ServiceNow embeds AI across the platform with Context Engine

ServiceNow is rolling out a broad set of platform updates designed to bake AI, data, security, and governance into every part of its stack. At the center of the move is a new Context Engine, which pulls together enterprise data, policies, and decision history to give AI-driven workflows a shared understanding of how the business operates and how decisions are made.

“Context Engine is ServiceNow’s new enterprise context solution that captures the why behind decisions, not just the what. Every AI interaction, resolution, approval, and escalation builds a richer understanding of how the business actually operates,” John Aisien, SVP of product management, security, and risk at ServiceNow, told CIO.com.

“It’s grounded in ServiceNow’s incumbent Service Graph and Knowledge Graph, with incremental AI decision tracing that captures decision context persistently, powered by our recent acquisition of Traceloop. It will also be enriched by IP that we acquired from Veza & IP that we announced plans to acquire from Armis,” Aisien added.

Expanding on how it works in practice, Aisien further pointed out that the Context Engine is not a standalone interface, but an embedded capability woven into the broader ServiceNow platform and “surfaces” through the experiences and workflows customers already use, and via published, public interfaces that the ITSM software provider will expose to customers and partners over time.

From ITSM platform to enterprise AI control plane

That embedded design, analysts say, also signals a broader ambition for ServiceNow.

“Service Now is seeking to move beyond the modular capability provider label and to move up the tech stack to be adopted as the enterprise AI operating layer, in turn owning the orchestration and control layer for enterprise AI, while remaining model agnostic beneath the surface,” said Scott Bickley, advisory fellow at Info-Tech Research Group.

However, Bickley pointed out that many vendors are pursuing a similar approach, not just ServiceNow: “Most enterprise scale SaaS providers are feverishly incorporating AI functionality horizontally across their solutions, all seeking to lock their customers in leveraging their own flavors of data fabric and context layers.”

“This can be seen with Salesforce’s AgentForce, Microsoft 365 Copilot, etc.  It is clear to these vendors that customers will want a single execution layer where possible, and their future depends on being the solution of choice,” Bickley added.

Vendor convergence raises stakes for CIOs

That convergence in strategy from multiple vendors, though, comes with trade-offs for CIOs.

According to Bickley, these updates from ServiceNow, akin to newer offerings from other vendors, will force enterprises to decide whether they want ServiceNow to be the control plane for enterprise automation.

“If not, ServiceNow offerings can become one expensive set of modules with built-in AI shelfware and the price to go with it,” Bickley said.

For enterprises embracing ServiceNow and its recent approach, the trade-off will be an “implied dependence upon ServiceNow’s data model, governance model, and platform architecture”, Bickley added.

The Context Engine is currently in preview with select customers, with broader availability details yet to be disclosed.

Build Agent Skills aims to widen developer appeal

Alongside Context Engine, ServiceNow also introduced Build Agent Skills and an SDK that Aisien said will allow developers to use external tools, such as Claude Code, Cursor, or OpenAI Codex, and integrated development environments (IDEs) to build applications and deploy them directly to the ServiceNow platform, while keeping governance and execution within its environment.

For developers, Stephanie Walter, practice leader of AI stack at HyperFRAME Research, said the skills and the SDK will add flexibility and speed.

“Instead of forcing teams into a single development environment, ServiceNow is letting them build with familiar tools and still deploy into a governed enterprise platform. That makes development faster, but it also means ServiceNow becomes the place where those applications ultimately run and are managed,” Walter said.

For Bickley, the skills and SDK are ServiceNow’s strategy to appeal more broadly to platform engineering teams compared to its older approach, where it tried to appeal to the legacy ServiceNow admin ecosystem and low-code user base.

However, the analyst cautioned against the Build Agent skills offering, saying that ServiceNow was not being very forthcoming about its details, especially its pricing.

When asked about more details on skills, Aisen told CIO.com that enterprise customers will receive 100 free Build Agent calls to start with, and developers on personal instances will get 25.

“Beyond that on-ramp, full pricing details are not being disclosed,” Aisen said.

These scant details, according to Bickley, are precisely what introduce cost unpredictability as ServiceNow doesn’t seem to explain how much or what can be accomplished with 100 Build Agent calls.

In fact, Bickley further warned that CIOs should adopt a FinOps mentality if they seek to avoid drowning in the emerging consumption model ocean as Build Agent calls isn’t the only area that will draw charges.

For CIOs, the bigger concern is how multiple consumption-based charges could stack up across Build Agent usage, Workflow Data Fabric, and core platform licenses, creating a layered cost structure rather than a single subscription, Bickley said.

Without clear visibility into how these meters interact, enterprises risk unexpected spending spikes as AI adoption scales, making it harder for CIOs to track what’s driving costs and tie that spend back to business value, Bickley added.

ESM Foundation to ease adoption

Against this backdrop of potential cost complexity, ServiceNow is also trying to simplify adoption for midsized enterprises, at the packaging level, with the introduction of its ESM Foundation offering, which bundles core enterprise capabilities into a more streamlined, faster-to-deploy package.

For Bickley, the packaging reduces confusion for midsized companies trying to choose between its varied offerings and shortens their time to deployment.

Separately, the analyst pointed out that ESM Foundation is also ServiceNow’s strategy to compete with smaller vendors, such as Atlassian.

“If ServiceNow can credibly offer faster deployment for midsize companies while including AI, governance, and workflow executing into the platform price, they can attack the complexity and time to value obstacles their competitors have wielded against them,” Bickley said.

The ESM Foundation package and the company’s new tiered packaging model are now generally available to customers. Meanwhile, the Build Agent Skills are set to become available to developers starting April 15.