Enrich helps Global Capability Centres move from efficiency mandates to AI-led transformation through leadership masterclasses, workforce fluency, responsible governance, use-case discovery, PMO discipline and implementation-ready roadmaps.
Choose a focused masterclass, a hands-on adoption workshop, a use-case sprint or a wider AI adoption programme based on current GCC maturity and executive urgency.
A flagship masterclass-to-roadmap intervention that helps GCCs move from AI awareness to governed adoption, use-case discovery and 90-day action planning.
Format: 2 days / custom enterprise rollout
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Leadership alignment on AI, GenAI, agentic AI, responsible adoption and the GCC's role as an enterprise transformation hub.
Format: 3–4 hours / half-day
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Hands-on AI fluency, prompt engineering and team-based productivity adoption for GCC managers and knowledge workers.
Format: Half-day / 1 day
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A structured sprint to convert business pain points into a prioritised AI use-case backlog, heatmap and pilot charters.
Format: 1–2 days
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Responsible AI guardrails, safe-use policies, risk register and governance cadence for enterprise-grade AI adoption.
Format: Half-day / 1 day
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Create an internal AI champions network that can scale AI fluency, prompt libraries, clinics and adoption measurement across the GCC.
Format: 2 days + optional clinics
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Define the operating model, demand intake, governance forums, value tracking and pilot pipeline for a scalable GCC AI capability.
Format: 1 day / advisory sprint
Explore offeringGCCs are being asked to move from delivery capacity to enterprise transformation ownership.
Reporting, analysis, support, documentation, engineering, PMO and shared-services work are being reshaped by GenAI and agentic AI.
Informal experimentation must evolve into safe use, human oversight, data hygiene and measurable productivity.
AI fluency, prompt discipline, use-case thinking and change adoption must reach beyond a small expert group.
Baseline AI maturity, stakeholder priorities, work portfolio, tools, processes and adoption risks.
Output: GCC readiness snapshot
Create common leadership language around AI, GenAI, agentic AI, business value and responsible governance.
Output: Executive alignment canvas
Run AI fluency, prompt engineering and role-based productivity sessions for leaders and teams.
Output: Prompt library and safe-use checklist
Convert pain points into prioritised AI use cases, pilot charters and workflow redesign opportunities.
Output: Use-case heatmap
Define governance cadence, AI champions, adoption metrics and 30/60/90-day roadmap.
Output: AI adoption roadmap
| Format | Best for | Typical output |
|---|---|---|
| Executive masterclass | Leadership alignment before wider rollout | GCC AI agenda, risks and 90-day priorities |
| Productivity workshop | Manager and workforce adoption | Prompt library, safe-use checklist and productivity examples |
| Use-case discovery sprint | Building an implementation pipeline | Prioritised backlog, heatmap and pilot charters |
| Governance workshop | Responsible adoption and risk control | Policy outline, AI risk register and governance model |
| Champions programme | Scaling AI fluency internally | Champion playbook, clinic cadence and adoption tracker |
A shared view of where AI should be used, governed, scaled and measured inside the GCC.
A prioritised list of AI opportunities by function, value, feasibility, risk and speed to impact.
A practical structure for champions, reviews, safe use, metrics and ongoing capability building.
Share the GCC size, target audience, priority functions and current AI maturity. Enrich can recommend the lightest credible starting point.
Explore the supporting Enrich blog article that expands on this GCC offering and the business case behind it.
Learn how an AI-Ready GCC Accelerator helps global capability centres build AI fluency, responsible governance, prioritised use cases and a 90-day adoption roadmap.
