Cognizant leverages Anthropic's Claude for enterprise-scale AI transformation

Cognizant, a leader in technology solutions, is harnessing the power of Anthropic's Claude, an advanced large language model (LLM), to shift its enterprise clients and internal teams from mere AI experimentation to achieving tangible business results at scale.

By merging the capabilities of the Claude model family with Cognizant's robust engineering platforms and industry blueprints, the initiative aims to deliver measurable impacts at an enterprise level. This collaboration pairs the Claude family alongside agentic tools, enhancing Cognizant's software engineering and platform offerings. Clients are poised to benefit from integrating AI with existing data applications, facilitating multi-step processes with human oversight, and managing performance, risk, and spending more efficiently.

Cognizant's strategy includes integrating offerings like Claude for Enterprise, Claude Code, and the Model Context Protocol (MCP) into client workflows. These enhancements will assist enterprises in moving swiftly from initial pilot projects to full-scale AI deployment. Simultaneously, Cognizant associates across key corporate functions and engineering teams will utilize Claude to boost productivity and further AI maturity.

The collaboration focuses on:

• Enhancing software engineering productivity: Deploying Claude and Claude Code with the Cognizant Flowsource™ Platform to streamline coding tasks, improve testing, documentation, and DevOps workflows.
• Legacy modernization: Using Cognizant’s frameworks and Anthropic's code transformation capabilities for rapid analysis and restructuring of extensive codebases.
• Agentification: Designing domain-specific agents and reusable multi-agent systems through Cognizant Neuro® AI Multi-Agent Orchestration alongside Anthropic's Agent SDK, incorporating explicit policies and human oversight.
• Industry solutions: Developing vertical solutions initially for Financial Services, embedding agentic workflows within regulated enterprise settings.
• Responsible AI practices: Establishing safe deployment and monitoring methods aligned with enterprise standards like MCP.

Cognizant intends to hold workshops, develop reference patterns, and offer platform integrations, enabling clients to discover and implement high-value AI use cases effectively, ensuring significant outcomes.

This partnership is set to redefine how enterprises incorporate AI, creating a more connected, agentic future where intelligent systems work synergistically with people to drive modernization and transformation across industries.