Course Audience
Who Should Attend
This Organizational Change Management training course is designed for professionals and teams responsible for preparing people, leaders, and organizations for meaningful change. It is especially valuable for those leading or supporting process transformation, technology modernization, organizational restructuring, workforce change, or Agentic AI adoption who need practical methods for assessing readiness, engaging stakeholders, aligning leaders, managing resistance, communicating change, and sustaining adoption.
Change Leadership and Organizational Transformation
Change Management & Organizational Transformation Professionals
Strengthen your ability to assess organizational readiness, understand change impacts, develop structured change strategies, engage sponsors and stakeholders, manage resistance, measure adoption, and reinforce new behaviors. Apply a repeatable framework for leading the people side of transformation from initial planning through sustained adoption.
Program, Project and Transformation Delivery
Project Managers, Program Managers & Transformation Leaders
Integrate organizational change activities with project and program execution so that technical delivery and human adoption progress together. Learn to identify readiness risks, coordinate stakeholder engagement and communications, manage uncertainty and resistance, use quick wins effectively, and sustain momentum as transformation moves from implementation to business results.
Business Analysis and Process Transformation
Business Analysts, Business Systems Analysts & Business Process Professionals
Extend analysis beyond processes and requirements to understand how proposed changes affect people, roles, responsibilities, skills, culture, and ways of working. Strengthen stakeholder engagement, current-state and future-state analysis, readiness assessment, risk identification, communication planning, and adoption measurement across business and technology change initiatives.
Workforce Readiness and Capability Development
Human Resources, Learning & Development and Workforce Transformation Professionals
Apply structured methods for assessing workforce impacts, planning role transitions, identifying reskilling and upskilling needs, supporting employees through uncertainty, and reinforcing new capabilities and behaviors. Build stronger alignment among workforce planning, learning, communication, leadership, and organizational adoption activities.
Technology Modernization and Agentic AI Adoption
Digital Transformation, Technology Modernization & Agentic AI Initiative Leaders
Prepare organizations for the people and workforce implications of new technologies, including Agentic AI. Assess impacts to roles and work, address trust and autonomy concerns, plan skills development and human-AI collaboration, manage resistance to new operating models, and establish the readiness and adoption practices required for technology investments to deliver lasting value.
Enterprise Leadership and Sustainable Adoption
Business & IT Leaders Responsible for Organizational Readiness and Adoption
Develop a practical leadership framework for aligning sponsors, managers, teams, and stakeholders around transformation objectives. Learn to establish clear success criteria, build commitment and trust, monitor behavioral adoption and business outcomes, reinforce new ways of working, and sustain change as processes, roles, technologies, and organizational priorities continue to evolve.
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No Prerequisites Required
No previous change management experience is required. The course provides a comprehensive and cohesive approach to organizational change management regardless of background or level of experience. Participants develop a shared framework for assessing readiness, understanding change impacts, engaging stakeholders and sponsors, aligning leaders, planning communications and workforce transition, managing resistance, measuring adoption, and sustaining change across process transformation, technology modernization, organizational restructuring, and Agentic AI initiatives.