Best-fit format
1–2 days
Use-Case Sprint
GCC AI Use-Case Discovery Sprint
A facilitated sprint that converts GCC pain points and functional priorities into a prioritised AI opportunity heatmap, scored use-case backlog and pilot charters that can move into implementation planning.
Discover
Diagnostic • priority
Design
Target state • roadmap
Digitize
Platforms • data • AI
Drive
Adoption • cadence
Deliver
Benefits • scale
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
Process and pain-point discovery
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
02
Work classification: automate, augment, redesign or elevate
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
03
AI use-case ideation by function
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
04
Value, feasibility, data readiness and risk scoring
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
05
Pilot charter creation and roadmap design
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
Outputs
D1
Function-wise AI opportunity heatmap
A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.
D2
Prioritised use-case backlog
A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.
D3
Top pilot charters
A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.
D4
30/60/90-day pilot roadmap
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.
How a GCC AI Use-Case Discovery Sprint Works
Understand how a GCC AI use-case discovery sprint identifies, scores and prioritises AI opportunities across functions and workflows.