Building an AI-native GCC from day one
A 90-day blueprint for scaling engineering capability centers with AI at the core.
February 2026 · 9 min read
Days 1–15: charter and location
Lock the operating charter with the executive sponsor: which product lines, which functions, and which SLAs the GCC will own. Location selection should optimise for a three-year talent supply curve, not headline cost per FTE.
Days 16–45: leadership and pods
Hire the site leader and 3–4 pod leads first. Everything else compounds off that bench. Bring in an AI-augmented sourcing partner from week one to compress time-to-shortlist for the senior layer.
Days 46–75: production hiring at scale
Move to parallel pod hiring with shared interview panels and calibrated scoring rubrics. This is where most GCCs fumble by letting each pod invent its own bar.
Days 76–90: operating cadence
Stand up the weekly delivery review, the monthly attrition and hiring dashboard, and the quarterly business review with the parent org. If the cadence is not live at day 90, the GCC will drift.
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