Infosys (NSE, BSE, NYSE: INFY), a global leader in digital services and consulting, has announced a strategic collaboration with Anthropic, an AI safety and research company, to develop and deliver advanced enterprise AI solutions across telecommunications, financial services, manufacturing, and software development. The partnership will initially focus on the telecommunications sector, where a dedicated Anthropic Center of Excellence will be established to design and deploy AI agents tailored to industry-specific requirements.
At the core of this collaboration is the integration of Anthropic’s Claude models, including Claude Code, with Infosys Topaz AI offerings. The combined capabilities are aimed at helping enterprises automate complex workflows, accelerate software delivery, and implement AI solutions with governance and transparency frameworks suited for highly regulated industries. The companies are positioning the partnership not merely as a productivity initiative but as a broader effort to reshape enterprise operating models using domain expertise, advanced AI, and large-scale engineering capabilities.
The first phase in telecommunications will focus on modernizing network operations, improving customer lifecycle management, and enhancing service delivery. Telecom operators, often operating in highly regulated and operationally complex environments, are expected to benefit from intelligent automation designed specifically for their workflows. The collaboration will then expand into financial services, manufacturing, and software development, bringing industry-focused AI solutions to a wider client base.
A central theme of the partnership is agentic AI, which refers to systems capable of independently handling multi-step tasks rather than simply responding to prompts. Using tools such as the Claude Agent SDK, Infosys and Anthropic plan to enable enterprises to build AI agents that can persist across extended and complex processes. These applications may include processing insurance claims, conducting compliance reviews, generating and testing software code, and managing operational workflows that require precision and auditability.
In financial services, AI agents developed under this collaboration are expected to help firms accelerate risk detection and assessment, automate compliance reporting, and enhance customer engagement through more personalized interactions. In manufacturing and engineering, Claude models are intended to support faster product design and simulation cycles, enabling engineers to test more iterations digitally and reduce overall research and development timelines. In software development, teams will use Claude Code to write, test, and debug applications more efficiently, helping accelerate the journey from design to production. Infosys has already begun deploying Claude Code internally within its Exponential Engineering organization to develop practical expertise and establish best practices for client implementations.
The collaboration also emphasizes modernization of legacy systems. By combining Infosys Topaz with Anthropic’s Claude models, enterprises can potentially streamline migration initiatives, upgrade aging infrastructure, and reduce the cost and complexity associated with maintaining outdated technology environments. This aspect is particularly relevant for industries where regulatory oversight and operational continuity are critical.
Dario Amodei, Chief Executive Officer and Co-Founder of Anthropic, highlighted the importance of domain expertise when deploying AI in regulated sectors, noting that moving from demonstration-level AI to production-ready systems requires deep industry understanding. Salil Parekh, Chief Executive Officer of Infosys, described the partnership as a strategic step toward advancing enterprise AI adoption and enabling organizations to become more intelligent, resilient, and responsible in their operations.
