Infosys and Anthropic have announced a strategic collaboration to develop and deploy artificial intelligence agents for enterprises across telecommunications, financial services, manufacturing, and software development, marking a significant step toward enterprise-scale adoption of agentic AI systems. The partnership will initially focus on the telecom sector through a dedicated Anthropic Center of Excellence.
The collaboration combines Anthropic’s Claude family of large language models, including its AI-powered coding tool Claude Code, with Infosys Topaz, the company’s enterprise AI services suite. The joint offering is designed to move beyond conversational AI toward systems capable of independently executing complex, multi-step workflows such as processing insurance claims, conducting compliance reviews, generating software, and managing operational processes.
The companies said the initiative addresses a major challenge facing enterprise AI adoption — bridging the gap between experimental AI deployments and production-ready systems suitable for regulated industries. By combining advanced AI models with domain expertise across key sectors, the partnership aims to deliver scalable and compliant AI solutions aligned with enterprise governance requirements.
In telecommunications, AI agents will focus on network operations modernisation and customer lifecycle management. Financial services applications include risk detection, automated compliance reporting, and personalised advisory services, while manufacturing use cases centre on accelerating product design and simulation through faster iteration cycles. Software development is expected to be an early adoption area, with Infosys already deploying Claude Code internally to support code generation, testing, and debugging workflows.
A core component of the collaboration involves legacy system modernisation, where AI agents will assist enterprises in migrating and updating ageing infrastructure — a persistent challenge for large organisations operating in regulated environments. Both companies emphasised governance, transparency, and auditability as central elements of the deployment model.
The partnership reflects intensifying competition among AI providers seeking enterprise adoption in industries where accuracy, reliability, and regulatory compliance are critical. By leveraging the Claude Agent SDK, organisations will be able to build AI agents capable of continuous operation across long-running business processes rather than isolated tasks.
