Anthropic and Infosys Team Up to Build Enterprise AI Agents for Regulated Industries

The companies said the joint effort aims to close the gap between experimental AI deployments and production-ready systems for regulated sectors.

Anthropic and Infosys Team Up to Build Enterprise AI Agents for Regulated Industries

Anthropic and Infosys have announced a strategic collaboration to develop and deploy enterprise-grade artificial intelligence agents tailored for highly regulated industries including telecommunications, financial services, manufacturing and software development.

The partnership will combine Anthropic’s Claude models and developer tools with Infosys Topaz, the company’s AI-first services and platforms suite, to help enterprises adopt agentic AI while maintaining governance, transparency and compliance requirements.

The companies said the joint effort aims to close the gap between experimental AI deployments and production-ready systems for regulated sectors.

“There’s a big gap between an AI model that works in a demo and one that works in a regulated industry—and if you want to close that gap, you need domain expertise. Infosys has exactly that kind of expertise across important industries: telecom, financial services, and manufacturing. Their developers are already using Claude Code to accelerate their work and to create AI agents for industries that demand precision, compliance, and deep domain knowledge,” said Dario Amodei, CEO and Co-founder of Anthropic.

“From modernising financial services with intelligent risk management and compliance, to enabling engineering businesses to lead with AI-driven design and manufacturing, the goal is to leverage the joint expertise of Infosys and Anthropic to accelerate AI value realisation for global enterprises,” said Salil Parekh, Chief Executive Officer, Infosys.

The collaboration will focus on building agentic AI systems capable of handling multi-step enterprise workflows such as compliance reviews, risk assessment, coding and operational automation. The companies also plan to help enterprises modernize legacy infrastructure and deploy AI agents across complex workflows as adoption accelerates globally.