Organizations are under pressure to turn Artificial Intelligence (AI) investment into meaningful adoption, new ways of working, and business value.
And change and transformation professionals are increasingly being asked to help.

But answering that call requires more than traditional change expertise — and more than knowing how to use ChatGPT, Claude, Microsoft Copilot, or another AI tool.

Change professionals need enough AI knowledge, applied capability, and professional judgment to understand what the technology can do, work credibly alongside business and technical teams, identify where AI can strengthen change work, redesign selected elements of the way they personally practice change, and make informed choices about what should remain human-owned.

The AI Change Impact Lab™ is a live, hands-on virtual learning experience that helps experienced change and transformation professionals build that capability.

Work with generative and agentic AI. Explore AI-enabled workflows. Apply AI to real change-management work. Turn professional expertise into a repeatable AI-enabled application or practice. Build and test with a global peer team. Present your work to expert judges.

Successful participants earn the Certification in Applied AI Change Management™ from Change Management Review™ (CMR).

Orientation: September 22, 2026
Lab Days: September 29–30, 2026
Investment: $995
Fully Virtual · Limited to 25 Participants

For many professionals, basic AI use is no longer the challenge.

You may already use AI to draft, summarize, research, brainstorm, analyze information, or create first versions of change deliverables.

But the technology is moving beyond individual prompts.

AI agents can increasingly perform multi-step work.

Human-plus-AI workflows can change how professional work is performed.

Organizational knowledge can be turned into repeatable AI-enabled practices rather than recreated from a blank prompt each time.

And business leaders are beginning to ask a much larger question:

How will AI change the way work gets done — and how will that create value?

Change professionals have an important role to play in that conversation.

But to contribute credibly, the way we personally practice change has to evolve too.

As AI moves into business processes and workflows, change and transformation professionals are increasingly encountering questions such as:

• Where can AI create meaningful value in this work?
• What can an AI agent do that a conventional generative-AI interaction cannot?
• How should work be divided between people and AI?
• Which parts of a workflow can be AI-enabled?
• What should remain human-owned?
• How should AI output be grounded, reviewed, challenged, and verified?
• What evidence can we trust?
• Where are privacy, security, governance, data, or compliance issues likely to arise?
• How should AI-enabled change practices be made repeatable rather than dependent on individual prompting skill?
• How can change management contribute more effectively to the organization’s AI investment?

You do not need to become an engineer or data scientist.

You do need enough capability to participate intelligently in the work.

That is what The AI Change Impact Lab™ is designed to help you build.

The question is no longer simply:

Can you use AI?

The more important question is:

Can you use it to change how useful work gets done?

Inside the Lab, participants move beyond isolated AI interactions and explore how generative AI, AI agents, structured context, human oversight, and workflows can be combined into repeatable professional practices.

You will examine questions such as:

• When is a prompt enough?
• When does the work need a structured application?
• When might an agent or multi-step workflow add value?
• What information does AI need to perform useful work?
• Where should a human review or intervene?
• What quality standard should the output meet?
• What should never be delegated?
• How can a useful AI interaction become a repeatable practice?

The emphasis is not on mastering one product.

It is on developing judgment that can travel across changing technologies.

Your change methodology contains valuable professional knowledge.

The questions you ask.

The evidence you examine.

The criteria you use.

The sequence you follow.

The patterns you recognize.

The judgment you apply when reality does not fit the template.

The Lab helps you explore how that expertise can be translated into an AI-enabled application, workflow, or professional practice.

Change Readiness Evidence Analyzer
Organizes survey findings, interviews, observations, and project information to surface patterns and evidence gaps.

Role Impact Mapping Assistant
Examines how change may affect tasks, responsibilities, skills, workflows, and stakeholder groups.

Manager Conversation Coach
Helps managers prepare for employee questions and practice appropriate responses.

Sponsor Action Planning Guide
Uses project conditions and stakeholder information to support practical sponsor actions.

Stakeholder Communication Builder
Supports communications tailored to specific audiences, impacts, concerns, and stages of change.

These are examples — not prebuilt applications participants simply observe.

Your team determines what to create based on the organizational challenge, the expertise you bring, and the opportunity you identify.

AI is increasingly moving from generating an answer to participating in a sequence of work.

The Lab introduces participants to the practical implications of that shift.

Explore:

• generative AI;
• agentic AI and AI agents;
• human-plus-AI workflows;
• multi-step AI-enabled work;
• context and grounding;
• iteration and verification;
• human oversight and decision points;
• responsible use;
• governance and professional boundaries; and
• practical automation opportunities.

You do not need to code.

The goal is to understand enough about how these capabilities work to make better professional decisions about where and how they belong in change practice.

The applied team challenge is at the center of The AI Change Impact Lab™.

Working with a global peer team, you will:

1. Interpret a challenging real-world organizational change scenario.
2. Identify where AI could meaningfully strengthen the work.
3. Decide what AI should do and what should remain human-owned.
4. Design and build an AI-enabled application, workflow, or solution.
5. Test and refine what you create.
6. Apply it to the organizational challenge.
7. Explain your evidence, reasoning, safeguards, and professional judgment.
8. Present your team’s approach and results to expert judges.

The goal is not simply to build something with AI.

The goal is to demonstrate that you can apply AI thoughtfully to meaningful change work.

AI implementation requires experimentation. New tools, agents, workflows, and ways of working have to be tested, evaluated, refined, and adapted as organizations learn what creates value.

The challenge is knowing how to experiment intelligently — what to test, what to watch, where human judgment belongs, how to evaluate the results, and when an approach is ready to become part of repeatable practice.

The AI Change Impact Lab™ gives you a structured environment in which to:

You work alongside experienced peers and expert faculty while applying AI to realistic change work.

The result is not simply more knowledge about AI.

It is experience experimenting with it purposefully and turning what works into stronger professional practice.

By completing The AI Change Impact Lab™, participants will be better prepared to:

• understand the practical differences among generative AI, agents, and AI-enabled workflows;
• select AI approaches more thoughtfully based on the work to be done;
• provide stronger context and source material;
• evaluate AI output rather than accepting it at face value;
• identify where human judgment and accountability must remain;
• redesign selected elements of change work around AI;
• turn professional knowledge into repeatable AI-enabled practices;
• use AI-supported evidence without surrendering professional judgment;
• recognize governance, privacy, data, security, and compliance considerations that require specialist involvement;
• collaborate more credibly with business, technology, governance, risk, Human Resources, and transformation colleagues; and
• contribute more confidently to conversations about how change management can support AI-enabled transformation.

The AI Change Impact Lab™ is designed for experienced professionals whose organizations are asking more of them as AI becomes part of transformation and work, including:

• organizational change professionals;
• change consultants and change leads;
• transformation professionals;
• project and program managers;
• Human Resources professionals;
• Learning and Development professionals;
• organizational development professionals;
• communication professionals; and
• internal advisers supporting organizational change.

This is particularly relevant if you are thinking:

“I already use AI, but I need to understand how to apply it more systematically to my work.”

“I am being pulled into AI conversations and need greater practical capability to contribute credibly.”

“The way I personally practice change is still largely operating the way it did before generative and agentic AI.”

“I need to understand where AI belongs in the work — and where human judgment must remain.”

“I want evidence that my AI capability goes beyond casual tool use.”

No coding, engineering, or data-science background is required.

Issued by Change Management Review™ (CMR).

The certification recognizes successful completion of an applied professional learning experience focused on selected elements of AI-enabled change practice and successful assessment of relevant knowledge and judgment.

To earn the certification, participants must complete the required program elements and pass the individual online certification examination.

Participants receive a digital certificate and badge.

This is not simply a certificate for attending an AI tools course.

It represents applied professional development specifically at the intersection of Artificial Intelligence and organizational change work.

The experience combines:

• live expert-led learning;
• current AI technology demonstrations;
• hands-on work with generative and agentic AI;
• guided experimentation;
• global peer-team collaboration;
• team working sessions;
• mentor and facilitator support;
• AI-enabled application and workflow development;
• friendly team competition;
• expert feedback; and
• a judged final presentation.

You learn by using, questioning, building, testing, applying, and explaining.

Team presentations are reviewed by a rotating selection of judges from CMR’s expert judging team, including:

Paul Gibbons
Change leadership, Artificial Intelligence adoption, and behavioral science

Daryl Conner
Globally recognized transformation adviser and author of Managing at the Speed of Change

Stefanie Jackson
Chief Executive Officer of the Change Management Institute

Edwina Pike
Transformation leader, behavioral science expert, and founder of Pike Squared and Irrational Change

Judges observe and evaluate final team presentations. They do not serve as team mentors.

Are you equipped to play it?

Organizations are asking change professionals to help turn AI investment into adoption and value.

But can you credibly answer that call if the way you personally practice change has not evolved with AI?

Organizations need professionals who can bring deep human and organizational expertise into AI-enabled transformation.

Professional credibility increasingly depends on understanding enough about AI to work with it, question it, apply it responsibly, and recognize how it is changing the work itself.

The AI Change Impact Lab™ helps experienced change professionals strengthen that capability.

September 2026 Cohort

Orientation: September 22, 2026
Lab Days: September 29–30, 2026
Investment: $995
Fully Virtual · Limited to 25 Participants

Questions about the experience, certification, or cohort fit? Let us know, and we will be happy to arrange a time to speak with you.

Paul Gibbons is a global expert on change leadership, AI adoption, and behavioral science in organizations.
A former IBM partner and business school professor, Paul has advised top firms including Microsoft, Google, and Shell.
His groundbreaking books—including The Science of Organizational Change and 2024’s best-seller

The Future of Change Management—challenge outdated change models and introduce cutting-edge insights on ethics,
neuroscience, and people analytics. A sought-after keynote speaker, Paul has inspired audiences on five continents.

Daryl is the founder and Chairman of Conner Partners, Conner Advisory, and Conner Academy and he serves as a leading advisor and educator to senior executives across the globe. He is the author of “Managing at the Speed of Change” and “Leading at the Edge of Chaos.”

For over forty-five years, Daryl has educated and advised strategic leaders and veteran change practitioners in many of the world’s most successful organizations, helping them to understand and navigate the challenges and opportunities they face during transformational change. He is co-founder and chairman of three distinct but related platforms that he uses to deliver his work – Conner Advisory (conneradvisory.com), Conner Academy (conneracademy.com) and Conner Partners (connerpartners.com).

Steffi Jackson is the CEO of the Change Management Institute, the global peak body for the change management profession, connecting a vibrant professional community across 42 countries and advancing standards of excellence worldwide. A Graduate of the Australian Institute of Company Directors, she brings 20 years of national and international leadership experience spanning management consulting, financial services, insurance, and the not-for-profit sector.

Ed is passionate about transforming businesses, she offers an unusual perspective; a deep understanding of leading transformational change, and the pressures and dynamics that come with it.

Ed spent thirty years transforming businesses across the globe, the last ten in a senior leadership role managing the high value, complex culture and behavioural changes that come with M&A.

In 2019, Ed left the security of her corporate role to set up Pike Squared, an advisory firm specialising in guiding businesses through the toughest transformations, and Irrational Change, focused on building behavioural science capability in her fellow change agents.

An expert in leadership, human behaviour, culture, motivation, value realisation and inspiration, Ed often writes, speaks and teaches. Ed is the innovator behind Irrational Change.

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