Operating Model

AI CoE & AI Factory Design Workshop

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.

Discover Diagnostic • priority
Design Target state • roadmap
Digitize Platforms • data • AI
Drive Adoption • cadence
Deliver Benefits • scale
AI CoE & AI Factory Design Workshop visual

Best-fit format

1 day / advisory sprint

AUD

Recommended audience

GCC leaders, function owners, transformation teams, HR/L&D, PMO, AI CoE and governance stakeholders depending on scope.

WHY

Why it works

The session links business context, GCC operating reality, responsible adoption and practical next steps rather than stopping at AI awareness.

Indicative modules

01 AI CoE vs federated adoption model

Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.

02 AI demand intake and use-case qualification

Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.

03 Delivery squads, reusable patterns and vendor/tool standards

Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.

04 Governance cadence, risk review and decision rights

Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.

05 Value tracking and scale-up stage gates

Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.

Outputs

D1

AI CoE operating model

A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.

D2

Demand intake and qualification model

A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.

D3

Governance forums and decision rights

A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.

D4

AI value tracking dashboard structure

A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.

How Enrich customises this

By function

Examples can be tailored for finance, HR, procurement, IT, analytics, operations, PMO, customer support and shared services.

By tool landscape

Exercises can be adapted to approved enterprise AI tools and internal policies.

By maturity

The same offering can be run as awareness, adoption, governance, use-case discovery or scale-up depending on current readiness.

Next step

Use this as a focused GCC intervention or as part of the AI-Ready GCC Accelerator.

Enrich can recommend a light-touch masterclass, one-day workshop or larger adoption programme based on your GCC’s current mandate.

Related Insight

Read the related GCC insight

Explore the supporting Enrich blog article that expands on this GCC offering and the business case behind it.