Service 05 of 06 · Infrastructure Layer
Operational before
the first day.
Workspace, connectivity, security, and agentic AI toolchains in place before your team arrives. Your engineers start on day one ready to work — not waiting for a laptop, a login, or an access credential.
Every layer ready.
No delays on day one..
Infrastructure failures are the most common cause of slow GCC starts. The team arrives and the laptops aren’t there. The VPN isn’t configured. The development environment isn’t set up. The first week is lost to administration. In our model, everything is live and tested before the first team member walks in.
🏛
Workspace Setup
Fully fitted workspace in your chosen city — either a managed office in a Tier A business park, a co-working setup, or a dedicated floor depending on team size. Network, power, meeting rooms, and security access all configured before day one.
📋
Hardware & Device Management
Laptops, monitors, and peripherals procured and configured to your specifications. MDM enrolled. Security policies applied. Developer environments pre-installed. Every team member has a working machine on their first day.
👤
Security & Access Framework
VPN, SSO, MFA, and access control policies configured to your security standards. Data classification and DLP policies in place before any production access is granted. VAPT available for regulated industry requirements.
🔒
AI Toolchain Deployment
Your core AI development stack deployed and configured — model training infrastructure, experiment tracking (MLflow / W&B), vector databases, inference endpoints, and CI/CD pipelines for ML. The team starts building on day one, not configuring tools.
📊
Agentic Workflow Infrastructure
For teams deploying agentic AI systems — n8n, LangGraph, or custom orchestration infrastructure configured to your architecture. API gateway, rate limiting, and cost controls in place from the start.
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Communication & Collaboration Stack
Slack, Jira, Confluence, GitHub or equivalent — configured to match your global team’s workflow. The India team is integrated into your existing tools from day one, not operating in a separate environment.
The Process
Runs in parallel to
talent acquisition.
The other five
Capability System™ services.
01
GCC Digital Twin™ Simulation
See your complete GCC before you build it. Team, cost, and scaling roadmap in 48 hours.
02
Strategy & Capability Design
Model selection, architecture, location — decided before the first hire.
03
Legal & Compliance Setup
Entity, IP, HR compliance — structured for full ownership from day one.
04
AI Talent Acquisition
You approve every hire. Not a vendor bench — your team, sourced for you.
06
Operations & Governance
HR, payroll, compliance reporting — so your leaders focus on what matters.
Infrastructure designed for AI teams
Talk to a GCC architect about your infrastructure and toolchain requirements. We’ll map the setup before you commit.
Service Details
Follows
Talent Acquisition
Timeline
3–4 weeks
Output
Workspace + toolchain
Next step
Ops & Governance
PART OF THE SYSTEM
01 Digital Twin™
Done
02 Strategy Design
Done
03 Legal Setup
Done
04 Talent
Done
05 Infrastructure
← You are here
06 Governance
Done
Infrastructure & AI Tooling
Ready to work.
From day one.
Every engagement starts with a GCC Digital Twin. Infrastructure setup follows once the team and city are confirmed.