Coforge has launched EvolveOps.AI, an agentic AI-powered IT operations management platform to help enterprises prepare for an AI-first era and improve business resiliency from the edge to the cloud.
The platform is built to deliver end-to-end autonomous operations across the lifecycle of enterprise systems running on hybrid cloud environments, the company said in a release.
EvolveOps.AI leverages purpose-built hybrid cloud architecture and agentic operations to drive agility, resilience and large-scale transformation.
Coforge said EvolveOps.AI is designed to amplify enterprises’ existing investments in observability, data fabric and automation platforms, accelerating the transition toward agentic AI-powered operations.
Built entirely on open-source technologies, the platform can be deployed rapidly using a repository of pre-built adapters and plug-ins, a fine-tuned, purpose-built small language model (SLM), and agentic AI resolver personas that can autonomously manage IT operations.
By applying AI and machine learning across a unified data fabric for technology operations, the platform aims to reduce operational noise, speed up incident lifecycle management and improve the reliability of mission-critical systems.
The tier-2 company claimed that enterprises using EvolveOps.AI have recorded a 25% reduction in system downtime, a 40% reduction in IT operational expenses, a 60% reduction in mean time to detection and resolution, and a 40% faster time to market for products.
“Our strategy for cloud and infrastructure is anchored in Mission Zero—Zero Disruption, Zero Touch, Zero Friction—for every cloud transformation we execute,” said Ashish Kumar, global business unit head – cloud, AI-infra, security and ServiceNow at Coforge, said in a statement.
“With EvolveOps.AI, we are operationalising that mission by infusing AI agents into every stage of the technology operations lifecycle. The platform helps our clients shift from reactive firefighting to proactive, autonomous operations, delivering higher resilience, improved developer productivity, and a superior experience for business users and customers,” he added
At the core of EvolveOps.AI is a combination of fine-tuned SLMs and deterministic models, which the company says delivers faster time-to-value while significantly reducing the cost to serve.
The company has developed 28 agentic personas so far, spanning roles such as site reliability engineering, infrastructure and cloud engineering, network engineering, Kubernetes engineering, command center engineering, service management, and FinOps.
These agentic personas are designed to analyse, reason, decide and act across complex IT scenarios.
The platform also incorporates enterprise-grade guardrails that allow organisations to switch between human-in-the-loop operations and fully autonomous modes, depending on governance and risk requirements.
EvolveOps.AI has been architected to integrate with major hyperscalers and leading IT operations management platforms.
Its Hybrid Cloud Manager module supports full-stack builds and policy-driven automation across Amazon Web Services, Microsoft Azure, Google Cloud Platform, Oracle Cloud Infrastructure, and private cloud environments. It also integrates with a broad ecosystem of observability, IT service management, security and automation tools.
According to the company, this approach allows enterprises to adopt autonomous operations without disrupting their existing technology landscapes, while standardising governance, FinOps and reliability practices across multi-cloud estates.
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