Infosys and Anthropic Partner to Accelerate Enterprise AI

Infosys and Anthropic Partner to Accelerate Enterprise AI

Infosys, a global leader in next-generation digital services and consulting, has announced a strategic collaboration with Anthropic, an AI safety and research company, to deliver advanced enterprise AI solutions across multiple industries. The partnership aims to help organizations in telecommunications, financial services, manufacturing, and software development adopt artificial intelligence to automate operations, improve efficiency, and accelerate innovation. The collaboration will begin in the telecommunications sector, where Infosys will establish a dedicated Anthropic Center of Excellence focused on building and deploying AI agents designed to support complex industry-specific operations.

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At the center of this partnership is the integration of Anthropic’s Claude AI models, including Claude Code, with Infosys Topaz, the company’s AI-first offering. This combined approach will enable enterprises to automate complex workflows, accelerate software development, and modernize legacy systems while maintaining the governance, transparency, and compliance standards required by regulated industries. By leveraging both organizations’ strengths, the collaboration is designed to move beyond simple automation and help enterprises reimagine their operating models using scalable and responsible AI solutions.

A key focus of the collaboration is the development and deployment of agentic AI systems capable of independently managing multi-step tasks across business processes. These AI agents can perform complex functions such as processing claims, generating and testing software code, and managing compliance reviews. Using tools like the Claude Agent SDK, Infosys and Anthropic will help organizations build AI systems that can operate continuously across long and sophisticated workflows, improving productivity while reducing operational costs. This capability will also help enterprises modernize aging infrastructure more efficiently and accelerate digital transformation initiatives.

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The collaboration is expected to deliver meaningful impact across several major industries. In telecommunications, AI agents will help service providers improve network operations, enhance customer lifecycle management, and deliver more efficient and reliable services. In financial services, the technology will support faster risk assessment, automate compliance reporting, and enable more personalized customer experiences through data-driven insights. Manufacturing and engineering organizations will benefit from faster product design and simulation capabilities, allowing engineers to test and refine innovations more efficiently. In software development, Claude Code will help development teams write, test, and debug code more quickly, enabling faster delivery of high-quality software. Infosys has already begun using Claude Code internally within its engineering teams to build expertise and strengthen its AI capabilities.

Dario Amodei, Chief Executive Officer and Co-Founder of Anthropic, highlighted the importance of combining advanced AI with deep industry knowledge, noting that deploying AI successfully in regulated industries requires both technological innovation and domain expertise. He emphasized that Infosys’ experience across key industries positions the collaboration to deliver practical, enterprise-ready AI solutions. Infosys CEO Salil Parekh also emphasized that AI is fundamentally transforming how businesses operate and innovate. He stated that the partnership represents a major step toward helping enterprises unlock the full value of AI, improve resilience, and operate more intelligently and responsibly.

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Through this strategic collaboration, Infosys and Anthropic aim to bridge the gap between AI innovation and real-world enterprise adoption. By combining advanced AI models with industry expertise and scalable engineering, the partnership will help organizations modernize operations, enhance decision-making, and accelerate long-term business transformation.

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