India has over 1,600 GCCs. All of them have AI upskilling mandates. Most are running generic corporate AI training programs that weren't designed for how GCCs actually work. Trendwise builds AI training programs around your GCC's specific delivery model, client context, and parent organisation's AI strategy.
India's GCC sector is the fastest-growing enterprise AI market in the world. Over 1,600 GCCs are operating in India in 2026 — employing 1.9 million people, with Bengaluru alone hosting over 400. Every major parent organisation has an AI strategy. Every GCC has an AI upskilling mandate to match.
But GCCs have a fundamentally different operating context from standalone enterprises — and most corporate AI training programs aren't built for it.
GCC engineers build for parent organisations across different geographies, tech stacks, and regulatory environments. AI training needs to address cross-border deployment, data residency, and multi-cloud patterns — not just generic cloud deployment.
GCC teams embed within parent organisation workflows. AI capability means being able to recommend, build, and deploy AI in a client-adjacent context — which requires stakeholder discovery and adoption skills, not just technical skills.
GCC L&D heads need programs that align with the parent organisation's AI strategy — but are delivered to India-based teams with different starting capability levels. One-size-fits-all doesn't work.
In a competitive market, GCCs that build genuine AI capability retain talent better than those offering generic upskilling. Engineers want to build real AI systems — not sit through slides about ChatGPT.
Every program is scoped around your GCC's delivery model, parent organisation's tech stack, and the specific AI use cases your team is being asked to build. No generic content.
For GCC heads, VP Engineering, and senior managers. AI strategy aligned to parent organisation goals, use-case prioritisation for GCC delivery context, AI governance across geographies, and building an AI-ready GCC culture.
Duration: 1 day · Format: In-person or virtual
Enquire →For GCC software developers and AI engineers. Prompt engineering, RAG architectures, Claude Code, MCP integration, and agentic workflows — all contextualised for parent organisation tech stacks and enterprise deployment patterns. Teams ship a working AI prototype on a real GCC use case.
Duration: 2-3 days · Format: In-person preferred
Enquire →For GCC engineering teams ready to build autonomous AI systems. Multi-agent design, n8n automation, MCP integration, and deployment patterns specific to GCC delivery environments — including cross-border data handling and parent organisation system integration.
Duration: 3 days · Format: In-person
View full program →The most strategic AI capability a GCC can build in 2026. GCC engineers who function as FDEs can discover requirements, build AI systems, deploy to the parent organisation's environment, and drive adoption — independently. This is exactly what parent organisations are asking GCCs to do.
Duration: 3 days · Format: In-person or virtual
View full program →Mohan Silaparasetty has trained teams at Samsung Research, Deloitte, Synechron, WNS, Quest Global, and 15+ other enterprises — many of which operate large GCC-style delivery centres in India. He understands the operating context: the delivery pressures, the parent organisation expectations, the talent dynamics, and the specific AI use cases GCC teams are being asked to build.
That context is what makes GCC-specific AI training different from generic corporate programs. The use cases, the deployment patterns, the governance requirements, and the adoption challenges are all different in a GCC environment — and the training needs to reflect that.
15 years deploying enterprise technology at global organisations — the same context GCC teams work in.
Across Samsung, Deloitte, Synechron, WNS, Quest Global and 15+ other enterprises with GCC-style delivery models.
One of the few enterprise AI trainers in India certified on Claude Code by Anthropic — delivering hands-on Claude Code training as part of GCC AI programs.
Based in Bengaluru — home to 400+ GCCs. In-person delivery across India. Remote delivery globally.
The most common mistake GCC L&D heads make is starting with the wrong program for the team's actual capability level. A 3-day Agentic AI bootcamp delivered to a team that hasn't mastered prompt engineering produces frustration, not results.
We always assess first. The Enterprise AI Maturity Framework covers 5 dimensions — and GCC teams typically have specific strengths and gaps that differ from standalone enterprise teams. Take the free 3-minute assessment to get an initial picture:
10 questions across 5 dimensions. Instant score. Recommended program for your GCC's current level.
Take the quiz →Discuss your GCC's delivery model, parent organisation's AI strategy, team capability level, and the right program mix — in 30 minutes.
Book a call →