R Systems International Limited Appoints Farooq Ahmad as Chief Revenue Officer

2 min read     Updated on 31 Mar 2026, 11:05 PM
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AI Summary

R Systems International Limited has strategically appointed Farooq Ahmad as Chief Revenue Officer, effective March 30, 2026, to strengthen its leadership team and accelerate growth across key markets. Ahmad, who will be based in California, brings nearly three decades of IT services experience from senior roles at Brillio and HCL Technologies, and will focus on deepening enterprise footprint in AI-led digital product engineering services.

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R Systems International Limited has announced the appointment of Mr. Farooq Ahmad as Chief Revenue Officer, effective March 30, 2026. The company disclosed this development through an official press release dated March 31, 2026, under Regulation 30 of SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015.

Strategic Leadership Addition

The appointment represents a strategic move to strengthen R Systems' leadership team and accelerate growth across key markets. Based out of California, Ahmad will lead the company's global sales engine, focusing on deepening enterprise footprint and expanding presence in key markets as organizations move from AI experimentation to enterprise-wide deployment.

Parameter: Details
Position: Chief Revenue Officer
Appointment Date: March 30, 2026
Location: California, USA
Focus Areas: Global sales, enterprise growth, AI-led digital product engineering
Regulatory Status: Senior management member

Professional Background and Experience

Mr. Farooq Ahmad brings nearly three decades of experience in the IT services industry, with expertise spanning global business development, profit and loss management, and client leadership across industries. His recent professional experience includes senior leadership positions at prominent technology companies, most recently serving as Regional Revenue Officer and Managing Director at Brillio. He has also held senior leadership roles at the high-tech industry business of HCL Technologies.

Educational Qualifications

Ahmad's educational background combines technical and business expertise, providing a strong foundation for his leadership role in the technology sector.

Qualification: Institution
B.Sc. Engineering: Z.H. College of Engineering & Technology, AMU, Aligarh
MBA: Elkin B. McCallum Graduate School of Business, Bentley University, Massachusetts, USA

Leadership Perspectives

Nitesh Bansal, Managing Director & CEO of R Systems, emphasized the strategic importance of this appointment, stating that Ahmad joins with a clear focus on helping clients translate their priorities into scalable, real-world outcomes. The CEO highlighted Ahmad's strong combination of client insight, sector depth, and execution discipline as key attributes for the company's next phase of growth.

Ahmad expressed his enthusiasm about joining R Systems, noting the strength of the company's engineering culture and the trust it has built with clients over time. He emphasized his excitement to work with teams to translate the company's momentum into sustained growth.

Regulatory Compliance

The appointment was formally communicated to both the National Stock Exchange of India Limited and BSE Limited through a press release dated March 31, 2026. The disclosure follows SEBI regulations and reinforces R Systems' focus on strengthening its leadership team to enable long-term, scalable growth in AI-led digital product engineering services.

Historical Stock Returns for R Systems International

1 Day5 Days1 Month6 Months1 Year5 Years
+9.48%+1.58%-11.48%-36.15%-22.02%+125.18%

How will R Systems' revenue growth trajectory change under Ahmad's leadership given his focus on AI-led digital product engineering services?

What specific enterprise markets is R Systems likely to target for expansion with Ahmad's California-based operations?

Will Ahmad's appointment signal a shift in R Systems' competitive positioning against other IT services companies in the AI space?

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R Systems Launches EXIQO AI Studio to Promote Large-Scale AI Integration

2 min read     Updated on 18 Mar 2026, 07:33 PM
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AI Summary

R Systems International has unveiled EXIQO AI Studio, addressing the market gap where only 15% of enterprises have successfully operationalized agentic AI at scale. The platform delivers significant performance improvements including 40-55% productivity uplift and up to 2X faster execution speed across teams.

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R Systems International Limited has unveiled EXIQO, an AI Studio designed to enable enterprises to scale production-grade agentic AI across business and technology functions. The launch addresses a critical market gap where only 15% of enterprises have successfully operationalized agentic AI at scale, according to research commissioned by R Systems and produced by Everest Group.

Market Challenge and Opportunity

As organizations move beyond AI pilots toward autonomous agents, they face significant barriers to enterprise-wide deployment. The research identifies key challenges including integration complexity, governance risks, legacy system constraints, and talent readiness gaps that prevent successful scaling of agentic AI solutions.

"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 Platform Architecture

EXIQO operates on a people-led, platform-amplified approach built around three core pillars:

Component: Details
AI Native Engineers: 1,400+ engineers evaluated on 43+ parameters spanning code quality, system design, and real-world impact
OptimaAI Platform: Unified platform with 150+ digital agents, reusable connectors, prompts, evaluations, and data models
Delivery Methodology: Governed execution approach for identifying high-impact use cases and building scalable solutions

The platform combines enterprise context, embedded guardrails, and human oversight to deliver governed, enterprise-grade execution at scale. OptimaAI features enterprise-grade guardrails, policies, and compliance capabilities built on a standards-ready architecture that integrates seamlessly with existing enterprise systems.

Performance Metrics and Engineering Efficiency

EXIQO has been successfully deployed to improve engineering throughput, reduce repetitive development effort, and strengthen release quality across enterprise environments. Early deployments have delivered measurable operational improvements:

Performance Metric: Improvement
Productivity Uplift: 40-55%
Support and Operational Overhead Reduction: Up to 50%
High-Volume Workflow Automation: 50-70%
Execution Speed Across Teams: Up to 2X faster

These results were measured against predefined business KPIs in live enterprise environments, demonstrating the platform's ability to deliver sustained improvements in engineering velocity and operational efficiency.

Industry Expert Perspective

"Enterprises are moving from isolated AI experiments to orchestrated, agent-driven execution, but scaling this shift requires more than just access to models," said 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."

Strategic Positioning for Large-Scale Integration

The EXIQO launch positions R Systems to address the growing demand for enterprise-scale AI solutions that can deliver consistent and reliable autonomous agent deployment. The platform's emphasis on governance, enterprise readiness, and proven delivery methodology addresses the key barriers that have prevented widespread adoption of agentic AI in enterprise environments.

EXIQO is designed for easy onboarding with a well-defined approach that helps organizations identify and evaluate high-impact use cases while building solutions with outcomes, scalability, and cost efficiency in mind.

Historical Stock Returns for R Systems International

1 Day5 Days1 Month6 Months1 Year5 Years
+9.48%+1.58%-11.48%-36.15%-22.02%+125.18%

How will R Systems compete with major cloud providers like Microsoft, Google, and AWS who are also developing enterprise AI platforms?

What specific industries or use cases is R Systems targeting first for EXIQO deployment beyond general enterprise applications?

Will R Systems consider partnerships with existing enterprise software vendors to integrate EXIQO capabilities into popular business platforms?

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