Why take this course
AI and emerging technologies are no longer “future projects” – they are already transforming the way teams work.
For many employees, this means:
- Uncertainty (“Will my role still be needed?”)
- Resistance (“Why change something that already works?”)
- Fatigue (“Another change to deal with…”)
And for leaders?
Pressure to make sense of it all while continuing to deliver results.
Gallup research shows that employee engagement often declines during periods of change when leaders are unable to effectively guide their teams through the adaptation process.
This training provides practical tools for:
- Managing resistance to change and new technologies
- Building a learning mindset and readiness for continuous development
- Communicating change in a way that people understand and embrace
What you’ll learn
Benefits for Participants
- Greater confidence in leading teams through technological change
- Better understanding of how people react to AI and new digital tools
- Practical methods for addressing employee concerns and resistance
- The ability to build readiness for learning and development
- More effective communication during periods of change
- Greater control over a process that often feels uncertain or chaotic
Benefits for the Organization
- Faster employee adoption of new technologies
- Reduced resistance to organizational change
- Higher engagement throughout transformation initiatives
- Lower risk of unsuccessful implementations
- Better return on investment in AI and emerging technologies
- Leaders who can guide people through change—not just communicate it
Certification & Exam
Upon completion of the training, participants will receive a certificate of attendance confirming their participation and acquired competencies.
Who is this course for
- Managers and team leaders responsible for leading people during change initiatives and technology implementations.
- Organizations implementing AI and new technologies, especially where change affects daily work processes.
- Companies facing resistance or declining engagement that want to improve how they support employees through change.
Topics covered
Day 1 – Understanding Change and Human Reactions in the AI Era
- Technological change as a real challenge for teams and leaders
- The relationship between change management and business results
- Levels of readiness and adoption of new solutions within organizations
- Decision-making under uncertainty – a situational approach using the Cynefin Framework
- Planned change versus emergent change – how to navigate both effectively
- Systems thinking and the organizational impact of change
- Organizational culture and its influence on technology adoption
- The ADKAR model as a practical framework for leading change
- Human reactions to change – emotions, resistance, and declining engagement
- Fear of change and learning – how to understand and address it
- Motivation and readiness for development in the context of new technologies
- Building resilience in leaders and teams during periods of transformation
Day 2 – The Leader Who Implements Change and Engages People
- The leader’s role in technological transformation
- Building psychological safety during periods of change
- Individual differences – how different people respond to AI and new tools
- Teams in transition – stages, dynamics, and challenges
- Change stakeholders – identifying them and building their commitment
- Communication during change – how to communicate so people understand and want to act
- Creating consistent messages and a structured communication plan
- Resistance to change – understanding the causes and responding effectively
- Co-creation (co-design) as a way to increase acceptance and ownership
- Change implementation strategies and key elements of agile approaches
- Measuring change effectiveness – how to determine whether the change is working
- The manager’s role as a Change Leader, not just someone who implements decisions
