Coforge has launched EvolveOps.AI, an AI-driven, agent-based IT operations management platform designed to prepare enterprises for an AI-first era while enhancing business resilience from edge to cloud.
The platform aims to enable end-to-end autonomous operations across the full lifecycle of enterprise systems running in hybrid cloud environments, according to a company press release.
Powered by a purpose-built hybrid cloud architecture and agent-led operations, EvolveOps.AI is engineered to drive agility, resilience, and large-scale digital transformation.
It is designed to maximize existing investments in observability, data fabric, and automation platforms, accelerating the shift toward intelligent, AI-powered operations.
Fully built on open-source technologies, the platform can be rapidly deployed using pre-integrated adapters and plugins, fine-tuned domain-specific small language models (SLMs), and AI agent roles capable of autonomously managing IT operations.
By applying artificial intelligence and machine learning within a unified data framework, EvolveOps.AI seeks to minimize operational noise, streamline incident lifecycle management, and improve the reliability of mission-critical systems.
The mid-tier IT firm claims that enterprises using EvolveOps.AI have achieved a 25% reduction in system downtime, 40% lower IT operational costs, 60% faster mean time to detect and resolve issues, and a 40% acceleration in time to market.
"Our cloud and infrastructure strategy is rooted in the Zero Mission—zero disruption, zero touch, zero friction—for every cloud transformation," said Ashish Kumar, Global Head of Cloud, AI Infrastructure, Security, and ServiceNow Business Unit at Coforge.
"With EvolveOps.AI, we embed AI agents into every stage of the technology operations lifecycle, turning this vision into reality. It empowers our customers to transition from reactive firefighting to proactive, autonomous operations, boosting resilience, developer productivity, and delivering superior experiences for business users and customers," he added.
At its core, EvolveOps.AI combines finely tuned SLMs with deterministic models, which the company says not only accelerates time-to-value but also significantly reduces service delivery costs.
To date, Coforge has developed 28 distinct agent roles spanning Site Reliability Engineering, Infrastructure & Cloud Engineering, Network Engineering, Kubernetes Engineering, Command Center Operations, Service Management, and FinOps.
These agent roles are designed to analyze, reason, make decisions, and take action across complex IT scenarios.
The platform also includes enterprise-grade guardrails, enabling organizations to switch between human-in-the-loop and fully autonomous modes based on governance and risk requirements.
EvolveOps.AI is built to integrate seamlessly with major hyperscalers and leading IT operations management platforms.
Its Hybrid Cloud Manager module supports full-stack provisioning and policy-driven automation across Amazon Web Services, Microsoft Azure, Google Cloud Platform, Oracle Cloud Infrastructure, and private cloud environments. It also connects with a broad ecosystem of observability, IT service management, security, and automation tools.
This approach allows enterprises to adopt autonomous operations without disrupting their current technology landscape, while unifying governance, financial operations, and reliability practices across multi-cloud environments.
