R Systems International Limited, a global leader in digital product engineering, has launched EXIQO, an AI Studio aimed at enabling enterprises to scale production-grade agentic AI across various business and technology functions. The announcement was made in Greater Noida, India, and El Dorado Hills, California, marking a significant step in helping organizations transition from isolated AI pilots to autonomously driven execution.
Recent research commissioned by R Systems and conducted by Everest Group reveals that only 15% of enterprises have successfully operationalized agentic AI at scale. Challenges such as integration complexity, governance risks, legacy system constraints, and talent readiness gaps have hindered broader adoption. “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. “Unlocking this opportunity calls for enterprise readiness, strong engineering discipline, and robust governance.”
EXIQO is designed to meet these needs through a unified approach that combines human oversight with advanced technology. It harnesses the expertise of over 1,400 AI-native engineers, along with R Systems’ proprietary OptimaAI Suite and a governed execution methodology. This combination aims to deliver enterprise-grade execution at scale while ensuring compliance and operational efficiency.
The AI Studio is built on three foundational pillars. First, the team of AI native engineers is evaluated against 43 metrics that encompass code quality, system design, and real-world impact. Their hands-on experience allows them to achieve sustained improvements in engineering velocity, reportedly enhancing productivity by 40–55%.
Second, the OptimaAI platform serves as a unified hub for agentic business operations, software development lifecycle (SDLC) acceleration, and legacy modernization. It integrates enterprise-grade guardrails and compliance measures while offering a rich ecosystem of over 150 digital agents and a library of reusable connectors, prompts, evaluations, and data models. This adaptable architecture ensures seamless interaction with existing enterprise systems while preserving institutional knowledge.
Lastly, EXIQO employs a well-defined delivery methodology that facilitates swift onboarding and rapid achievement of outcomes. This approach identifies high-impact use cases and builds scalable solutions that prioritize cost efficiency and measurable results.
Initial deployments of EXIQO have shown promising operational improvements. In live enterprise environments, the solution has produced outcomes such as a 40-55% uplift in productivity, up to a 50% reduction in support and operational overhead, and automation levels of 50-70% in high-volume workflows. Furthermore, it has enabled execution that is up to twice as fast across various teams.
As enterprises transition from isolated AI experiments to orchestrated, agent-driven execution, the need for a pragmatic approach becomes clear. “Scaling this shift requires more than just access to models,” noted Pareekh Jain, Founder and CEO of tech advisory firm EIIRTrend. “EXIQO reflects a pragmatic approach, combining talent, platform, and a governed methodology to help organizations scale agentic AI with confidence.”
For organizations looking to explore the capabilities of EXIQO, further information is available at www.exiqo.ai, while details about R Systems can be found at www.rsystems.com.
About R Systems: R Systems is a global product engineering and digital solutions provider, specializing in complex engineering, data and AI, and cloud-native capabilities. The company aims to leverage automation and agentic AI to enhance productivity and transform customer experiences across various industry verticals.
For media inquiries, please contact Mansha Gagneja at [email protected].
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