AI-Driven Transformation: Map Opportunities, Set Strategy and Prioritise Actions.

About the course.

What you learn.

• Carry out an AI mapping to chart processes, roles, risks and opportunities
• Identifying workflows, processes and tasks that can be streamlined, enhanced or automated with AI
• Clarify where AI can create value in your organisation, and where it should not be used
• Structure goals, priorities and governance for AI initiatives
• How to go from an identified opportunity to a concrete and achievable AI initiative
• Understand how culture, ways of working and change management affect AI adoption
• Develop a realistic and well-anchored AI strategy linked to the organisation's goals
• Identify competence needs, responsibility and ownership in the organisation
• Understand risks, ethics and governance issues related to AI in the organisation
• Formulating a first structured roadmap based on identified opportunities
• Which organisational conditions need to be in place to turn the mapping into action

How the course is built.

1. DAY 1: Understanding and mapping AI in the organisation

2. 09.00 Introduction: from traditional to AI-driven

   - How organisations go from traditional ways of working to AI-driven ones - The difference between isolated AI efforts and AI-driven ways of working - Process and content for an AI strategy

3. 10.15 Coffee

4. 10.30 How other organisations have worked with AI

   - How organisations have succeeded, and failed, with AI - Examples of AI initiatives that have created concrete business value - What distinguishes organisations that move forward from those that get stuck

5. 12.00 Lunch

6. 13.00 Method: mapping opportunities for AI in the organisation

   - How to systematically investigate where AI can create value in the organisation - Step by step: from identified opportunity to achievable AI initiative - Examples of what the mapping can look like in different types of organisations

7. 13.45 Workshop: Map opportunities in your organisation

   - Identify workflows and tasks that can be streamlined or replaced with AI - Make existing initiatives, manual work and bottlenecks visible - Discuss where AI is relevant, and where it is not

8. 15.00 Coffee break

9. 15.15 Workshop: Business value, culture and organisational conditions

   - Inspire and unite the organisation around your AI strategy - Assess business value and realistic impact - Identify organisational obstacles, cultural issues and change needs - What it takes to move the organisation forward

10. 16.30 Summary and reflection

    - Key insights from the mapping - What we take with us to day 2

11. 17.00 Day 1 ends

12. DAY 2: Prioritise, structure and take the next step

13. 09.00 Joint start and feedback

    - A short reflection on day 1 - What became clear, and what remains to be solved?

14. 09.30 From mapping to prioritised AI initiatives

    - How to choose the right initiatives based on impact, feasibility and risk - Choosing what not to do: why not everything should be done with AI - Adapting to the organisation's size and maturity

15. 10.15 Coffee

16. 10.30 Structure, responsibility and conditions

    - Roles, responsibility and ownership in AI work - Internal competence, external partners and collaborations - What needs to be in place to succeed

17. 12.00 Lunch

18. 13.00 Workshop: Prioritising and designing AI initiatives

    - Formulate 2-4 concrete initiatives - Define purpose, goals and expected impact - Identify dependencies, risks and next steps

19. 15.00 Coffee break

20. 15.15 From initiative to roadmap

    - Change in ways of working, roles and culture - Follow-up, learning and adjustment: how AI work is kept alive in the organisation

21. 16.30 Closing summary

    - What participants take with them after the course - Next steps after the course

22. 17.00 The course ends

Who is this for?

Decision makers and leaders who want to work more strategically and in a more structured way with AI, and who need to take a position on AI initiatives but lack a clear and coherent model for how the work should be organised and run. No technical prior knowledge is required. The course focuses on leadership, organisation and strategy, rather than on prompting or the operational use of AI tools.