ServiceNow has formally drawn a line under what it calls the “sidecar AI era”, where intelligence is bolted onto disconnected systems.
Enterprise customers have long struggled with fragmentation, often running hundreds of applications, each with its own data model, security rules, and process logic. AI initiatives often sit on top of this complexity, bolted on as “sidecar” capabilities that lack the authority or context to act across systems.
ServiceNow has announced it is now moving away from that model to what it describes as a fully integrated, AI-native platform where AI, data, workflows, security, and governance are embedded by default across every product and package.
“Most organizations spend months assembling the pieces for enterprise AI. By the time they’re ready, the goalposts have moved. ServiceNow brings it all together, so customers start with a complete AI-native experience across all products and packages, not a procurement project,” said president, chief product officer, and chief operating officer at ServiceNow, Amit Zavery.
“ServiceNow is redefining how companies realize value from AI, with the capabilities required for enterprise scale. From Context Engine’s enterprise intelligence to data connectivity, governance, and execution, everything is included by default, all operating inside the flow of work, and open to the tools developers already use.”
The New AI-Native Platform Model
ServiceNow’s updated platform experience is built around a set of integrated capabilities that together form a unified operating layer for enterprise work.
At a high level, this includes:
- EmployeeWorks as a conversational front end for employees.
- Workflow Data Fabric to unify enterprise data across systems.
- AI Control Tower for governance, visibility, and compliance.
- Autonomous workflows that can act, not just assist.
Rather than existing as separate modules, these capabilities are designed to operate together. The goal is to ensure that AI is not only generating insights but also executing actions within governed workflows.
ServiceNow Unveils Context Engine
One of the most significant announcements is Context Engine, a new capability focused on giving AI agents real enterprise awareness.
In enterprise environments, decisions are rarely made in isolation. They depend on relationships between users, assets, policies, and historical actions. Context Engine connects these elements, drawing from ServiceNow’s Service Graph, Knowledge Graph, and broader data inventory to provide AI with a real-time understanding of how the business operates.
This enables AI to:
- Recognize which assets are tied to regulated processes.
- Apply the correct approval chains based on policy and thresholds.
- Incorporate vendor history into procurement decisions.
- Track and govern decisions over time.
With data spanning 85 billion workflows and seven trillion transactions, ServiceNow says it is effectively turning operational history into a continuously learning system.
Opening the Platform to Every Developer
Another key part of the announcement is how ServiceNow is expanding access to its platform for developers.
With the introduction of the ServiceNow SDK and Build Agent skills, developers are no longer required to work exclusively within ServiceNow-native tools. Instead, they can build using environments they already use – such as Claude Code, Cursor, or OpenAI Codex – and deploy directly to the ServiceNow AI Platform.
At the same time, the platform is becoming more accessible to non-developers. Users can describe workflows in natural language, with AI generating working applications in minutes. Within ServiceNow Studio, Build Agent enhances this further by understanding live data models, table relationships, and business rules in real time.
Built-In Governance, Not Bolted-On Control
Despite opening up development and increasing automation, ServiceNow says it is maintaining a strong emphasis on governance.
Every application and AI agent created on the platform is governed through:
- AI Control Tower, which provides visibility and oversight of AI-driven actions.
- App Engine Management Center, which manages the application lifecycle and performance.
- A unified identity framework, ensuring consistent access and policy enforcement.
For customers in regulated industries, this ensures that increased autonomy does not come at the cost of compliance or control.
AI Included by Default
From a commercial standpoint, ServiceNow is also changing how customers access its capabilities. AI is no longer a separate purchase; it is included in every offering.
Customers can choose from different levels of capability – ranging from AI assistance to fully autonomous operations – but the foundational elements are always present. This, it says, removes much of the procurement and integration complexity that has historically slowed down enterprise AI adoption.
A key part of this new model is the Enterprise Service Management (ESM) Foundation, designed for organizations that want to deploy enterprise-grade service management quickly. It brings together multiple business functions – such as IT, HR, legal, finance, procurement, and workplace services – on a single platform, with an AI-driven setup enabling deployment in weeks rather than months.
Customer Impact: Robinhood’s Experience
Early customer results highlight the potential impact of these changes. At financial services company Robinhood, ServiceNow’s AI capabilities are already driving significant efficiency gains.
“ServiceNow AI deflects 70% of our employee requests before human intervention is needed – across IT, HR, and Legal,” said Jay Hammonds, head of technology operations at Robinhood.
“We reduced manual effort by 2,200 hours across 1,300 tickets monthly with AI embedded directly into our workflows. And with ServiceNow’s new AI-driven offerings, we can bring new teams and acquired entities live in weeks, not months. That is real speed-to-value.”
Final Thoughts
ServiceNow confirmed that:
- The new packaging model and ESM Foundation are available now.
- Build Agent skills will be available starting April 15.
- Context Engine is currently in preview, with broader availability to be announced.
This announcement marks another step in ServiceNow’s journey to move beyond being a system of record or engagement to embedding AI directly into how work happens.
For developers, architects, and platform owners, this means adapting to a world where context and data relationships are central to AI performance, development becomes increasingly AI-assisted and tool-agnostic, and governance is built into every layer of execution.