Best-fit format
1 day / advisory sprint
A focused design workshop for GCCs that need a practical AI operating model, demand intake process, governance forums, solution patterns, value tracking and pilot pipeline discipline.
1 day / advisory sprint
GCC leaders, function owners, transformation teams, HR/L&D, PMO, AI CoE and governance stakeholders depending on scope.
The session links business context, GCC operating reality, responsible adoption and practical next steps rather than stopping at AI awareness.
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.
A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.
A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.
A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.
Examples can be tailored for finance, HR, procurement, IT, analytics, operations, PMO, customer support and shared services.
Exercises can be adapted to approved enterprise AI tools and internal policies.
The same offering can be run as awareness, adoption, governance, use-case discovery or scale-up depending on current readiness.
Enrich can recommend a light-touch masterclass, one-day workshop or larger adoption programme based on your GCC’s current mandate.
Explore the supporting Enrich blog article that expands on this GCC offering and the business case behind it.

Learn how GCCs can design an AI CoE and AI Factory operating model with intake, governance, delivery squads, reusable components and value tracking.