HCLTech ships Gemini Enterprise agents on ServiceNow for field service, factory, IT

HCLTech, a global systems integrator with $14.7 billion in FY26 revenue, has expanded its partnership with Google Cloud and ServiceNow to put Gemini Enterprise AI agents inside real business workflows. The launch lands in front of the Sydney Google Cloud Summit 2026, and the first wave of solutions targets field service, customer experience, and a next-generation factory shop floor assistant, with an ITOps ServiceNow Agent already listed on Google Cloud Marketplace for Gemini Enterprise.

The work sits on top of the HCLTech Gemini Enterprise business unit the company launched in the weeks prior, and is framed around ServiceNow's Blueprint for Agentic Business, the structured framework ServiceNow published earlier this year for outcome-driven AI adoption. The companies are positioning this less as a model announcement and more as an implementation pact: HCLTech does the integration, ServiceNow runs the workflow, and Google Cloud supplies the foundational model layer.

The control plane question that comes with multi-vendor agents

Putting a Gemini agent into ServiceNow Field Service Management, ServiceNow Customer Service Management, and a next-generation Factory Shop Floor Assistant is a different kind of integration than a chat assistant. Each of these surfaces touches the same enterprise records (work orders, customer accounts, line-of-business data, telemetry) that already live in an ERP or a service-management system, and each one runs an action, not an answer. That makes the platform that owns the control plane the load-bearing decision in the stack.

The announcement leans on ServiceNow's AI Control Tower for "visibility and governance of AI agents" inside Gemini Enterprise. That is ServiceNow's answer to the same question SAP customers will ask when they evaluate this stack: which platform owns policy enforcement, exception handling, and the authoritative audit trail when an agent reads from one system of record and writes to another. ServiceNow's Michael Park, senior vice president of global partnerships and channels, framed the design point directly. "The future of enterprise AI lies in orchestrating intelligent agents across the business as a connected system of action," Park said. "This collaboration helps organizations orchestrate AI agents across workflows, systems and teams."

Satish Thomas, vice president of applied AI and platform ecosystem at Google Cloud, made the same point from the model side. "Bringing agentic AI to the enterprise requires deep integration into the systems that businesses rely on every day," Thomas said. "Our partnership with HCLTech and ServiceNow combines the foundational power of Gemini Enterprise with industry-leading workflow and operational expertise." Both executives are answering the same control-plane question, but from two different sides of the integration. The HCLTech + ServiceNow + Google Cloud stack is interesting precisely because both layers of that question are now jointly responsible for the answer.

What HCLTech ships first, and what is still a roadmap item

The first three solutions are concrete. In field service, Gemini Live integrates with ServiceNow Field Service Management to give technicians real-time audio and visual intelligence on the job, a step beyond the audio-only copilots that ship in most field service suites today. In customer experience, the goal is preserving customer intent across channels, which is the same problem every CCaaS vendor is now solving with retrieval and agent handoff, but the HCLTech stack is doing it inside ServiceNow Customer Service Management rather than a separate copilot UI. The factory shop floor assistant is the most concrete of the three: a real-time operational intelligence layer inside manufacturing environments, with a specific list of decisions it can flag (quality deviations, downstream operational choices) that the company says are decision points rather than answers.

A fourth piece is already on the marketplace. The ITOps ServiceNow Agent, available on Google Cloud Marketplace for Gemini Enterprise, handles incident management and remediation in enterprise IT environments. That is the most easily testable of the four offerings, because ITOps is the easiest domain in which to ship a closed-loop agent without a long change-management cycle. The other three will roll out in waves through the second half of the year, with HCLTech positioning its CTO Vijay Guntur's "beyond pilots to sustained, enterprise-wide impact" framing as the headline.

HCLTech's Jagadeshwar Gattu, president of digital foundation services, framed the deployment condition in the announcement. "Agentic AI will only deliver enterprise value if it is built on a resilient, secure, and scalable digital foundation," Gattu said. "By combining HCLTech's deep infrastructure, cloud and operations expertise with Google Cloud's Gemini Enterprise platform and ServiceNow's workflow and AI capabilities, we are helping clients move from experimentation to production-ready adoption." The full deal and the four named executive quotes are in HCLTech's press release on the HCLTech newsroom.

Where the HCLTech layer fits in the broader agent governance debate

The stack is also a direct answer to the agent-governance debate that has been playing out across the enterprise AI vertical over the last several weeks, and the framing is intentional. ServiceNow's Blueprint for Agentic Business and the AI Control Tower are both positioned as the control plane for agents that move across systems, and HCLTech's role is to make the integration with the customer's existing system of record concrete rather than aspirational. The story is the same one ServiceNow and Google Cloud told when they launched enterprise AI agents for ops teams in April: the agent belongs in the workflow, not in a separate chat surface. The new piece is the HCLTech layer that turns the model and the workflow into a deployment a customer can actually buy, with named system-integrator accountability for the integration work.

The longer governance question is whether a control plane owned by a workflow vendor can stand as the authoritative audit trail when an agent's inputs live in an ERP, a CRM, a service-management system, and a model registry. ServiceNow is making the case that it can, the Enterprise AI Governance Checklist for 2026 reference page walks through the questions a buyer will need to ask their SI, and HCLTech is now the SI with a published stack to point at. The Sydney events this week will be the first live test of how the partnership story lands in front of enterprise buyers, and the ITOps marketplace listing is the first concrete artifact a procurement team can evaluate before the field service and factory floor solutions are in customer pilots.