Coforge Expands AgenticOps to Scale Enterprise AI Autonomy with 98.2% Accuracy

Coforge Strengthens Enterprise AI Infrastructure with Enhanced AgenticOps

Coforge Limited has announced significant momentum for its AgenticOps capabilities, addressing the operational challenges enterprises face when scaling AI-driven autonomy securely and cost-effectively1

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. The expansion reflects surging demand for AI infrastructure and operations models purpose-built for AI agent deployments and autonomous systems. Coforge is currently working with more than 160 clients to enable their AgenticOps journey, with 37 clients already experiencing 98.2% accuracy across 392 secure environments spanning AI workloads, cloud, and AI infrastructure1

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Addressing Critical Governance Gaps in AI Agent Deployments

As organizations transition from AI pilots to production deployments, agent fleets expose resiliency, security and control gaps that conventional operating models never anticipated2

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. These governance gaps include insufficient controls, agent drift, widening attack vectors, unreliable tool integration and orchestration, data security and sovereignty exposure, limited agent accuracy and observability, and escalating token consumption costs. Coforge's AgenticOps approach directly targets these security vulnerabilities, providing enterprises the governance, security, and trusted AI infrastructure needed to run agentic AI safely at enterprise autonomy at scale1

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EvolveOps.AI Powers Centralized Controls and Real-Time Observability

At the center of Coforge's offering is EvolveOps.AI, the AgenticOps layer within the Coforge Nuuron enablement suite2

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. EvolveOps.AI delivers governance, control, and a single enterprise-grade harness for operationalizing agents. The platform includes continuous evaluations and automated drift detection, token consumption monitoring, and a governed registry of approved tools and model control protocols. This unified harness replaces the fragmented tooling that typically leaves agent programs stranded in pilot phase. The system provides centralized controls and continuous monitoring to detect and correct agent drift, while embedding zero-trust security to guard against emerging attack vectors1

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Moving AI from Pilot to Production with Intelligent Token Optimization

Coforge's AgenticOps gives enterprises the confidence to move agentic AI from pilot to production through built-in data security and sovereignty controls, real-time observability, and intelligent token optimization2

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. According to Ashish Kumar, Global Head of Cloud & AI Infrastructure at Coforge, "The intelligence layer and the data capabilities beneath it are now well understood. What decides how far an enterprise can actually take autonomy is the strength of its AgenticOps foundation. Autonomy at scale demands an operational framework that holds under load, where security, governance, performance and cost are managed continuously rather than reviewed after the fact"1

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Early Deployments Deliver Measurable Threat Remediation and Cost Control

Early client deployments have delivered measurable outcomes for enterprise AI operations, including significantly faster threat remediation, improved operational resilience, and tighter control of token spend2

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. By pairing autonomy with governance and accountability, Coforge helps clients scale AI-driven autonomy from experimentation into business-critical operations. The platform's flexibility to integrate with existing tools enables reliable, scalable orchestration across agentic systems, positioning enterprises to manage their AI infrastructure with the same rigor applied to traditional operational frameworks1

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