ServiceNow ends the AI add-on, adds Context Engine, aims to scale Now Platform usage

ServiceNow said it has eliminated AI add-ons and will include AI, data connectivity, workflows and governance into every product with EmployeeWorks driving the interface. Workflow Data Fabric and AI Control Tower will be features of the platform.

The company also rolled out Context Engine, a layer of the Now Platform that connects relationships, policy and decision history of AI agents. ServiceNow will also open its platform with new ServiceNow Build Agent skills so developers can build from any tool and deploy directly in ServiceNow.

ServiceNow's AI add-ons to date have been layered onto a base license. Typically, AI is attached to core workflows including ITSM, CSM and HR. The Pro and Enterprise base licenses are acquired then Pro Plus and Enterprise Plus plans add on AI for agents and genAI tools.

The AI add-ons are usually per seat and run at a premium. Consumption-based pricing covers AI assists that include actions such as summarization and agent tasks. If you move beyond the allowance of assists you can buy more capacity.

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With its latest pricing moves, ServiceNow appears to be collapsing AI add-ons into the base platform. The bet for ServiceNow is that adding AI to the base platform will drive consumption. With the pricing change, ServiceNow customers have AI embedded into products and can choose usage levels. Usage-based meters expand with consumption.

In a release, ServiceNow said eliminating AI add-ons will provide a unified platform and enable enterprises to focus on value creation. Amit Zavery, president, chief product officer and chief operating officer at ServiceNow, said every customer will "start with a complete AI-first experience, not a procurement project."

Pricing strategy in a platform arms race

ServiceNow's plan to eliminate AI add-ons rhymes with what has happened in productivity software and other categories where copilots and agents are simply embedded into suites.

Base licenses are likely to move higher for ServiceNow as AI is now built in. But CxOs will also have cost predictability.

Here's where it gets interesting for the Now Platform.

• Deals may move faster because you won't need gated AI, cost approvals and extra sales cycles for add-ons.
• Usage of the Now Platform will likely surge.
• The question for enterprises will change from where to use AI to why not use AI.
• Risk shifts more to ServiceNow, which will have to manage LLM inference costs, usage and inefficient prompts. You can expect ServiceNow to focus on model routing, smaller models and caching.
• Customers are more likely to focus on using the Now Platform for value over cost optimization.
• On the competitive front, ServiceNow's move to cut AI add-ons directionally matches what Microsoft has done with Copilot workflows, matches where Salesforce is headed with bundling AI into Agentforce and squeezes smaller players.

Add it up and ServiceNow has removed procurement friction and given it more heft in the platform arms race.

ServiceNow also outlined Enterprise Service Management (ESM) Foundation, which is aimed at midsize companies and brings together IT, HR, legal, finance, procurement and workspace services to the ServiceNow AI Platform.

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Context Engine, ServiceNow SDK and Build Agent skills

While the pricing shift is top of mind for CIOs, ServiceNow is also moving to court developers and build its context layer.

ServiceNow announced its Context Engine that provides intelligence to ServiceNow AI and workflows to understand what's happening across a company, decide the right course and act with governance. Context Engine is currently in preview.

According to ServiceNow, Context Engine will ground LLMs to align with enterprise strategy. Context Engine also integrates some recent ServiceNow acquisitions including Veza for identity governance, Pyramid Analytics and data.world for data lineage.

For developers, ServiceNow, which is model agnostic, follows the integrated development environments (IDEs). Developers will be able to use any tool they use such as Claude Code, OpenAI Codex, Windsurf, Cursor and Antigravity to deploy on ServiceNow AI Platform.

The ServiceNow SDK and Build Agent skills will also work in any IDE.

Constellation Research’s point of view

Constellation Research analyst Liz Miller said:

“The ESM evolution is in line with how ServiceNow has evolved its view of graph data structures and AI's capacity to look beyond the complexity of graph fusion. Now the company is further abstracting these layers and leveraging AI to cut across, down and through multiple graphs to identify pattern, association and dependencies that could impact an autonomous workflow. Having decades of quickly (they tout 30 days) ingesting and mapping data from external systems into their CMDB, ServiceNow understands how to leave data where it sits while pulling the intelligence into a schema that can put those points into action. ServiceNow’s is evolving from just being a "platform of platforms" to serving as the "graph of graphs" to make the Context Engine real.

This is also a reality check for the business: Dining on enterprise level IT budgets with their massive scale and complexity is good, but tapping into the multi-trillion midmarket is better. Hence the new ESM offering that focuses on streamlining costs to make ServiceNow attainable.”

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