AI-led Change Team Accelerator

Turn your change team into an AI-led change team.

A GEROA™-powered capability programme that moves your practitioners from curiosity to confident, grounded application of AI in their day-to-day change work.

  • Half day or full day
  • Up to 12 people
  • From $4,200 + GST
  • In person or online
See both formats and what's included

Delivered personally by Elliott Martin.

Author of the AI-Led Change Management Playbook 500+ readers across 20+ countries Focus on this ribbon to pause the rotating credentials.

The problem

Most change teams are experimenting with AI. Very few are delivering with it.

Generic training that doesn't land

Learning AI isn’t learning AI-led change. Most courses teach general productivity, not how AI applies to stakeholder understanding, communications, engagement, readiness and adoption.

Curiosity without a method

Individuals are trialling tools in isolation. There's no shared approach, so nothing compounds across the team.

Faster outputs, same old change

Teams use AI to produce existing artefacts faster, but don't rethink how change is understood, communicated or experienced. The work accelerates; the practice doesn't improve.

Unclear guardrails

Without agreed boundaries on data, judgement and oversight, caution wins and adoption stalls before it starts.

Choose your format

Two ways in, depending on where your team is now

From practical foundations to hands-on application inside real change work. Both are scoped to your team before delivery, and both are capped at 12 so every participant works on their own change portfolio, not a generic case study.

Fundamentals

AI-Led Change Fundamentals

A practical introduction to how AI can elevate change management, and a shared baseline for the whole team.

$4,200 AUD + GST
3.5 hours Up to 12 people

Best for

Teams beginning to explore practical AI use, and leaders who need a clear shared baseline before going deeper.

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What you'll cover

  • What AI-led change management looks like in practice
  • The five elements of the GEROA™ framework
  • Where AI supports core change activities
  • Common mistakes, risks and guardrails

You leave with

A practical view of where AI adds value, and a shared language for responsible AI use across the team.

After the accelerator

Your team doesn't leave interested.
It leaves working differently.

Less manual effort on change artefacts

Impact assessments, comms and readiness material drafted faster, with the practitioner still holding the judgement.

One shared method, not eight experiments

GEROA™ gives the team a common operating language and a human-centred way to apply AI, so good practice compounds instead of fragmenting.

Better change, not just faster change

Your team learns to use AI to understand context more deeply, tailor communications, create more engaging channels and design change around the people experiencing it.

Guardrails leaders and risk teams can stand behind

Clear boundaries around data, judgement, oversight and accountability, so adoption can move forward without creating exposure.

A capability that continues after the Accelerator

Your team leaves with a shared method, practical experience, reusable outputs and the confidence to keep applying AI across its own change portfolio.

How it works

From enquiry to embedded capability

Our accelerator is tailored to your team, context, and maturity level, with practical outputs and follow-through after delivery.

Enquire

Reach out to let us know that you're interested in building your team's AI-led change capability.

Scope

A dedicated session to clarify your goals, audience, maturity level, current challenges, and priority use cases.

Tailor

Our accelerator is shaped around your team’s environment, examples, and practical delivery priorities.

Deliver

Your team participates in a practical, facilitated bootcamp focused on real-world AI-led change application.

Equip

After the session, your team receives an AI-Led Change Action Pack capturing key takeaways, questions, video playback, use cases, and recommended next steps.

Embed

The 30-Day Application Review is a focused follow-up call to review what has landed, answer questions, and identify the next practical steps.

Ready to build the capability?

Build the case internally

Download the outline