Collaboration Targets Telecom, Financial Services, Manufacturing, and Software Sectors
Infosys has announced a collaboration with Anthropic to develop and deploy advanced enterprise artificial intelligence solutions across industries including telecommunications, financial services, manufacturing, and software development. The partnership aims to help enterprises integrate generative AI capabilities into core business operations, improving efficiency, automation, and decision-making.
According to Infosys, the collaboration will initially focus on telecom and expand to other sectors as enterprises scale AI adoption. The partnership combines Infosys’s global enterprise delivery expertise with Anthropic’s AI models, including its Claude family of systems, known for their safety-focused design and enterprise readiness.
Focus on Scalable, Responsible AI Deployment
The partnership will enable Infosys to integrate Anthropic’s AI models into enterprise applications such as customer service automation, intelligent workflow management, and software development acceleration. This aligns with growing enterprise demand for reliable, secure, and scalable AI deployments.
Ravi Kumar S, Chief Executive Officer of Infosys, said the collaboration strengthens Infosys’s ability to deliver enterprise-grade AI solutions while ensuring responsible AI deployment. He added that combining Infosys’s digital transformation capabilities with Anthropic’s AI technology will help clients unlock productivity and innovation.
Dario Amodei, Chief Executive Officer and Co-founder of Anthropic, said the partnership will help enterprises safely deploy advanced AI capabilities while maintaining strong governance and operational control.
Enterprise AI Becomes Core to IT Services Strategy
The partnership reflects a broader shift among global IT services companies to integrate proprietary and partner AI models into enterprise transformation offerings. As enterprises accelerate AI adoption, service providers with strong AI partnerships and implementation capabilities are gaining competitive advantage in large-scale digital transformation projects.
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