Join R Systems at
Date: 26th November 2025 | Venue: Sheraton Whitefield, Bengaluru | Booth: #5
Join us at ET GCC Annual Conclave 2025 to explore how R Systems GCC Co-Pilot is redefining the way enterprises build, operate, and scale high-performance global capability centers. Designed for speed, governance, and continuous evolution, the Co-Pilot brings together the best of AI-assisted engineering, process intelligence, and automation orchestration to help GCCs evolve from transactional delivery hubs into strategic innovation engines.
Discover how global enterprises are using GCC Co-Pilot to accelerate setup timelines, automate routine workflows, and establish data-driven decision frameworks that improve agility, productivity, and compliance. With deep domain expertise and production-grade AI frameworks, R Systems helps enterprises achieve measurable gains in velocity, quality, and cost efficiency—turning GCCs into self-sustaining ecosystems of innovation.
Meet our team to discuss your transformation priorities—from modernization and AI enablement to talent productivity, security, and regulatory alignment—and learn how R Systems can help your GCC unlock the next phase of growth through governed GenAI adoption and intelligent engineering.
At the Economic Times GCC Annual Conclave 2025, R Systems will unveil a new report developed in collaboration with NASSCOM and Oliver Wyman, titled “Forging Ahead: Strategic Partnerships Between GCCs and Service Providers.”
This exclusive industry study explores how next-generation GCCs are redefining speed, scalability, and innovation through AI-led collaboration and co-engineering partnerships. The report highlights emerging models where GCCs and service providers co-own value creation, balance governance with agility, and accelerate enterprise transformation.
At the conclave, R Systems’ CEO Nitesh Bansal and the leadership team will be available to discuss key insights and frameworks from the report, share perspectives on how AI and digital engineering are reshaping global operations, and demonstrate how R Systems is helping enterprises build high-impact GCCs that innovate at scale.

Paragraph - Join us at GCC Annual Conclave 2025 to explore how RSI GCC Co-pilot is redefining the way enterprises build, operate, and scale high-performance global capability centers. Designed for speed, governance, and continuous evolution, the Co-pilot brings together the best of AI-assisted engineering, process intelligence, and automation orchestration to help GCCs evolve from transactional delivery hubs into strategic innovation engines.
Discover how global enterprises are using RSI GCC Co-pilot to accelerate setup timelines, automate routine workflows, and establish data-driven decision frameworks that improve agility, productivity, and compliance. With deep domain expertise and production-grade AI frameworks, R Systems helps enterprises achieve measurable gains in velocity, quality, and cost efficiency—turning GCCs into self-sustaining ecosystems of innovation.
Meet our team to discuss your transformation priorities—from modernization and AI enablement to talent productivity, security, and regulatory alignment—and learn how R Systems can help your GCC unlock the next phase of growth through governed GenAI adoption and intelligent engineering.
The GCC Co-Pilot is R Systems’ Build–Operate–Scale engine that transforms GCCs into AI-enabled, high-performance operations—ready in ≤90 days. With 25 years of engineering DNA, GenAI-first delivery, and automation accelerators, it boosts velocity 2–3× while ensuring zero IP risk and full compliance. Designed for both new and mature centers, it elevates GCCs from cost centers to innovation engines.
GenAI C-Osmosis is the AI engine embedded in every Co-Pilot engagement — a pod-based model that brings GenAI directly into your dev flow. Pods deliver real features using LLM agents for code, tests, and documentation with strict privacy-mode controls. In weeks, teams achieve 27% higher velocity and 54% faster PR cycles, with ROI visible in eight weeks. C-Osmosis turns AI into a governed, scalable engineering advantage.
QLA generates high-fidelity, privacy-safe synthetic data for CI/CD and ML pipelines by learning your enterprise schemas—cutting release cycles 3× and environment setup time by 60% in eight weeks. Validated across regulated industries, it anchors continuous quality and responsible AI testing in GCCs.
OptimaAI is R Systems’ enterprise AI and automation suite that connects engineering, data, and operations into one intelligence layer. As the control plane of the Co-Pilot model, it drives AI-assisted development, self-healing pipelines, FinOps automation, and observability. Built for secure, GDPR/SOC 2–aligned, multi-cloud GCCs, OptimaAI enables AI-first governance and resilient, scalable innovation.