The RISE model is the framework I build AI adoption work on: Relation, Intention, Steering and Enablement – the four questions an organisation has to be able to answer to become the intelligent organisation.
- Relation – how should people and AI work together? AI capacity is not something you buy a licence for. It emerges between people and technology and has to be designed: what do we hand over to the technology – and what do we not?
- Intention – what kind of organisation can we become with AI? The purpose stays fixed, but the route there is redrawn. The intention brings together the potential, what we will not give up, and what we are willing to leave behind.
- Steering – who decides what, who carries the responsibility, and what do we measure? When that is clear, employees dare to use AI openly instead of out of sight.
- Enablement – how do we learn as an organisation? Competencies are not a beginner's challenge you grow out of, but one you grow into. They are built in a system of forums, processes and structures where learning lives on.
The model has no fixed order. You can start anywhere, but you always come full circle – and when one of the four changes, the other three move. Culture sits at the centre. It is not a fifth element, but what the other four live or die by.
In practice
RISE is the foundation of my teaching in AI adoption. Participants work through all four letters and leave with a RISE plan: principles for how people and AI work together, an intention for the organisation, a model for steering and measurement and a plan for how the organisation learns.
»AI does not sit in the algorithm. It emerges in the relationship.«
The interplay between people and AI is mapped with the AI role atlas. The RISE model is the backbone of my AI strategy workshop for boards and leadership teams and of my advisory on AI adoption.
The concepts in this glossary run through my AI courses and workshops, where we work with them on your own tasks.