Strategic QA for GCCs

Built to drive innovation and value from global hubs.

What GCCs Face and What We Solve

Global Capability Centers (GCCs) are no longer just cost-efficient extensions instead they’re becoming AI-native innovation hubs, owning entire product lines, platforms, and delivery pipelines. This shift demands a smarter, faster, and autonomous QA function. But challenges persist:

Disconnected QA practices across product teams and locations

Pressure to accelerate releases without increasing QA headcount

Growing ownership of AI/ML and Agentic AI workflows

Fragmented tools, metrics, and governance

Talent gaps and regional compliance complexities

Qapitol QA helps GCCs design, scale, and optimize QA ecosystems that are agile, intelligent, and aligned to enterprise innovation across automation, performance, GenAI, and hybrid delivery models.

How We Solve It

Consulting Led Strategy & Operating Model Design

Strategic QA advisory workshops tailored to GCC maturity and innovation goals
Feasibility studies for centralized QA, tool rationalization, and operating models like Greenfield, Hybrid, or BOT QA CoEs

Governance, Risk & Compliance in QA

End-to-end test traceability and regulatory alignment
AI governance for GenAI, LLMs, and Agentic AI system validation
Secure test data provisioning across regions

Talent & Workforce Transformation

Build GCC-based QA hubs for automation, performance, and security
Staff augmentation + embedded squads in agile product streams
AI fluency programs, QA certifications, and CoP-led knowledge transfer

QA Infrastructure & Tooling Readiness

CI/CD integration, test data orchestration, and cloud-native environments
QA platform design with enterprise observability and analytics at its core

AI & Hyperautomation in QA

Use of AI Agents for smart test selection, flaky test detection, and auto-triage
GenAI for test generation, documentation, and knowledge management
Continuous validation pipelines combining automation + AI