Solution

GCC AI Practice Build

Build your AI Centre of Excellence in 90 days.

A GCC without an AI practice is building yesterday's centre for tomorrow's problems. Qapitol's GCC AI Practice Build gives you the roles, the platforms, the methodology, and a functioning AI delivery team — fully operational in 90 days, not 18 months.

For:CDO / CTO GCC HeadHead of EngineeringVP Technology

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The challenge

What makes this hard

Talent Bottleneck: AI-skilled QE engineers, ML engineers, and LLM specialists are the hardest roles to hire. Standard GCC staffing partners don't have them.

Platform Setup Complexity: Standing up QAVE, Nexus, and CHEQ inside a new GCC environment takes months without the right team.

Methodology Gap: AI governance, compliance testing, and responsible AI practices require a methodology your GCC doesn't have yet.

What we deliver

The Qapitol approach

Days 1–30: Foundations

Role definition & JD crafting; talent sourcing from Qapitol bench; QAVE + Nexus environment setup; SURE-Q methodology orientation.

Days 31–60: First Delivery

First AI validation sprint run; embedded QA leads onboarded; agentic test framework deployed; compliance eval baseline set.

Days 61–90: Scale & Handoff

Team scaled to target headcount; AI governance process embedded; continuous assurance running; GCC lead team fully independent.

Bring GCC AI Practice Build to your stack

Scope it in one call — outcomes defined upfront, free assessment included.

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