R Systems International, a leader in digital product engineering, has launched EXIQO, an AI Studio designed to enable enterprises to scale production-grade agentic AI across business and technology functions. This initiative addresses the challenges faced by organisations in operationalising agentic AI at scale, as only 15% of enterprises have achieved this according to research by R Systems and Everest Group.
EXIQO aims to overcome barriers such as integration complexity, governance risks, legacy system constraints, and talent readiness gaps. “Mid-market enterprises are at an inflection point, with access to powerful AI models opening up new possibilities to reimagine how engineering is done,” said Nitesh Bansal, CEO and Managing Director of R Systems. EXIQO combines enterprise context, embedded guardrails, and human oversight to deliver governed, enterprise-grade execution at scale.
The AI Studio is built on three pillars: AI Native Engineers, OptimaAI, and a delivery methodology. AI Native Engineers are evaluated on proven production delivery, with proficiency measured through 43+ parameters. They consistently deliver 40–55% sustained improvements in engineering velocity. OptimaAI is a unified platform for agentic business operations, SDLC acceleration, and legacy modernisation, integrating seamlessly with existing enterprise systems. The delivery methodology ensures easy onboarding and the fastest path to outcomes.
In early deployments, EXIQO has shown significant operational improvements, including a 40-55% uplift in productivity, up to 50% reduction in support and operational overhead, 50-70% automation in high-volume workflows, and up to 2X faster execution across teams. Pareekh Jain, Founder and CEO of tech advisory firm EIIRTrend, noted, “EXIQO reflects a pragmatic approach, combining talent, platform, and a governed methodology to help organisations scale agentic AI with confidence.”
To learn more about EXIQO, visit: www.exiqo.ai
Disclaimer: This article is based on a regulatory filing submitted to the National Stock Exchange of India (NSE).
This article is written by Yash Agarwal and reviewed by Aman Shukla before publication.