ServiceNow and Google Cloud unite AI agents for autonomous enterprise operations

ServiceNow and Google Cloud deepened their strategic partnership today at Google Cloud Next, unveiling new AI solutions and agents that bring autonomous operations to the world's largest enterprises. Spanning 5G networking, retail, and IT systems, the solutions represent a significant step in the two companies' shared vision: a future where AI agents can collaborate across platforms to autonomously detect, diagnose, and resolve problems before they affect customers.
Underpinning every solution is unified governance and data connectivity supported by Google Cloud's Gemini Enterprise platform and the ServiceNow AI Platform, leveraging technology including ServiceNow AI Control Tower, Workflow Data Fabric, and Google Cloud BigQuery, helping ensure agents operate within policy regardless of where they run. A shared interoperability framework built on Agent-to-Agent (A2A), Agent-to-UI (A2UI), and Model Context Protocol (MCP) enables AI agents to exchange intelligence and actions in real time across enterprise environments.
"ServiceNow and Google Cloud share a conviction that the future of enterprise AI is built on open, interoperable platforms, not walled gardens. The solutions we're delivering together prove this premise," said John Aisien, general manager and senior vice president, Central Product Management, at ServiceNow. "When our technologies work in lockstep, enterprises get what modern operations demand: an automated chain from first signal to final resolution."
"Real customer value from agentic AI will be unlocked when agents seamlessly interoperate across platforms and systems, with enterprise-grade governance," said Kevin Ichhpurani, president, Global Partner Ecosystem at Google Cloud. "By uniting Gemini Enterprise with the ServiceNow AI Platform via open protocols like MCP, we're delivering an interoperable AI workforce that can detect, diagnose, and resolve issues autonomously."
Autonomous Network Operations: from reactive chaos to self-healing operations
ServiceNow is introducing a 5G Autonomous Network Operations solution that augments human oversight to identify and resolve problems before customers notice anything is wrong. Once given defined parameters, ServiceNow AI Agents powered by Gemini Enterprise for Customer Experience (CX) handle anomaly detection and connect to the ServiceNow AI Platform for remediation. Together, they replace reactive chaos with a self-healing network.
When a 5G performance issue surfaces, ServiceNow AI Agents on Gemini Enterprise for CX analyse network telemetry and confirm the root cause in real time. Via MCP, they pass context directly to applicable ServiceNow AI Agents, map the impact across services and SLAs, select the right fix, deploy the network function via A2A, and validate the resolution.
Bringing AI-powered predictive maintenance to retail operations
ServiceNow is also reducing unplanned downtime in retail before it ever reaches the store. By combining Google Cloud's predictive intelligence with ServiceNow's workflow orchestration, early telemetry signals are turned into autonomous end-to-end action, helping resolve equipment issues before any associate, manager, or customer is affected.
Google Cloud's BigQuery ML with Gemini models detect anomalies and surface failure recommendations that instantly initiate ServiceNow's autonomous workflows: triaging the issue, checking parts availability, reserving inventory, and dispatching a qualified technician with a guided repair playbook in hand. Telemetry stays in BigQuery and is accessed via ServiceNow's Zero Copy Connection enabled by Workflow Data Fabric, resulting in no data movement, no duplication, and no delay between insight and action. Every resolved case feeds back into the predictive model, building a system that gets smarter with each repair, which can steadily shrink emergency dispatches, reduce the unplanned downtime that drains margins, and protect the in-store and digital customer experience that drives loyalty.
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