Infosys has announced a strategic collaboration with AI research company Anthropic to develop enterprise AI solutions for regulated and operationally complex industries, beginning with telecommunications.
The partnership will integrate Anthropic’s Claude models, including Claude Code, with Infosys’ Topaz AI offerings. The companies said the initial focus will be on establishing a dedicated Anthropic Center of Excellence for the telecommunications sector, with plans to expand into financial services, manufacturing and software development.
The collaboration centres on deploying AI systems capable of handling multi-step, domain-specific processes in regulated environments. A key emphasis is on agentic AI — systems designed to autonomously manage extended workflows such as claims processing, compliance reviews, code generation and testing.
Using Anthropic’s Claude models and associated tools, including the Claude Agent SDK, Infosys aims to help enterprises automate complex operations while maintaining governance and transparency requirements typical of regulated industries. The companies also said the partnership will support legacy system modernisation, combining AI-driven automation with infrastructure migration efforts.
In telecommunications, the focus will be on network operations, customer lifecycle management and service delivery automation. In financial services, proposed use cases include risk assessment, compliance reporting and personalised customer interactions. In manufacturing and engineering, AI tools are expected to support product design and simulation workflows. For software development teams, Claude Code will be used to assist with writing, testing and debugging code.
Infosys said it is already deploying Claude Code internally within its engineering organisation to build expertise ahead of broader client rollouts.
The announcement reflects growing demand for enterprise AI deployments that extend beyond pilot projects into production environments requiring regulatory compliance, domain knowledge and operational integration.
