Anthropic Partners with Infosys to Build AI Agents for Regulated Industries

BENGALURU: Anthropic and Infosys announced Monday a collaboration to develop and deliver enterprise AI solutions across telecommunications, financial services, manufacturing, and software development.

The partnership integrates Anthropic’s Claude models and Claude Code with Infosys Topaz, an AI-first platform using generative and agentic AI technologies, to help companies adopt AI with the governance and transparency that regulated industries require.

India is the second-largest market for Claude.ai, where nearly half of usage involves building applications, modernizing systems, and shipping production software. Infosys is one of the first partners in Anthropic’s expanded presence in India following the opening of its Bengaluru office.

The collaboration focuses on agentic AI systems that independently handle multi-step tasks like processing claims, generating and testing code, or managing compliance reviews using tools like the Claude Agent SDK.

The partnership will develop industry-specific AI agents across five key sectors. In telecommunications, agents will modernize network operations and simplify customer lifecycle management. In financial services, agents will detect risk, automate compliance reporting, and deliver personalized customer interactions.

Manufacturing and engineering teams will use Claude to accelerate product design and simulation, while software developers will leverage Claude Code to write, test, and debug code faster. Enterprise operations will deploy Claude Cowork to automate routine work including document summarization and status reporting.

“There’s a big gap between an AI model that works in a demo and one that works in a regulated industry. Infosys has exactly that kind of expertise across telecom, financial services, and manufacturing,” said Dario Amodei, CEO and co-founder of Anthropic.

The collaboration will also help organizations modernize legacy systems, combining Infosys Topaz and Claude to reduce the cost of updating aging infrastructure and accelerate migration timelines.