HCLTech and Anthropic Form Global Premier Partnership to Scale Governed Agentic AI Across Enterprises

HCLTech Establishes Dedicated Anthropic Business Unit for Enterprise-Scale Deployment

HCLTech has formalized a Global Premier Partnership with Anthropic to accelerate enterprise AI adoption through agentic AI solutions.1

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The collaboration, announced on October 12, 2026, centers on establishing a dedicated Anthropic business unit with a Center of Excellence designed to build and deploy Claude-powered solutions across global enterprises.3

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This partnership positions HCLTech to move businesses beyond experimental AI projects toward production-ready implementations that prioritize safety, cybersecurity and governance.

Anthropic's Claude Models Integrate Across HCLTech Services and Software Products

The partnership encompasses both HCLTech's services division and its software business. HCLTech's teams will build industry-specific solutions powered by Claude, Cowork and Claude Code, while HCLSoftware becomes an Anthropic independent software vendor partner with access to advanced models.2

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The integration extends to select HCLSoftware enterprise products across cybersecurity, automation, business process applications and application development, including HCL BigFix and HCL AppScan, while enabling Actian AI Analyst.3

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Additionally, HCLTech will embed Claude and Claude Code into its AI Force platform for IT support, code remediation and digital employee services.1

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Center of Excellence to Support Secure Enterprise Deployments Through Forward-Deployed Engineers

The Center of Excellence will provide secure sandbox environments for enterprise deployments of Claude through forward-deployed engineers, enabling organizations to test and implement agentic AI in controlled settings.2

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HCLTech will help clients adopt AI-native engineering practices, train workforces and build organizational capabilities needed to operate governed Agentic AI safely at scale.3

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The AI Force workflows incorporate policy guardrails, exception handling and human oversight for high-impact changes, addressing enterprise concerns around trustworthy AI deployment.2

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Strategic Significance for Critical Industry Systems and Enterprise Operations

Daniela Amodei, Anthropic's co-founder and president, emphasized that HCLTech manages critical systems for organizations across banking, healthcare, telecommunications and manufacturing sectors.2

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"AI can only be as useful as it is trustworthy, and we built Claude to give companies the confidence to bring it into their most sensitive and valuable work," Amodei stated.3

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C Vijayakumar, HCLTech's CEO and managing director, noted that combining global systems integration capabilities with software products provides a distinct advantage in engineering and deploying Agentic AI at scale.2

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HCLTech Reports $876 Million Annualized AI Revenue Alongside Partnership Announcement

The partnership announcement coincided with HCLTech's Q2 FY27 results, which showed $3.7 billion in revenue and $3.3 billion in new deal bookings, representing a 27 percent year-on-year increase.2

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HCLTech reported advanced AI revenue of $219 million for the quarter, reflecting 28.4 percent quarter-on-quarter growth and 78 percent year-on-year growth in constant currency, bringing annualized advanced AI revenue to $876 million.2

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The company revised its FY27 revenue growth guidance to 2.5 to 4 percent year-on-year in constant currency, with services revenue growth expected at 3 to 4 percent and EBIT margin between 17.5 and 18.5 percent.2

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What This Means for AI for Global Businesses and Industry Transformation

This collaboration addresses a critical gap in moving AI from experimentation to production at enterprise scale. Organizations evaluating agentic AI implementations now have access to governed deployment frameworks that balance innovation with risk management. The partnership's focus on cybersecurity and governance may accelerate adoption in regulated industries where data sensitivity has slowed AI integration. Watch for how HCLTech's forward-deployed engineer model influences enterprise AI deployment timelines and whether the combination of systems integration and ISV capabilities creates competitive differentiation in the crowded enterprise AI market. The integration timeline and pricing for HCLSoftware products remain undisclosed, which will determine how quickly customers can access these capabilities across their existing technology stacks.2

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