R Systems launches EXIQO to scale agentic AI in firms
R Systems has launched EXIQO, an AI Studio focused on agentic AI for enterprise use across business and technology teams.
The company is targeting organisations that have moved beyond limited AI pilots and now want to run autonomous agents across multiple functions. EXIQO combines enterprise context, embedded guardrails, and human oversight.
Agentic AI has drawn growing interest from corporate technology leaders as generative AI moves from chat interfaces into software workflows. It typically uses software agents to plan tasks, call tools and systems, and execute multi-step processes. Many organisations have started trials, but fewer have built the controls and operational practices needed for wider deployment.
Scaling challenges
R Systems pointed to research it commissioned from Everest Group, which put the share of enterprises that have operationalised agentic AI at scale at 15%. The research cited integration complexity, governance risks, legacy system constraints, and talent readiness gaps as barriers to broader deployment.
EXIQO combines people, software, and a delivery approach. R Systems said it brings together more than 1,400 AI-native engineers, its OptimaAI Suite, and a governed execution methodology.
"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," Bansal said.
Product structure
R Systems described EXIQO as built on three pillars: engineers, the OptimaAI platform, and a delivery methodology. The engineers are evaluated across more than 43 parameters, including code quality and system design. Experience is also measured by "merged code and shipped features across live client environments."
OptimaAI sits at the centre of EXIQO as the software component. R Systems described it as a unified platform for agentic business operations, software development lifecycle work, and legacy modernisation. It includes guardrails, policies, and compliance features, along with more than 150 digital agents and a library of reusable connectors, prompts, evaluations, and data models.
OptimaAI is designed to work with existing enterprise systems and preserve institutional knowledge. Customers can also choose which foundation models sit underneath.
The third pillar is a delivery methodology focused on onboarding and use-case selection. R Systems said it identifies and evaluates high-impact use cases, then builds solutions with outcomes, scalability, and cost efficiency in mind.
Early results
R Systems said early deployments delivered improvements against predefined business KPIs in live enterprise environments, including a 40% to 55% uplift in productivity and up to a 50% reduction in support and operational overhead.
Other reported results included 50% to 70% automation in high-volume workflows and up to two times faster execution across teams. R Systems also said EXIQO has been used to improve engineering throughput, reduce repetitive development effort, and strengthen release quality in enterprise environments.
Agentic AI has also increased scrutiny around governance, given the potential for automated systems to take action across production systems. Common concerns include access control, auditability, error handling, and the risk of agents behaving unpredictably when prompts, tools, or data sources change.
R Systems is emphasising controls as part of its market positioning. EXIQO combines embedded guardrails and human oversight with enterprise context. Pricing and customer names were not disclosed.
Pareekh Jain, Founder and CEO of tech advisory firm EIIRTrend, said organisations are formalising these deployments.
"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," Jain said.