Anthropic and Infosys Partner to Develop Enterprise AI Agents for Regulated Industries

Anthropic and Infosys team up to build AI agents for telecom, banking and manufacturing, integrating Claude models with Infosys Topaz.

Anthropic and Infosys Partner to Develop Enterprise AI Agents for Regulated Industries

Bengaluru, Feb. 18, 2026 — Artificial intelligence firm Anthropic and Indian IT services giant Infosys have announced a strategic partnership aimed at developing advanced AI agents tailored for enterprises operating in highly regulated sectors.

The collaboration will combine Anthropic’s Claude large language models and coding-focused Claude Code platform with Infosys Topaz, the company’s AI-driven services suite. Together, the two firms aim to build autonomous AI systems capable of executing complex, multi-step business processes across telecom, financial services, manufacturing and software development industries.

The partnership signals a growing focus on enterprise-grade AI that prioritizes governance, compliance and operational reliability — key requirements in regulated sectors.

Enterprise AI Beyond Chatbots

While consumer AI tools have drawn global attention, enterprise adoption increasingly depends on systems that can handle mission-critical workflows.

The Anthropic-Infosys alliance is centered around building AI agents designed to operate independently within corporate environments. Unlike traditional chatbots, these agents are expected to manage end-to-end processes such as:

  • Compliance documentation and monitoring

  • Risk assessment and reporting

  • Network operations automation

  • Software modernization tasks

  • Regulatory audit preparation

The companies said these AI agents will be built with built-in safeguards and governance mechanisms to meet strict industry regulations.

Integrating Claude with Infosys Topaz

At the core of the partnership is the integration of Anthropic’s Claude models with Infosys Topaz.

Claude is known for its emphasis on safety and controllability, features considered essential for enterprise environments. Claude Code, a developer-oriented extension, is designed to assist in application modernization and coding workflows.

Infosys Topaz, launched as the company’s AI-first service platform, already supports enterprises in digital transformation initiatives.

By combining Claude’s reasoning and code capabilities with Infosys’ implementation expertise, the companies aim to accelerate enterprise AI deployment.

India Emerges as a Key AI Market

Anthropic indicated that India has become one of its most important global markets.

Nearly half of Claude.ai usage in India is focused on application development and system modernization — a reflection of the country’s strong IT services ecosystem.

India’s growing digital economy and large base of technology talent make it an attractive environment for enterprise AI experimentation and deployment.

Infosys, with its global client base, provides Anthropic access to large-scale corporate environments across multiple sectors.

Focus on Regulated Industries

Highly regulated sectors such as banking, telecom and manufacturing face unique challenges when adopting AI technologies.

These industries must adhere to strict standards related to:

  • Data privacy

  • Audit trails

  • Risk management

  • Regulatory compliance

  • Cybersecurity

The partnership aims to design AI agents specifically for these constraints, rather than retrofitting consumer AI models into enterprise settings.

Executives from both companies emphasized that governance and reliability will be central to the deployment strategy.

AI Agents and Automation Potential

The companies envision AI agents capable of independently handling complex workflows that traditionally require teams of specialists.

For example:

  • In financial services, AI agents could monitor compliance requirements across jurisdictions.

  • In telecom, they could manage network optimization and outage detection.

  • In manufacturing, agents may oversee supply chain analytics and predictive maintenance.

  • In software development, AI systems could assist in legacy code transformation and modernization.

The automation of multi-step processes is expected to improve efficiency and reduce operational costs.

Industry analysts note that enterprise AI adoption is shifting from pilot projects to production-scale systems capable of measurable ROI.

Strategic Positioning in the AI Race

The partnership comes amid intensifying global competition in enterprise AI.

Major technology firms are racing to position themselves as infrastructure providers for AI-powered business transformation.

Anthropic, founded with a focus on AI safety and alignment, has increasingly positioned its Claude models as enterprise-ready alternatives.

Infosys, meanwhile, is expanding its AI portfolio to remain competitive in the global IT services market.

Together, the companies aim to create industry-specific AI solutions rather than generic platforms.

What Happens Next?

The next phase of the partnership will likely involve pilot deployments across select enterprise clients.

Key steps may include:

  1. Integration testing between Claude and Infosys Topaz.

  2. Deployment of AI agents in controlled enterprise environments.

  3. Development of industry-specific AI governance frameworks.

  4. Expansion into global regulated markets beyond India.

Observers will watch closely to see how enterprises measure productivity gains and risk mitigation outcomes from AI agent deployment.

The long-term success of the initiative will depend on reliability, regulatory approval and demonstrable cost savings.

Enterprise AI’s Broader Outlook

As organizations worldwide accelerate digital transformation efforts, enterprise AI is moving beyond experimentation into structured implementation.

Partnerships like Anthropic and Infosys reflect a growing recognition that successful AI adoption requires both advanced models and domain-specific execution expertise.

If the collaboration delivers scalable, regulation-compliant AI agents, it could mark a significant step forward in enterprise automation.