Diagnose the adoption.
Master the judgment.
Master the judgment.
Artificial Intelligence adoption does not stand still long enough for a static change plan. Governance changes. New Artificial Intelligence (AI) capabilities appear. Business priorities shift. Leaders make new decisions. Stakeholders respond in unexpected ways.
The core challenge for change and transformation professionals:
The challenge is not simply knowing what good change management looks like. It is knowing what to do next when the conditions around the change keep moving.
| Format | Live, Fully Virtual Practice Lab |
|---|---|
| Schedule | 9:00 AM – 5:00 PM Eastern (GMT-5) Each Day |
| Certification | Certification in Applied AI Adoption™ |
| Format | Live, Fully Virtual Practice Lab |
|---|---|
| Schedule | 9:00 AM – 5:00 PM Eastern (GMT-5) Each Day |
| Certification | Certification in Applied AI Adoption™ |
Diagnose the adoption.
Master the judgment.
Master the judgment.
Artificial Intelligence adoption does not stand still long enough for a static change plan. Governance changes. New Artificial Intelligence (AI) capabilities appear. Business priorities shift. Leaders make new decisions. Stakeholders respond in unexpected ways.
The core challenge for change and transformation professionals:
The challenge is not simply knowing what good change management looks like. It is knowing what to do next when the conditions around the change keep moving.
| Format | Live, Fully Virtual Practice Lab |
|---|---|
| Schedule | 9:00 AM – 5:00 PM Eastern (GMT-5) Each Day |
| Certification | Certification in Applied AI Adoption™ |
Diagnose the adoption.
Master the judgment.
Master the judgment.
Artificial Intelligence adoption does not stand still long enough for a static change plan. Governance changes. New Artificial Intelligence (AI) capabilities appear. Business priorities shift. Leaders make new decisions. Stakeholders respond in unexpected ways.
The core challenge for change and transformation professionals:
The challenge is not simply knowing what good change management looks like. It is knowing what to do next when the conditions around the change keep moving.
| Format | Live, Fully Virtual Practice Lab |
|---|---|
| Schedule | 9:00 AM – 5:00 PM Eastern (GMT-5) Each Day |
| Certification | Certification in Applied AI Adoption™ |
Diagnose the adoption.
Master the judgment.
Master the judgment.
Artificial Intelligence adoption does not stand still long enough for a static change plan. Governance changes. New Artificial Intelligence (AI) capabilities appear. Business priorities shift. Leaders make new decisions. Stakeholders respond in unexpected ways.
The core challenge for change and transformation professionals:
The challenge is not simply knowing what good change management looks like. It is knowing what to do next when the conditions around the change keep moving.
The AI Change Adoption Lab™
It is a live, fully virtual professional practice experience for experienced change and transformation professionals. Across three intensive days, you will build the judgment required to adapt, pivot, and interpret signals from stakeholders, the system, the business environment, and leadership in the middle of continuous change.
You will work with a global peer team inside an evolving AI adoption scenario, applying what you already know against conditions that do not hold still. New information will surface. A stakeholder will respond in a way you did not expect. A leader will reverse a decision. Your team will need to determine what that means, what changes now, and how your strategy should respond.
That is the work of the Lab.
The AI Change Adoption Lab™
It is a live, fully virtual professional practice experience for experienced change and transformation professionals. Across three intensive days, you will build the judgment required to adapt, pivot, and interpret signals from stakeholders, the system, the business environment, and leadership in the middle of continuous change.
You will work with a global peer team inside an evolving AI adoption scenario, applying what you already know against conditions that do not hold still. New information will surface. A stakeholder will respond in a way you did not expect. A leader will reverse a decision. Your team will need to determine what that means, what changes now, and how your strategy should respond.
That is the work of the Lab.
The AI Change Adoption Lab™ is built and led by Theresa Moulton, Chief Executive Officer (CEO) and Editor-in-Chief of Change Management Review™ (CMR). Theresa built and led her own change management consulting firm in Boston for seventeen years, serves as a trusted advisor to senior executives on change and transformation, and has presented to audiences including CFO Magazine, the Society for Human Resource Management (SHRM), and the Association for Change Management Professionals (ACMP) Global.
Why This Capability Matters Now
AI use is expanding rapidly, but enterprise value depends on far more than technology deployment.
Workflow Redesign & AI Scaling
McKinsey & Company’s 2026 State of AI research found that nearly nine in ten respondents report regular AI use in at least one business function, while only 44% report that AI is scaling across their enterprise. The issue is increasingly not whether organizations can use AI, but whether they can redesign the business, workflows, decisions, operating conditions, and human systems around it well enough to create sustained value.
Cited Source
AI Readiness & Adoption
Microsoft’s 2026 Work Trend Index found that only 19% of AI users surveyed operate in environments where individual AI capability and organizational readiness are both high and mutually reinforcing, and only 26% say leadership is clearly and consistently aligned on AI. The adoption challenge spans leadership, culture, management practices, governance, incentives, and how work itself is organized.
Cited Source
AI Operating Models & Governance
PricewaterhouseCoopers (PwC) similarly argues that organizations need to align strategy, technology, operations, workflows, governance, decision rights, accountability, and human judgment as AI becomes embedded into how the business operates.
Cited Source 1
Cited Source 2
Systems Thinking & Adaptive Judgment
AI adoption is not one change management problem. It is a connected system of business, technology, leadership, human, and organizational decisions. Change and transformation professionals need to be able to see that whole system, act within it, and know when to adapt as it shifts. That is exactly the judgment this Lab is built to develop.
Why This Capability Matters Now
AI use is expanding rapidly, but enterprise value depends on far more than technology deployment.
Workflow Redesign & AI Scaling
McKinsey & Company’s 2026 State of AI research found that nearly nine in ten respondents report regular AI use in at least one business function, while only 44% report that AI is scaling across their enterprise. The issue is increasingly not whether organizations can use AI, but whether they can redesign the business, workflows, decisions, operating conditions, and human systems around it well enough to create sustained value.
Cited Source
AI Readiness & Adoption
Microsoft’s 2026 Work Trend Index found that only 19% of AI users surveyed operate in environments where individual AI capability and organizational readiness are both high and mutually reinforcing, and only 26% say leadership is clearly and consistently aligned on AI. The adoption challenge spans leadership, culture, management practices, governance, incentives, and how work itself is organized.
Cited Source
AI Operating Models & Governance
PricewaterhouseCoopers (PwC) similarly argues that organizations need to align strategy, technology, operations, workflows, governance, decision rights, accountability, and human judgment as AI becomes embedded into how the business operates.
Cited Source 1
Cited Source 2
Systems Thinking & Adaptive Judgment
AI adoption is not one change management problem. It is a connected system of business, technology, leadership, human, and organizational decisions. Change and transformation professionals need to be able to see that whole system, act within it, and know when to adapt as it shifts. That is exactly the judgment this Lab is built to develop.
What You Will Take Away
Develop the judgment, adaptability, and systems perspective required to lead AI adoption when conditions are evolving, information is incomplete, and the path forward is not yet clear.
What Is the Lab
The AI Change Adoption Lab™ is a methodology-agnostic, applied learning experience built around a
continuously evolving AI adoption scenario.
You bring the methodology, professional experience, tacit knowledge, and judgment you already use. The Lab puts those capabilities under real pressure.
Working with other advanced change and transformation professionals from around the world, you will form a peer team responsible for navigating an AI adoption initiative as its business environment changes. You will begin with one understanding of the challenge. Then something changes: new stakeholder information, a governance issue, a change in executive direction, an unintended workflow consequence, data that contradicts an assumption your team has been operating on. Your team must decide what the new information means, what changes now, which intervention still makes sense, and whether to act, wait, or gather more evidence.
Peer Dynamics & Shared Cohort Debriefs
Teams work in friendly competition throughout the Lab. What matters is not which team wins. It is what every participant learns by working through the same shifting conditions other experienced practitioners are working through at the same time. After each round, teams debrief together — comparing assumptions, decisions, and reasoning — so the learning belongs to the whole cohort, not just to whichever team read the situation best.
Inside the Lab, you will work across the interconnected dimensions of AI adoption, including:
- Governance, responsible use, risk, and organizational guardrails
- Human and AI decision rights, accountability, and trust
- Workflow integration, role change, and new ways of working
- Change leadership, sponsorship, and management alignment
- Organizational culture and stakeholder engagement
- Communications, resistance, commitment & psychological safety
- The practical implications of AI technology for people and work
- Adoption signals, evidence, and situational awareness
- Intervention design, sequencing, and trade-offs
- Business value, adoption effectiveness, and sustainable use
The goal is not to memorize the “right” response to an AI adoption problem. It is to become better at determining what the right response is under the conditions you are actually facing.
What Is the Lab
The AI Change Adoption Lab™ is a methodology-agnostic, applied learning experience built around a
continuously evolving AI adoption scenario.
You bring the methodology, professional experience, tacit knowledge, and judgment you already use. The Lab puts those capabilities under real pressure.
Working with other advanced change and transformation professionals from around the world, you will form a peer team responsible for navigating an AI adoption initiative as its business environment changes. You will begin with one understanding of the challenge. Then something changes: new stakeholder information, a governance issue, a change in executive direction, an unintended workflow consequence, data that contradicts an assumption your team has been operating on. Your team must decide what the new information means, what changes now, which intervention still makes sense, and whether to act, wait, or gather more evidence.
Peer Dynamics & Shared Cohort Debriefs
Teams work in friendly competition throughout the Lab. What matters is not which team wins. It is what every participant learns by working through the same shifting conditions other experienced practitioners are working through at the same time. After each round, teams debrief together — comparing assumptions, decisions, and reasoning — so the learning belongs to the whole cohort, not just to whichever team read the situation best.
Inside the Lab, you will work across the interconnected dimensions of AI adoption, including:
- Governance, responsible use, risk, and organizational guardrails
- Human and AI decision rights, accountability, and trust
- Workflow integration, role change, and new ways of working
- Change leadership, sponsorship, and management alignment
- Organizational culture and stakeholder engagement
- Communications, resistance, commitment & psychological safety
- The practical implications of AI technology for people and work
- Adoption signals, evidence, and situational awareness
- Intervention design, sequencing, and trade-offs
- Business value, adoption effectiveness, and sustainable use
The goal is not to memorize the “right” response to an AI adoption problem. It is to become better at determining what the right response is under the conditions you are actually facing.
How You Will Learn
The AI Change Adoption Lab™ is applied professional development, not a lecture series.
How You Will Learn
The AI Change Adoption Lab™ is applied professional development, not a lecture series.
Earn the Certification in Applied AI Adoption™
Successful participants earn the Certification in Applied AI Adoption™, issued by Change Management Review™.
This is not a certificate of completion. The credential is earned only after completing all in class hours and successfully passing the individual online certification examination.
The credential provides evidence — to the profession, employers, organizations, and clients — that the participant has completed an applied learning and assessment experience focused specifically on leading AI adoption. It represents demonstrated experience in:
This is not a credential for attending a lecture series. It reflects applied practice, assessed knowledge, and demonstrated professional judgment inside an evolving AI adoption environment.
Earn the Certification in Applied AI Adoption™
Successful participants earn the Certification in Applied AI Adoption™, issued by Change Management Review™.
This is not a certificate of completion. The credential is earned only after completing all in class hours and successfully passing the individual online certification examination.
The credential provides evidence — to the profession, employers, organizations, and clients — that the participant has completed an applied learning and assessment experience focused specifically on leading AI adoption. It represents demonstrated experience in:
This is not a credential for attending a lecture series. It reflects applied practice, assessed knowledge, and demonstrated professional judgment inside an evolving AI adoption environment.
Who Should Participate
Designed for experienced change and transformation professionals who are ready to strengthen their judgment, challenge their assumptions, and navigate the evolving realities of AI adoption alongside accomplished peers.
Who Should Participate
Designed for experienced change and transformation professionals who are ready to strengthen their judgment, challenge their assumptions, and navigate the evolving realities of AI adoption alongside accomplished peers.
Faculty
and the practical application of AI to the evolving realities of adoption.
Theresa Moulton
A serial entrepreneur, she has founded four professional services companies, including a boutique change management consulting firm she built and led in Boston for seventeen years.
For more than 25 years, Theresa has served as a trusted advisor to senior executives navigating complex organizational change and transformation, and as an executive coach. She holds a Master of Business Administration (MBA) from Babson College and a Prosci Certified Change Practitioner credential, developed and taught a graduate certification program in Personal and Professional Coaching, and authored the “Formulating Change Management Strategy” process group of the ACMP Standard for Change Management. Theresa has also personally instructed cohorts of The AI Change Impact Lab™ (TCIL), and has presented to audiences including CFO Magazine, the Society for Human Resource Management (SHRM), ACMP Global, Babson College, and the National Investment Company Service Association (NICSA).
Inside The AI Change Adoption Lab™, Theresa helps participants connect organizational context, human dynamics, change leadership, evidence, and professional judgment to the practical challenge of leading AI adoption as conditions evolve.
Edwina Pike
She is applying behavioral science to how people and organizations adopt change. She holds a Master of Business Administration (MBA) and brings more than 30 years of global experience in business transformation and leadership development, including senior corporate leadership roles guiding culture and behavioral change through major mergers and acquisitions. Edwina developed Behavioural Intelligence and created “Izzy,” an AI thought partner with an adaptive change and leadership toolkit, and has presented on behavioral science and AI adoption at ChangeTech Rising™ and Lead Change™, and for corporate clients and universities.
Inside The AI Change Adoption Lab™, Edwina brings a tool-agnostic focus on the psychology of adoption, helping participants understand how behavior, mindset, and organizational dynamics shape whether AI adoption actually takes hold.
Faculty
and the practical application of AI to the evolving realities of adoption.
Theresa Moulton
A serial entrepreneur, she has founded four professional services companies, including a boutique change management consulting firm she built and led in Boston for seventeen years.
For more than 25 years, Theresa has served as a trusted advisor to senior executives navigating complex organizational change and transformation, and as an executive coach. She holds a Master of Business Administration (MBA) from Babson College and a Prosci Certified Change Practitioner credential, developed and taught a graduate certification program in Personal and Professional Coaching, and authored the “Formulating Change Management Strategy” process group of the ACMP Standard for Change Management. Theresa has also personally instructed cohorts of The AI Change Impact Lab™ (TCIL), and has presented to audiences including CFO Magazine, the Society for Human Resource Management (SHRM), ACMP Global, Babson College, and the National Investment Company Service Association (NICSA).
Inside The AI Change Adoption Lab™, Theresa helps participants connect organizational context, human dynamics, change leadership, evidence, and professional judgment to the practical challenge of leading AI adoption as conditions evolve.
Edwina Pike
She is applying behavioral science to how people and organizations adopt change. She holds a Master of Business Administration (MBA) and brings more than 30 years of global experience in business transformation and leadership development, including senior corporate leadership roles guiding culture and behavioral change through major mergers and acquisitions. Edwina developed Behavioural Intelligence and created “Izzy,” an AI thought partner with an adaptive change and leadership toolkit, and has presented on behavioral science and AI adoption at ChangeTech Rising™ and Lead Change™, and for corporate clients and universities.
Inside The AI Change Adoption Lab™, Edwina brings a tool-agnostic focus on the psychology of adoption, helping participants understand how behavior, mindset, and organizational dynamics shape whether AI adoption actually takes hold.
The Cohorts
Choose the cohorts that fits your schedule.
Please review our Cancellation and Refund Policy for information about cancellations, transfers, and refunds.
Each cohort is intentionally limited to 25 participants. That limit protects what makes the experience valuable: substantive peer-team interaction, meaningful faculty engagement, and the chance to compare decisions and reasoning across teams rather than disappear into a large online course.
Investment
The organizations behind the research earlier on this page are not struggling with AI adoption for lack of technology. They are struggling for lack of the judgment this Lab is built to develop — the ability to read a changing situation, decide what matters, and adapt without losing sight of the business outcome.
Founding Cohort (December 1–3, 2026): $1,595
January Cohort (January 26–28, 2027): $1,995
Founding pricing is available only for the December 2026 cohort.
The Cohorts
Choose the cohorts that fits your schedule.
Please review our Cancellation and Refund Policy for information about cancellations, transfers, and refunds.
Each cohort is intentionally limited to 25 participants. That limit protects what makes the experience valuable: substantive peer-team interaction, meaningful faculty engagement, and the chance to compare decisions and reasoning across teams rather than disappear into a large online course.
Investment
The organizations behind the research earlier on this page are not struggling with AI adoption for lack of technology. They are struggling for lack of the judgment this Lab is built to develop — the ability to read a changing situation, decide what matters, and adapt without losing sight of the business outcome.
Founding Cohort (December 1–3, 2026): $1,595
January Cohort (January 26–28, 2027): $1,995
Founding pricing is available only for the December 2026 cohort.
Frequently Asked Questions
Find answers about the Lab experience, methodology, participation requirements, certification process, and how The AI Change Adoption Lab™ differs from The AI Change Impact Lab™.
Frequently Asked Questions
Find answers about the Lab experience, methodology, participation requirements, certification process, and how The AI Change Adoption Lab™ differs from The AI Change Impact Lab™.