Engagement model · Managed GCC

Managed GCC: You Own the Center, We Run the Specialist Functions

Already run a GCC or captive center? Keep ownership, and we'll manage the specialist functions inside it to agreed SLAs.

  • ISO 27001 certified
  • ISO 9001 certified
  • AWS Advanced Tier Partner

Quick answerA Managed GCC is an engagement model where the client owns its Global Capability Center (GCC), also called a captive center, and a specialist partner runs selected functions, such as AI and GenAI, cloud, DevOps, data and analytics, cybersecurity, quality engineering or digital upgradation, under agreed SLAs and KPIs. The client keeps ownership and strategy; the partner brings depth, platforms and accountability for outcomes.

We build and run GCCs in the Tier 1 hubs of Mumbai, Pune, Gurgaon, Noida, Hyderabad, Chennai, Bangalore, Ahmedabad and Kolkata, and in the Tier 2 city of Gandhinagar.

The model

What is a Managed GCC?

Most established GCCs are good at running the core work they were set up for. Where they struggle is with the specialist functions that move fast and are hard to hire for: AI and GenAI, cloud platform engineering, DevOps, data engineering, cybersecurity and the digital upgradation of legacy systems.

In a Managed GCC, you keep full ownership of the center (entity, people, culture and roadmap) and Relevance Lab runs the specialist functions inside it. We bring the skills, playbooks and platforms, and we are accountable for agreed SLAs and outcomes. Your leaders keep strategic control, and your center gets depth it would take years to build alone.

How the model works

How the managed GCC operating model works

Client ownership

You own the entity, the people strategy, the roadmap and the intellectual property.

  • Strategy and priorities
  • Budget and headcount plan
  • Product ownership

Our delivery

We staff, run and improve the managed functions, and answer for the results.

  • Specialist teams and leads
  • Playbooks and platforms
  • Continuous improvement

Shared governance

One cadence of reviews keeps both sides aligned and decisions fast.

  • Weekly operating reviews
  • Monthly SLA reporting
  • Quarterly business reviews
SLAs, KPIs and reporting

What we measure and report

Each managed function gets SLAs and KPIs agreed with you up front, reported on a shared dashboard.

Sample SLAs and KPIs for managed GCC functions
FunctionSample SLAsSample KPIs
Cloud & DevOpsAvailability, incident response and resolution timesDeployment frequency, change failure rate, cloud cost per workload
Data & AnalyticsPipeline freshness, data-quality thresholdsData products delivered, adoption, cost per query
AI & GenAIModel monitoring, evaluation cadenceUse cases in production, accuracy, value delivered
CybersecurityDetection and response times, patch windowsOpen vulnerabilities, audit findings closed
Quality EngineeringRegression cycle timeAutomation coverage, escaped defects
Digital UpgradationMilestone delivery, cutover windowsLegacy systems upgraded, user adoption, cost to run
Compare

Managed GCC vs GCC as a Service

Managed GCC compared with GCC as a Service
Managed GCCGCC as a Service
Who owns the centerYouRelevance Lab runs it for you
What we runSelected specialist functionsThe whole center: entity, workspace, HR, delivery
Typical clientEstablished GCC needing depthFirst-time or growing GCC
Commercial modelSLA-based fee per functionMonthly fee per team
Next stepTransformation or scale-upOwnership or managed model
Client proof

Managed GCC in practice

HR & Benefits TechnologyManaged GCCCaptive center

Running specialist functions for an HR and benefits technology provider

Cloud, DevOps and quality engineering run as managed functions inside a benefits-administration platform's delivery model.

GCCs for HR & Benefits Technology

Challenge

Modernize and operate large benefits and payroll platforms while meeting strict data-protection obligations for employee data.

Approach

Relevance Lab took ownership of specialist functions under agreed SLAs, while the client retained product ownership and its own core teams.

Outcome

More predictable releases and operations, with specialist depth available without building every skill in-house.

See all GCC case studies

Locations

Where we build GCCs: Tier 1 and Tier 2 cities across India

We set up and run GCCs in nine Tier 1 hubs and the fast-growing Tier 2 city of Gandhinagar, so you can balance talent depth, cost and business continuity.

  • Tier 1MumbaiIndia's financial capital, with depth in banking and financial services talent.
  • Tier 1PuneDeep engineering, product and automotive technology talent.
  • Tier 1GurgaonDelhi NCR's corporate hub, with deep technology and business services talent.
  • Tier 1NoidaDelhi NCR's large IT and technology services cluster, at competitive cost.
  • Tier 1HyderabadOne of India's fastest-growing GCC hubs, with strong engineering and data talent.
  • Tier 1ChennaiStrong in SaaS, financial services technology and engineering.
  • Tier 1BangaloreIndia's largest technology talent pool and its most established GCC hub.
  • Tier 1AhmedabadGujarat's commercial hub, with a growing technology talent base at competitive cost.
  • Tier 1KolkataEastern India's largest talent market, with a large graduate pool at lower cost.
  • Tier 2GandhinagarHome to GIFT City, India's international financial services center.
FAQ

Frequently asked questions

Straight answers about Managed GCC. Can't see your question?

Ask a GCC expert

A Managed GCC is a model where you own your Global Capability Center and a partner runs selected specialist functions inside it, such as AI, cloud, DevOps, data, cybersecurity or digital upgradation, under agreed SLAs and KPIs.

Relevance Lab manages AI and GenAI, cloud, DevOps, data and analytics, cybersecurity, quality engineering and digital upgradation, covering managed AI services for your GCC, cloud and DevOps for your GCC, and GCC cybersecurity. Functions can be added or removed as your center's own capabilities grow.

No. You keep ownership of the entity, people strategy, roadmap and intellectual property. Governance is shared through weekly, monthly and quarterly reviews.

SLAs and KPIs are agreed for each function during onboarding, based on your baseline and goals, and reported monthly on a shared dashboard.

Yes. AI Pods and our AI Services practice give your center an AI delivery capability quickly, with governance and MLOps in place, so use cases reach production rather than stalling at proof of concept.

Outsourcing moves work outside your organization. In a Managed GCC, the managed functions run inside your own center, aligned to your processes, with knowledge staying in your organization, so your captive operations stay yours.

Content last reviewed: October 2026

Add specialist depth to the GCC you already own

Tell us which functions are hardest to build. We'll map an SLA-based model around them.

Get started

Talk to a GCC expert

Tell us where you are with your Global Capability Center (planning, launching, running or transforming) and a GCC specialist will come back with next steps.

  1. A GCC specialist reviews your goals and context.
  2. We set up a call to talk through location, model, cost and timeline.
  3. You get a recommended approach and next steps for your GCC.