Cognizant partners with Anthropic to expand enterprise AI adoption using Claude

Cognizant has announced that it is adopting Anthropic’s Claude large language model (LLM) family to help enterprises move from AI testing to large-scale implementation. The company will use Claude to support both client solutions and its internal operations, aiming to integrate AI more deeply across business processes.

The collaboration combines Anthropic’s Claude models and agentic tools with Cognizant’s engineering platforms and industry frameworks. Cognizant plans to align its software engineering and platform offerings with Anthropic’s technologies, including Claude for Enterprise, Claude Code, the Model Context Protocol (MCP), and the Agent SDK. These tools are designed to help clients connect AI systems with existing data and applications, manage workflows with human oversight, and monitor performance, risk, and costs.

By using Claude, the IT services provider aims to help clients move faster from pilot projects to production, improving their ability to scale AI systems across the organization. Internally, Cognizant will roll out Claude to teams across corporate functions and engineering to support productivity and AI skill development.

Ravi Kumar S, CEO of Cognizant, said, “By pairing Anthropic’s Claude models and agentic tooling with Cognizant’s suite of platforms and industry expertise, we will help clients build the foundations of an agentified enterprise where intelligent systems collaborate with people to accelerate modernization, engineering and industry transformation.”

Paul Smith, Chief Commercial Officer at Anthropic, said, "Companies require trusted AI that combines cutting-edge performance with safety and reliability, which is why hundreds of thousands of businesses trust Claude." 

The initial focus areas include improving software engineering productivity, accelerating legacy system modernization, designing AI agents for enterprise use, developing industry-specific solutions starting with financial services, and advancing responsible AI governance.