NEW! AI Change Management with Ori Schibi
What You Will Learn
Upon completion of this training, participants will be able to:
- Apply neuroscience to change resistance. Use neuroscience principles to understand and mitigate resistance to AI adoption.
- Develop AI-integrated change strategies. Design structured change roadmaps aligned with business goals and AI capabilities.
- Master stakeholder engagement in AI initiatives. Analyze AI’s effect on stakeholders and develop targeted communication and engagement strategies.
Description
The rapid advancement of artificial intelligence (AI) is transforming organizations, industries and leadership roles. This AI and Change Management course provides practical strategies and frameworks for leading changes in an AI-driven environment. Participants explore AI’s impact on change management, how to adapt leadership and communication approaches, and how to apply neuroscience and emotional intelligence to drive successful AI adoption.
Through hands-on exercises, case studies and discussions, participants will gain a deep insight into how to integrate AI into organizational transformation efforts while addressing stakeholder concerns, resistance and strategic implementation.
This course is designed for change leaders, project managers, business transformation professionals and executives seeking to enhance their knowledge of AI — specifically, how it influences change processes and how to develop an AI-driven change strategy.
AGENDA
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Module 1: AI’s Role in Change Management
- Exploring AI and its implications for organizations
- Types of AI-driven change (automation, augmentation, disruption)
- The shift in organizational structures and job roles Exercise: Identifying AI-driven change initiatives in your organization
Module 2: Stakeholder Engagement and Communication
- AI’s impact on stakeholders and leadership dynamics
- Overcoming resistance to AI-driven transformation
- Personalized engagement strategies using AI-powered insights
- Exercise: Stakeholder mapping and AI-enhanced engagement planning
Module 3: Leading Change in an AI-Powered World
- Leadership skills for AI-driven change
- Emotional intelligence, adaptability and resilience
- Building psychological safety for AI transitions Exercise: Leadership simulation - Handling AI resistance in teams
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Module 4: Overcoming Resistance to AI Adoption
- Neuroscience and human behavior in AI-related change
- Managing fears about job security and skill gaps
- Cognitive biases in AI-driven decisions
- Exercise: Applying neuroscience principles to reduce AI resistance
Module 5: Strategic AI Change Implementation
- Developing an AI-adoption roadmap
- Aligning AI initiatives with business strategy
- Exploring agile and lean change approaches in AI projects
- Exercise: Creating an AI-driven change roadmap
Module 6: Governance, Ethics and AI Accountability
- Addressing AI bias, fairness and ethical dilemmas
- Regulatory and compliance considerations
- Defining AI governance models in organizations
- Exercise: AI ethics case study — Evaluating a real-world AI challenge
Module 7: Capstone Project — AI Change Strategy Simulation
- Apply course concepts to a realistic AI change scenario.
- Develop a stakeholder engagement plan, change roadmap and governance model.
- Participate in presentations and feedback sessions.
PDU Allocation Table
Ways of Working | Power Skills | Business Acumen | Total | |
---|---|---|---|---|
CAPM® / PMI-CP™ / PMP® / PgMP® | 2 | 8 | 4 | 14.00 |
PMI-ACP® / Agile* | 0 | 0 | 0 | 0.00 |
PMI-SP® | 0 | 0 | 0 | 0.00 |
PMI-RMP® | 0 | 0 | 0 | 0.00 |
PfMP® | 0 | 0 | 0 | 0.00 |
PMI-PBA® | 0 | 0 | 0 | 0.00 |
| | | |
Instructor(s)
Ori Schibi PMP, PMI-ACP, PMI-PBA, Scrum Master
As a consultant, trainer, and speaker, Ori has delivered measurable impact across a wide range of industries, including telecom, finance, pharmaceuticals, aerospace, utilities, and construction. Clients such as Disney, Marriott, Pfizer, Amex, and the UNHCR have benefited from his practical frameworks, strategic insights, and commitment to collaboration and well-being. Ori is also the author of four influential books on stakeholders, agile, sponsorship, and business analysis, and is a recognized authority in applying AI and innovation in project environments. His work continues to shape the global project management landscape through training that is relevant, engaging, and results-focused.