Services / AI Operating Model / Skills
Skills: What changes through AI
When AI takes over execution, capabilities gain weight that classify, question and take responsibility for results: AI literacy, judgment and decisiveness.
The shift
When AI takes over execution, capabilities gain weight that classify, question and take responsibility for results: AI literacy, judgment and decisiveness.
From
To
- Execution skills
- Manual work
→
- AI literacy
- Judgment and decision-making
Guiding questions
- Which capabilities do business units, managers and specialists need to classify, check and take responsibility for AI results?
- Where is there a risk of skill loss because AI takes over routine work – and how do we keep expertise alive?
- How do we build skills: through training, new roles, practice in the workflow or external support?
The typical mistake
Offering training on tools without clarifying the role in the workflow. People who do not know what they check, when they intervene and what they are accountable for cannot use AI safely.
What you can expect from us
- Skills profile along workflows and roles
- Analysis of skill gaps
- Qualification and enablement concept
- Concept to preserve expertise and judgment despite AI support
Would you like to align your operating model with AI?
We are glad to discuss with you where AI can create impact in your organization – and which structures, roles and rules are needed for it.