HCLTech has expanded its collaboration with Google Cloud and ServiceNow to push agentic AI deeper into enterprise workflows, moving the focus from pilots to production use cases. The company said that it will deliver AI agent solutions on Google Cloud’s Gemini Enterprise platform, integrated with ServiceNow, to help organizations deploy AI in real business environments.
The new collaboration brings together Gemini Enterprise, ServiceNow workflow orchestration, and HCLTech’s industry expertise. HCLTech said the aim is to help enterprises deploy and scale AI agents across operations, rather than confining them to isolated demonstrations.
According to HCLTech, the initial solutions cover two main areas: Field Services and Customer Experience. In Field Services, it is combining Gemini Live with ServiceNow Field Service Management to give technicians real-time audio and visual intelligence. In Customer Experience, the goal is to preserve customer intent across channels.
HCLTech also said it is introducing a Factory Shop Floor Assistant for manufacturing environments, and an ITops ServiceNow Agent on Google Cloud Marketplace for incident management and remediation.
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March 12, 2026
HCLTech expanded its strategic cooperation with Google Cloud to accelerate enterprise adoption of agentic AI. At that point, it said it would use Gemini Enterprise and Gemini models to build custom AI agents, and that many of those agents were already available on Google Cloud Marketplace. HCLTech also said the program would support over 2,000 GenAI-led customer engagements.
April 22, 2026
ServiceNow and Google Cloud announced a separate set of joint solutions for autonomous enterprise operations. That release highlighted shared governance, interoperability and real-time agent coordination using A2A, A2UI and MCP protocols. It also introduced use cases such for example autonomous network operations and predictive maintenance.
June 25, 2026
HCLTech added ServiceNow more explicitly into its Google Cloud collaboration, saying the combined setup would help organizations move from AI experimentation to operational deployment. The company said this version of the partnership emphasizes workflow orchestration, governance and production readiness.
[ALSO READ: 92% of executives see agentic AI reshaping business operations, but readiness gap remains the real constraint: Report ]
What agentic AI means
Agentic AI refers to AI systems that do more than produce answers. They can act across systems, interpret inputs, route tasks and help execute workflows inside enterprise software environments.
ServiceNow provides the workflow layer, Google Cloud provides the Gemini Enterprise platform and associated AI infrastructure. HCLTech sits between them, packaging the technology into enterprise use cases and deployment services. That is the practical shape of the partnership.
The main significance is that enterprise AI is moving from isolated productivity tools toward workflow-level automation. HCLTech is packaging AI into business processes such as field service, manufacturing operations, customer service and IT incident handling.
Enterprise buyers usually care less about the model name and more about whether the system connects to existing processes without creating more manual work.
ServiceNow and Google Cloud said in April that enterprise AI only becomes useful when agents can work across systems with governance and data visibility. HCLTech’s June release follows that logic, adding implementation capacity and industry-specific packaging.
HCLTech’s Vijay Guntur, CTO and Head of Ecosystems, said the partnership indicates a shift from exploring AI to embedding it in operations, and that the company wants clients to move beyond pilots to sustained, enterprise-wide impact.
Google Cloud’s Satish Thomas said the partnership combines Gemini Enterprise with workflow and operational expertise so customers can scale AI across the organization. ServiceNow’s Michael Park said the goal is to orchestrate intelligent agents across the business as a connected system of action.
HCLTech’s Jagadeshwar Gattu said agentic AI must sit on a resilient, secure and scalable digital foundation if it is going to work in mission-critical environments.
