Coforge Limited has announced an expansion of its AgenticOps capabilities, designed to empower enterprises in building AI-driven autonomy securely and cost-effectively. This move addresses the growing demand for AI infrastructure and operations models needed for AI agents and autonomous systems, aiming to bridge gaps in governance, security, and control as organizations transition from AI pilots to production deployments.
Coforge Enhances AI Autonomy Solutions
Coforge Limited, a global AI-native engineering services leader, announced today the significant expansion of its AgenticOps capabilities. This strategic enhancement aims to help enterprises establish the operational foundation necessary for scaling AI-driven autonomy in a secure, resilient, and cost-effective manner. The announcement reflects a growing market demand for robust AI infrastructure and operations models specifically tailored for AI agents and autonomous systems.
Addressing AI Production Deployment Challenges
As businesses increasingly move from AI pilot projects to full-scale production deployments, they face challenges related to resiliency, security, and control. These include insufficient governance, agent drift, expanded attack vectors, and data security concerns. Coforge’s AgenticOps approach is engineered to overcome these hurdles by providing enterprises with the necessary governance, security, and trusted AI infrastructure for safe and scalable agentic AI operations. Key features include centralized controls, continuous monitoring for agent drift, zero-trust security measures, and flexible integration with existing tools for orchestration.
EvolveOps.AI at the Core
Central to this enhanced offering is EvolveOps.AI, the AgenticOps layer within Coforge’s Nuuron AI autonomy enablement suite. EvolveOps.AI delivers governance, control, and a unified enterprise-grade framework for operationalizing AI agents. It incorporates continuous evaluations, automated drift detection, token consumption monitoring, and a governed registry of approved tools and model control protocols (MCPs). Coforge reports working with over 160 clients on their AgenticOps journey, with 37 clients already achieving 98.2% accuracy across 392 secure environments.
Client Impact and Future Vision
Ashish Kumar, Global Head, Cloud & AI Infrastructure at Coforge, stated, “Autonomy at scale demands an operational foundation that holds under load, where security, governance, performance and cost are managed continuously rather than reviewed after the fact. AgenticOps is what allows enterprises to make that transition with confidence.” Early client deployments have already shown measurable outcomes, including faster threat remediation, improved operational resilience, and tighter control over token spend, enabling clients to move AI from experimentation into business-critical operations.
About Coforge
Coforge positions itself as an AI-native engineering services leader, integrating AI at the core of its design, build, and delivery processes for intelligent solutions. The company leverages AI agents and a specialized workforce, including FDEs in hybrid pod-based delivery units, to engineer autonomous enterprises. With a strong emphasis on trusted AI, Coforge ensures its solutions are secure, governed, and enterprise-grade, focusing on delivering measurable business outcomes such as lower operating costs, faster cycle times, higher conversion rates, and sustained margin growth.
Source: BSE
