Ownership
No clear accountability
Without a credible sponsor and decision rights, issues drift instead of being resolved.
Failure patterns
Why AI Programmes Fail
AI programmes fail when activity grows faster than ownership, adoption, evidence and delivery discipline.
Focused guidance
What this means in practice
Adoption
Users are too far away
AI does not change real work when users and feedback are distant from delivery.
Delivery drag
Governance and scope consume progress
Governance, scope and dependencies can consume capacity before the programme proves value.
Next step
Find out where the execution conditions are weakest.
Use the Galapagos AI Execution Diagnostic to assess one programme, initiative or business function and receive a readiness score, archetype, risk warnings and 30/60/90-day action plan.