R Systems International Limited, a global leader in digital product engineering, today announced the launch of EXIQO, an AI Studio designed to enable enterprises scale production-grade agentic AI across business and technology functions.
As organizations move beyond AI pilots toward autonomous agents, they are seeking ways to scale execution in a consistent and reliable manner. According to research commissioned by R Systems and produced by Everest Group, only 15% enterprises have successfully operationalized agentic AI at scale, citing integration complexity, governance risks, legacy system constraints and talent readiness gaps as barriers to enterprise-wide deployment.
“Mid-market enterprises are at an inflection point, with access to powerful AI models opening up new possibilities to reimagine how engineering is done. Unlocking this opportunity calls for enterprise readiness, strong engineering discipline, and robust governance,” said Nitesh Bansal, CEO and Managing Director of R Systems. “EXIQO brings these together through a unified, people-and-platform execution approach designed to accelerate engineering velocity and deliver sustained, measurable impact.”
People-led, platform-amplified, EXIQO is an AI Studio by R Systems built to accelerate engineering velocity. It brings together 1,400+ AI-native engineers, R Systems’ proprietary OptimaAI Suite, and governed execution methodology. EXIQO combines enterprise context, embedded guardrails, and human oversight to deliver governed, enterprise-grade execution at scale.
EXIQO is built on three pillars:
- AI Native Engineers: Talent that is evaluated on proven production delivery, with proficiency measured through 43+ parameters spanning code quality, system design, and real-world impact. Their expertise is built on hands-on experience, reflected in merged code and shipped features across live client environments. Leveraging OptimaAI and the governed delivery methodology, they consistently deliver 40–55% sustained improvements in engineering velocity.
- OptimaAI: It is a unified platform for agentic business operations, SDLC acceleration, and legacy modernization. It brings together enterprise-grade guardrails, policies, and compliance with a rich ecosystem of 150+ digital agents and a library of reusable connectors, prompts, evaluations, and data models. Built on a standards-ready architecture, OptimaAI integrates seamlessly with existing enterprise systems, preserves institutional knowledge, and provides the flexibility to choose underlying foundation models.
- Delivery methodology: EXIQO is designed for easy onboarding and the fastest path to outcomes. Using a well-defined approach, the methodology helps identify and evaluate high-impact use cases, and build solutions with outcomes, scalability, and cost efficiency in mind.
EXIQO has been successfully deployed to improve engineering throughput, reduce repetitive development effort, and strengthen release quality across enterprise environments. In early deployments, measured against predefined business KPIs in live enterprise environments, EXIQO has delivered measurable operational improvements, including:
- 40-55% uplift in productivity
- Up to 50% reduction in support and operational overhead
- 50-70% automation in high-volume workflows
- Up to 2X faster execution across teams
“Enterprises are moving from isolated AI experiments to orchestrated, agent-driven execution, but scaling this shift requires more than just access to models. EXIQO reflects a pragmatic approach, combining talent, platform, and a governed methodology to help organizations scale agentic AI with confidence,” said Pareekh Jain, Founder and CEO of tech advisory firm EIIRTrend.
To learn more about EXIQO, visit: www.exiqo.ai
To learn more about R Systems, visit: www.rsystems.com
