AI-Native Change Agent is a practical training for professionals who are responsible for making AI happen, not just talking about it. You learn how to define solid AI initiatives, align business, technology and compliance, and prevent efforts from getting stuck in proof-of-concepts.
Throughout the course you work on one of your own AI initiatives. You structure it using clear charters, stakeholder maps and simple delivery patterns, so you leave with a concrete, executable approach you can apply in your context.
Objectives
By the end of the training you understand how to shape, communicate and lead AI initiatives that are responsible, feasible and valuable. You learn how to identify real AI opportunities, design clear next steps, integrate Responsible AI principles and guide teams through experimentation, decision making and scaling.
Programme
Day 1 - Prepare: context, value and stakeholders
Day 1 focuses on understanding where AI can create value and who needs to be involved.
Key elements of day 1:
Recognizing real AI opportunities and avoiding hype-driven use cases
Mapping stakeholders, ownership and decision structures
Clarifying goals, risks and constraints for your chosen initiative
Running value and alignment conversations with practical canvases
Day 2 - Design: from idea to structured initiative
Day 2 translates your opportunity into a clear, deliverable concept.
Key elements of day 2:
Defining scope, success criteria and assumptions
Considering data, risk, ethics and regulatory expectations
Creating stakeholder maps and initiative charters for focus and alignment
Outlining an initial implementation and adoption approach
Day 3 - Deliver: momentum, adoption and scale
Day 3 focuses on making your initiative work in the real organization.
Key elements of day 3:
Building a pragmatic roadmap for the next 30, 60, 90 and 120 days
Guiding teams through lean experiments and learning cycles
Managing resistance and keeping stakeholders engaged
Capturing patterns that can be reused across teams or value streams
