Understand the starting point
Review objectives, affected processes and interfaces together. Make assumptions, open questions and organizational dependencies visible.
AI · Governance · Organizational readiness
AI may be ready. Are organizations?
AI changes work and decisions. To create value, organizations need a shared objective, clear responsibility and an approach that works in everyday operations.
01
What to clarify before adoption
Which task should AI improve? Who evaluates the outcome? And who takes responsibility when a recommendation is adopted? These questions belong at the start of an initiative.
International programs also involve different working practices, regional requirements and distributed knowledge. A shared decision framework needs to accommodate these differences and give local teams room to act.
02
Four questions for leadership teams
- Value: Which outcome should improve, and how will we recognize an improvement?
- Responsibility: Who decides on use, review and further development – and who can stop an application?
- Collaboration: Are expertise, data and processes accessible across the functions involved?
- Change: Do the people affected understand their future role, and do they have the time and support to fulfil it?
03
From ambition to a workable approach
Structure decisions
Define decision rights, review steps and escalation routes. Connect specialist assessment with operational responsibility.
Support adoption
Structure a limited use case with clear success criteria. Review practical experience and prepare the decision on further steps.
The related column by Anahi Weidhaas was published by Ámbito. Original article in Spanish:
Read the column at Ámbito ↗Europe ↔ Latin America
Where does your organization stand?
An initial conversation can clarify the organizational questions shaping your AI initiative and where support would be useful.