ServiceNow Introduces Serious Pricing Model Changes

ServiceNow (NYSE:NOW) recently announced their first quarter results that outpaced all market expectations. But despite the strong performance, the stock took a beating and was down 15% in the after-hours trading. The continuing concern about the agentic AI market disrupting ServiceNow’s business model coupled with the Iran war was a big reason for worry.

ServiceNow’s Financials

ServiceNow’s quarter revenues grew 22% to $3.77 billion, ahead of the market’s forecast of $3.74 billion. EPS of $0.97 was also ahead of the market’s estimates of $0.96 per share.

By segment, subscription revenues rose 19% to $3.67 billion, ahead of the consensus estimate of $3.65 billion. Professional and Other Services revenues grew 18% to $99 million. Its current remaining performance obligations came in at $12.64 billion, ahead of estimates of $12.56 billion. While subscription revenues reported a strong growth, they were impacted due to delayed on-premise deal closings in the Middle East. ServiceNow believes that this is a timing delay and would not impact its overall outlook.

ServiceNow expects subscription revenues for the year to be between $15.74-$15.78 billion compared with an earlier estimate of $15.53-$15.57 billion.

ServiceNow’s AI Focused Growth

ServiceNow continued to expand its AI offerings and its Israel-based portfolio with the recent acquisition of ai.work. It was founded in 2024 by Maor Ezer and Nir Nahum with a mission to build an AI Worker Platform with autonomous, policy-aware agents that automate and handle the busywork behind IT, Procurement, HR, Legal, Deal Desk, Finance and Operations teams. Its offerings leveraged AI capabilities to understand incoming requests, identify resolution steps across enterprise systems, and navigate approval and interaction chains. Its AI agents specialize in support functions within the organization and integrate them with enterprise systems including Microsoft 365, ServiceNow, Slack, Jira, Google Workspace, Salesforce, and other platforms. Prior to the acquisition, ai.work was privately held and did not disclose its financials, funding or acquisition details. Some reports suggest that the company had raised $10 million to date.

Besides growing inorganically, ServiceNow has been expanding its AI offerings for the enterprise. Recently it launched several new data capabilities that leverage autonomous AI to work on live enterprise intelligence.

Most enterprise AI agents have to deal with fragmented data across disconnected systems. ServiceNow’s Context Engine and Autonomous Data Analytics addresses that by applying a semantic layer that integrates workflow data, analytics insights, and third-party systems to power AI decision in real-time operational context. Its AI Context Engine provides the context and governance that enterprise AI requires. To feed the Context Engine, ServiceNow announced plans for Autonomous Data Analytics which will allow any person or AI agent to query the entire enterprise data estate in plain language and receive secure, contextual insights immediately. Its Autonomous Data Governance monitors the data estate and flags quality violations, helping enforce security and privacy policies in real time.

It also announced ServiceNow Data Catalog, which will give organizations end-to-end visibility across their entire data set through automated discovery, lineage tracking, and a shared business glossary to deliver a single, governed review of the entire data estate.

It also expanded its partnerships with other tech players such as Nvidia, Microsoft and Google to expand enterprise AI governance. For instance, its Control Tower already connects to Microsoft Foundry and Copilot Studio. The new AI Control Tower integration with Microsoft Agent 365 will expand these capabilities by extending visibility and governance insights across Microsoft Agent 365’s AI agent ecosystem. This will give IT and operations teams enhanced visibility into agent activity across ServiceNow and Microsoft ecosystems.

With Nvidia, its partnership now extends agentic AI governance from desktops to data centers. It is introducing Project Arc, which is an enterprise autonomous desktop agent that thinks, writes code, executes, and adapts to complete multi-step work across enterprise tools and systems without requiring pre-built workflows. Every action the agent takes runs inside NVIDIA OpenShell, a sandboxed runtime environment that adds policy-based management so that autonomous activity stays contained, auditable, and enterprise safe. ServiceNow AI Control Tower governs the actions the agent takes, setting policies, monitoring behavior, and logging files read, commands executed, and APIs called. The result is an autonomous desktop agent that enterprise security leaders can leverage.

ServiceNow Pricing Model Changes

Like other software stocks, Service now’s stock has taken a beating as concerns about AI replacing these services prevail. ServiceNow has been countering those threats by changing its pricing model, expanding its market base, and leveraging AI to support growth instead. It has been pushing into CRM and cyber security areas while also moving to a hybrid pricing model.

ServiceNow’s restructured pricing model shifts away from seat-based pricing to a hybrid structure that embeds GenAI. It has replaced the three legacy pricing tiers with AI-native tiers that embed AI capabilities. The Embed GenAI pricing allows for features like Now Assist built into every tier instead of being sold as add-ons. Consumption-based token overage model includes an allotment of tokens. Once these tokens have been consumed, the overage is charged on platform usage. The Tiered AI Capabilities pricing model covers basic summarization, while Advanced incorporates automated agent workflows, and Prime enables AI agents to entirely replace standard roles like Level 1 Service Desk.

The pricing strategy is already paying off. According to a recent report, more than half of ServiceNow’s new business followed from this hybrid pricing structure. Some analysts believe that the growth of AI agents will increase the need for companies to manage and limit what those agents can do, and ServiceNow will be “at the center of workflow orchestration and control.” Its recent quarterly subscription results and outlook are a proof of ServiceNow’s capabilities.

Its stock is trading at $106.32 with a market capitalization of $113.3 billion. It touched a 52-week high of $210.20 a year ago. It had fallen to a 52-week low of $81 in April this year.