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.
01
90 days
to first AI delivery
02
120 engineers
ramped in one engagement
03
350+
AI-skilled practitioners available
04
2-week
placement SLA
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
01
Days 1–30: Foundations
Role definition & JD crafting; talent sourcing from Qapitol bench; QAVE + Nexus environment setup; SURE-Q methodology orientation.
02
Days 31–60: First Delivery
First AI validation sprint run; embedded QA leads onboarded; agentic test framework deployed; compliance eval baseline set.
03
Days 61–90: Scale & Handoff
Team scaled to target headcount; AI governance process embedded; continuous assurance running; GCC lead team fully independent.
Next step
Bring GCC AI Practice Build to your stack
Scope it in one call — outcomes defined upfront, free assessment included.