BofA sees ServiceNow's AI advantage in stored workflow data

Bank of America upgraded its outlook on ServiceNow following the software company's second-quarter earnings beat. The analyst reaffirmed a Buy rating and set a $130 price target, representing about 36% upside from the $95.46 share price as of July 23.

ServiceNow's financial performance exceeded expectations on multiple fronts. Subscription revenue rose 24.5% to $3.88 billion（約6200億円）, while current remaining performance obligations—contracted revenue expected to be recognized within the next 12 months—increased 21% to $13.2 billion（約2.1兆円）. Both metrics surpassed Wall Street consensus.

Beyond the headline numbers, BofA identified what it characterized as a less obvious but strategically significant advantage: ServiceNow's AI agents are positioned to leverage the vast operational context already stored on the platform. Analyst Tal Liani explained that when an AI agent encounters an enterprise problem without a simple, documented solution, ServiceNow can provide background through customers' existing workflow histories, Configuration Management Database (CMDB), and Context Engine. The CMDB records applications, servers, services, and their relationships. The Context Engine adds information about people, roles, company policies, and prior decisions.

The bank illustrated the difference with a concrete example: an application outage. A basic service-desk agent might reset a password or approve software access by following documented procedures. But when applications fail, an agent must first identify which servers support the application, review recent configuration changes, check which other services depend on it, and confirm who has authority to approve a repair. ServiceNow can supply that entire context from records already in the customer's account.

By contrast, a customer deploying a third-party AI tool would need to extract records from several systems, explain how those records relate to one another, and route the agent's output back to the software where employees complete the work. ServiceNow, having all that information on the same platform, can give an agent access to existing workflows, system relationships, permissions, and approval rules without requiring separate integration. BofA concluded that this setup could reduce deployment costs and complexity while allowing the agent to complete a larger portion of the process itself. The shift in enterprise priorities—away from simple L1 automation toward broader agentic workflows—tilts the competitive landscape in favor of platforms with deep operational data, a positioning that underpins the analyst's confidence in the stock.

ServiceNow's competitive position in enterprise AI hinges less on raw model capability than on the structural advantage of its installed base. The company already holds years of workflow history, infrastructure configuration data, and organizational context for thousands of customers—assets that are difficult for competitors to replicate. When an AI agent encounters a complex problem, such as diagnosing an application outage, it must first gather contextual information: which servers support the application, what configuration changes were made recently, which dependent services might be affected, and who holds approval authority. ServiceNow's agents have access to all this information within the same platform, whereas an external AI product would require customers to extract, integrate, and reformulate data from multiple disconnected systems before the agent can act.

BofA's point—that this infrastructure advantage enables ServiceNow to handle harder cases with fewer integration steps—speaks to why enterprise AI adoption may favor platforms with deep operational records over standalone tools. The analyst's confidence in the $130 price target reflects recognition that as enterprise workflows shift from simple automation (password resets, ticket classification) to more complex agentic systems, the ability to reason over rich, pre-existing context becomes a meaningful moat. The reported beat on subscription and contracted revenue figures ($3.88 billion（約6200億円）, up 24.5%, and $13.2 billion（約2.1兆円）, up 21%) suggests customers are already voting with deployments.

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