ServiceNow Now Assist is growing fast. What launched as a set of core features — case summarization, suggested replies, next-best-action — has expanded into a broader AI capability set that touches more of the ServiceNow platform with every major release. If you are using Now Assist or evaluating it, understanding the full range of AI features helps you get more from the platform.
This article covers the current AI features in ServiceNow Now Assist, how they work, and which teams benefit most from each one.
Generative AI Features for Agents
The core Now Assist features that agents interact with every day are built around reducing manual effort and improving consistency.
Now Assist for Case Management
Case Summarization generates a plain-language briefing of the case history when an agent opens a record. It draws on case notes, customer account data, related incidents, and prior resolutions. The summary replaces the need to scroll through a long thread to understand context.
Suggested Responses drafts an outbound message to the customer based on the current case state. The agent can edit, approve, or dismiss it. The draft reflects the actual case details — not generic templates — which makes it faster to work with than starting from scratch.
Resolution Notes Generation helps agents close cases faster. When an agent resolves a case, Now Assist can draft the resolution notes based on the steps taken. This saves time and ensures resolution notes are more complete and consistent than when agents write them manually.
Now Assist for Field Service
Field service dispatchers work with complex, multi-asset case histories that are time-consuming to review. Now Assist for Field Service generates dispatcher briefings — summaries of the case, the asset history, and the relevant technical documentation — so dispatchers can brief technicians quickly and accurately.
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AI for Self-Service and Virtual Agents
ServiceNow's self-service portal and virtual agent have both been enhanced with generative AI capabilities.
Virtual Agent with Generative AI
The ServiceNow Virtual Agent can now handle more complex multi-turn conversations using generative AI. Instead of following a rigid decision tree, the virtual agent can understand natural language questions and generate relevant answers drawn from the organization's knowledge base and live system data.
When the virtual agent cannot resolve the issue, it hands off to a human agent with a full transcript and a generated summary of the conversation. The human agent does not have to ask the customer to repeat themselves — they have the full context immediately.
AI-Powered Knowledge Article Suggestions
When a customer searches in the self-service portal, Now Assist surfaces the most relevant knowledge articles using semantic search rather than keyword matching. A customer asking "my order never arrived" will find the right article even if the article title uses different language. This improves self-service resolution rates, particularly for customers who do not know the exact terminology to search for.
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Predictive Intelligence Features
Separate from the generative AI features, ServiceNow has long-running machine learning capabilities called Predictive Intelligence. These are distinct from Now Assist but are part of the broader AI story on the platform.
Predictive Intelligence uses your organization's historical case data to train classification and routing models. The models predict which team a new case should go to, how urgent it is, and how long it is likely to take to resolve. These predictions are presented as suggestions that agents can accept or override.
The models improve over time as they process more cases. Organizations that have been running ServiceNow for several years typically have highly accurate routing models because the training data is rich and representative of their specific case patterns.
AI for Developers and Administrators
Now Assist also has features aimed at the people who build and maintain ServiceNow implementations.
Now Assist for Creator helps developers write ServiceNow scripts. A developer describes what they want in plain English and Now Assist generates the code. The developer reviews, edits, and deploys it. This is particularly useful for less experienced developers who know what they want to build but are not fluent in ServiceNow scripting conventions.
Now Assist for Administrators helps admins configure the platform. When an admin needs to build a new workflow or modify an existing one, Now Assist can suggest the configuration steps and flag potential issues before they go live. This reduces configuration errors and helps admins move faster on routine tasks.
What Is Coming Next in Now Assist
ServiceNow has signaled that the expansion of Now Assist is a core part of its product roadmap. The direction is toward more agentic AI — AI that takes multi-step actions rather than just generating text suggestions.
In practice, this means AI that can handle simple cases end-to-end without human involvement, escalating to a human only when the case requires judgment. It also means AI that can initiate outbound actions — creating follow-up tasks, updating external systems, triggering notifications — rather than waiting for a human to do so.
For organizations hiring ServiceNow talent today, this trajectory means the most valuable people will be those who understand how to design, oversee, and optimize AI-assisted workflows — not just configure the platform in its current form.