Without a defined capability scope, GCCs drift into low-value execution centers. We define what your GCC truly owns — distinguishing core from non-core, and aligning scope to your enterprise roadmap and AI strategy

Capability ownership blueprint by function

Core vs non-core work delineation

Phase-wise capability migration plan

AI-native vs traditional delivery model design

Output

Capability ownership blueprint

Location decisions made for speed often limit scale. We evaluate Tier-1 and Tier-2 India GCC hubs against your specific talent needs, cost curves, attrition risk, and long-term leadership availability — not generic rankings.

Tier-1 and Tier-2 India city evaluation

Talent density and hiring velocity modelling

Wage inflation and attrition risk assessment

3–5 year scalability and risk-adjusted growth plan

Output

Location recommendation with rationale

Strong governance builds trust with HQ leadership. We design your GCC's operating model — centralized, pod-based, or hybrid — alongside RACI frameworks, KPIs, escalation paths, and the decision rights that enable accountability at scale.

GCC operating model (centralized, pod, hybrid)

Governance playbook and cadence design

RACI matrix and decision rights framework

KPIs aligned to business outcomes, not activity

Output

Governance and operating playbook

Retrofitting AI into a mature Global Capability Center is expensive and disruptive. We embed AI-native design principles from the start — identifying automation leverage points, designing pod-based delivery models, and aligning the GCC roadmap with your enterprise AI strategy so value compounds from Day 1.

AI and automation leverage identification

Pod-based delivery model design

Productivity acceleration from Day 1

GCC roadmap aligned to enterprise AI strategy

Output

AI-native GCC design principles and roadmap