Infosys Partners with Anthropic to Accelerate Enterprise AI Adoption Across Key Industries
Strategic Collaboration to Deliver Advanced AI Solutions
Infosys has announced a strategic collaboration with AI research and safety firm Anthropic to develop and deploy advanced enterprise artificial intelligence (AI) solutions across multiple industries. The partnership will initially focus on the telecommunications sector before expanding into financial services, manufacturing, and software development.
The collaboration underscores a shared objective: to move beyond experimental AI deployments and deliver scalable, secure, and industry-ready AI systems capable of driving meaningful business transformation.
Telecom Sector to Lead the Rollout
The partnership will begin with the establishment of a dedicated Anthropic Center of Excellence within the telecommunications sector. This center will focus on designing and deploying AI agents tailored to telecom-specific operations.
In telecom, AI agents are expected to:
- Modernize network operations
- Streamline customer lifecycle management
- Enhance service delivery efficiency
By embedding AI into core operational workflows, telecom providers can improve responsiveness, reduce operational bottlenecks, and enhance customer experience.
Integration of Claude Models with Infosys Topaz
At the core of the collaboration is the integration of Anthropic’s Claude AI models, including Claude Code, with Infosys’ Topaz AI platform. This combination is designed to help enterprises automate complex workflows while maintaining governance, transparency, and compliance — especially critical in regulated industries.
The integration aims to:
- Automate multi-step enterprise processes
- Accelerate software development cycles
- Ensure AI adoption with built-in governance controls
- Enhance operational efficiency without compromising compliance standards
Focus on Agentic AI Systems
A key highlight of the partnership is the development of agentic AI systems. Unlike traditional AI models that respond to prompts, agentic AI can independently execute multi-step tasks across workflows.
These systems can handle processes such as:
- Processing insurance claims
- Generating, testing, and debugging code
- Conducting compliance reviews
- Managing risk assessments
Using tools like the Claude Agent SDK, enterprises will be able to deploy AI agents capable of managing long-running and complex tasks efficiently.
Expanding Across Financial Services and Manufacturing
Following the telecom rollout, the collaboration will expand into financial services, manufacturing, and engineering sectors.
Financial Services
In the financial domain, AI agents will support:
- Faster risk detection and assessment
- Automated compliance reporting
- Personalized customer engagement based on historical and market data
Manufacturing and Engineering
For manufacturing and engineering companies, AI integration will accelerate product design and simulation processes. Engineers will be able to test multiple iterations quickly, significantly reducing research and development timelines.
Software Development
In software development, teams will leverage Claude Code to write, test, and debug programs more efficiently, enabling faster transitions from design to production.
Modernizing Legacy Systems and Reducing Costs
The collaboration also targets modernization of legacy IT systems. By combining Infosys Topaz with Claude models, enterprises can accelerate digital transformation initiatives while reducing infrastructure upgrade costs.
Infosys is already deploying Claude Code internally within its Exponential Engineering organization to build expertise and refine best practices before scaling solutions to clients globally.
Strategic Implications for Enterprises
This partnership reflects a broader industry trend toward enterprise-grade AI adoption that prioritizes scalability, governance, and domain expertise. By combining engineering scale with advanced AI capabilities, Infosys and Anthropic aim to help enterprises redesign operating models and unlock long-term value.
For investors and market participants, this collaboration signals Infosys’ continued push into high-value AI services — a segment expected to drive future revenue growth and margin expansion in the global IT services industry.
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