more attention to the human capabilities that remain critical to successful adoption.