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Infosys Teams Up With Anthropic to Build Enterprise AI Agents

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Infosys Teams Up With Anthropic to Build Enterprise AI Agents
18 Feb 2026
min read

News Synopsis

Indian IT major Infosys on Tuesday announced a strategic collaboration with artificial intelligence firm Anthropic to co-develop and deliver advanced AI-driven solutions for enterprises across industries such as telecom, financial services, manufacturing and software development.

Following the announcement, shares of Infosys ended nearly 2% higher on the BSE, reflecting positive investor sentiment toward the company’s AI-focused growth strategy.

The partnership comes at a time when domestic IT services stocks have faced pressure amid concerns that generative AI tools could disrupt traditional outsourcing and services business models. Notably, part of the recent sell-off was triggered by the launch of an AI tool by Anthropic, which raised questions about automation replacing certain IT functions.

Telecom Sector to Lead with New AI Center of Excellence

Dedicated Anthropic CoE to Build AI Agents

The collaboration will begin with the telecom sector, where Infosys and Anthropic will establish a dedicated Anthropic Center of Excellence (CoE). The CoE will focus on designing and deploying specialised AI agents tailored to enterprise needs.

The partnership aims to modernise enterprise operating models by combining Infosys’ deep industry expertise with Anthropic’s frontier AI capabilities and engineering scale. The objective is to create AI-powered solutions that are production-ready and compliant with industry regulations.

Bridging the Gap Between Demo AI and Real-World Deployment

Anthropic CEO and co-founder Dario Amodei highlighted the importance of domain knowledge in regulated industries.

“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. Their developers are already using Claude Code to accelerate their work and create AI agents for industries that demand precision, compliance and deep domain knowledge,” he said.

Focus on Agentic AI for Enterprise Transformation

The core emphasis of the partnership will be on agentic AI—intelligent systems capable of autonomously handling complex, multi-step tasks such as:

  • Processing insurance claims

  • Generating and testing software code

  • Managing regulatory compliance reviews

  • Automating operational workflows

With tools like Anthropic’s Claude Agent SDK, the companies plan to develop AI agents capable of operating within long, intricate enterprise processes.

Leveraging Infosys Topaz and Claude

By combining Infosys Topaz—its AI-first suite of services—with Anthropic’s Claude models, enterprises can modernise legacy systems more efficiently. The collaboration aims to accelerate digital migration while reducing the cost and complexity associated with upgrading outdated infrastructure.

Industry-Specific AI Applications

Telecom Transformation

In the telecom industry, AI agents are expected to help service providers:

  • Modernise network operations

  • Streamline customer lifecycle management

  • Enhance service delivery efficiency

Financial Services Modernisation

Within financial services, AI agents will assist with:

  • Intelligent risk management

  • Automated compliance reporting

  • Personalised customer engagement

Infosys CEO Salil Parekh commented on the broader impact of the collaboration:

“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,” he said.

Manufacturing and Engineering Innovation

In manufacturing and engineering, Anthropic’s Claude will help speed up product design and simulation processes. This could shorten research and development (R&D) timelines, allowing engineers to test more iterations before moving to production.

AI in Software Development

For software teams, Claude Code will assist in writing, debugging and testing code, improving development speed and efficiency. Infosys has already deployed Claude Code internally as part of its Exponential Engineering initiative to build AI capabilities and strengthen client delivery models.

Responsible AI and Strategic Fit

Anthropic’s Chief Commercial Officer Paul Smith stated that the company’s focus on building AI responsibly aligns well with Infosys’ experience in managing multiple technology cycles across industries and geographies over four decades.

The partnership reflects a broader trend in which traditional IT services companies are aligning with AI-native firms to stay competitive amid rapid technological disruption.

Broader Industry Context

Just a day prior at its Builder Summit in Bengaluru, Anthropic announced enterprise partnerships with Cognizant and Air India.

Infosys, like several global IT players, has been actively expanding its AI partnerships. Earlier this year, it announced a collaboration with Cognition, an AI coding agent platform, reinforcing its push toward AI-driven transformation.

As generative AI reshapes the technology services landscape, such collaborations are increasingly seen as essential for delivering next-generation enterprise solutions.

Conclusion

The strategic alliance between Infosys and Anthropic marks a significant step in enterprise AI adoption, particularly in regulated and complex industries. By focusing on agentic AI and combining domain expertise with advanced AI tools like Claude, the partnership aims to bridge the gap between experimental AI models and scalable enterprise-grade deployments.

At a time when IT firms face uncertainty over AI-led disruption, this collaboration signals Infosys’ intent to position itself at the forefront of AI transformation. With telecom as the starting point and expansion planned across multiple sectors, the partnership could play a key role in redefining enterprise operating models in the AI era.

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