This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.
Summary of Standard Chat in Now Assist in Virtual Agent
Now Assist in Virtual Agent offers a conversational AI chat experience within a static chat window, integrating AI Search and generative AI chat skills to improve user support interactions.This solution is designed to accelerate issue resolution and reduce the need for live agent intervention by providing users with natural, easy-to-understand conversations powered by a large language model (LLM).
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Key Features
Interactive AI Conversations: Users receive a friendly greeting and explanation about the AI’s capabilities and limitations, supporting natural language input and contextual follow-up queries.
Synthesized Responses: Responses combine summaries with Genius Results from various sources, including Knowledge Base articles, Virtual Agent topics, catalog items, external content, and people data.
Multi-Source Citations: Inline citations and a Sources section provide transparency by linking to Knowledge Base articles, catalog items, Virtual Agent flows, external content (e.g., Microsoft SharePoint, Jira, Slack), and organizational people data when Knowledge Graph is enabled.
Context Awareness: The AI remembers conversation context to refine answers, such as continuing a discussion on company policies based on prior inputs.
Catalog Integration: Supports conversational catalog workflows and external catalog ordering with clear options to start requests directly within the chat or via external links.
Feedback Mechanism: Users can provide thumbs up/down feedback on responses, which helps train the AI model for improved accuracy over time.
Clarification and Escalation: If user input is ambiguous, the Virtual Agent asks clarifying questions and presents relevant citations, fallback topics, or options to escalate to a live agent, reset the conversation, or create an incident, based on administrative configuration.
People Information with Knowledge Graph: When enabled, users can search for people within their organization, receiving detailed popovers with contact information, location, shared files, and more, with security controls for shared Microsoft SharePoint files.
Practical Application for ServiceNow Customers
ServiceNow customers can leverage Now Assist in Virtual Agent standard chat to deliver AI-powered conversational support that improves user engagement and resolution speed. By enabling skills such as catalog ordering, integrating Knowledge Base and external content sources, and configuring escalation paths, organizations can tailor the experience to meet their support goals.
Administrators benefit from flexible configuration options including automatic launch of single-result actions, multi-turn catalog ordering workflows, and Knowledge Graph personalization for richer responses. The feedback system ensures continuous improvement of AI accuracy, while transparent citations build user trust by linking answers to authoritative sources.
Overall, this solution empowers customers to provide an efficient, context-aware, and user-friendly virtual agent experience that reduces support workload and enhances self-service capabilities.
Now Assist in Virtual Agent standard chat is a conversational support experience within a static chat window.
Now Assist in Virtual Agent enhances the user experience by combining AI Search with generative AI chat skills. These skills can speed up issue resolution and reduce deflection to a live agent.
Now Assist in Virtual Agent provides your users with an interactive generative AI experience. A friendly, natural language conversation is easier to understand and helps users to be more comfortable with chatting with a bot.
The following sections highlight how a conversation powered by generative AI might look in Virtual Agent.
Starting the conversation
The following figure shows an example of the beginning of a new conversation.
Figure 1. Now Assist greeting
Table 1. Now Assist greeting elements
Element
Description
1: Bot greeting
Note:
The Answers generated by AI. Review for accuracy. message prior to the greeting can't be edited or turned off.
After greeting the user, the bot provides an explanation of what the user can expect. Because the large language model (LLM) is still learning, the bot indicates that it may make mistakes, and that the user should check answers
for accuracy.
2: User request
The user can enter any utterance.
3: Response indicator
While the LLM processes the utterance, an animated avatar appears alongside latency feedback messages in the chat window to let the user know that the bot is working.
Chatting with the Virtual Agent
After the user enters an utterance and a search result is found, a synthesized response may appear. A synthesized response includes a brief summary of the requested information and search results along with Genius Results. For more
information on how these search results are found, see Now Assist
Actions Genius Results and Now Assist Q&A Genius Results.
If multiple results are found, they are presented to users, and users can view inline citations and/or the Sources section at the bottom of the synthesized response. Users can view Knowledge Base articles, Virtual Agent topics, subflows or actions, external content, people citations, and complete catalog request items. Virtual Agent can only return available catalog items that match a user's request when the Now Assist Multi-Turn Catalog Ordering skill is enabled. Users can follow up on a synthesized response and receive an answer that considers the previous context. For example, if you previously were chatting about
the company's travel policy and then enter International, the system recognizes that you’re wanting additional information on the company's international travel policy.
Whenever a single Virtual Agent topic is found within a synthesized response, users are brought directly into that action's flow. You may consider bypassing the synthesized response and options by automatically launching catalog
items, too. For more information on automatically launching single search result actions, search for the sn_nowassist_va.synthesized_autostart_items system property in Available system properties.
Responses generated in Now Assist in Virtual Agent can come from a combination of catalog items, Virtual Agent topics, subflows and actions, Knowledge Base articles, attachments, external content, and people sources. The following citations may appear inline and/or within the expandable Sources section depending on what search results are returned:
Catalog
Topic, subflows, or actions
Q&A Knowledgebase articles
External content connections
People
If you select an inline citation, a popover appears containing either additional information or an action to start a request.
Figure 2. An inline citation popover example linking to a source or action
Responses can also be generated based on content from the catalog item description and the Virtual Agent topic description. When this occurs, citations lead the user to one of the items in the Here's what you can do next section of the response.
Each Virtual Agent response includes a feedback icons panel. The user can indicate if the response was helpful by selecting the like thumbs up icon (). If the response wasn't helpful, the user can select the dislike thumbs down icon (). This feedback is used to train the LLM model and improve responses over time.
If your request is too ambiguous in a Virtual Agent chat, Virtual Agent asks a clarifying question and displays a citation with an action. Citations are presented starting from the second clarifying question. Select a citation to start the request. If there are no actions
relative to the request, citations aren’t shown.
Note:
If you need something else, the View other options option appears and if selected, a list of standard search results in list formatting appears along with one fallback topic. If there are no standard
search results, only the fallback topic appears.
If you need more help, Now Assist in Virtual Agent directs you to either a live agent, resets the conversation, or creates an incident. The option is determined by the admin in the Now Assist in Virtual Agent guided setup. For more information, see Configuring Now Assist in Virtual Agent.
Live agent support routes the user to an available agent when configured.
Reset the conversation restarts the conversation to the beginning to ask another question.
Record producer directs the user to a catalog record producer to create an incident or case.
If an administrator didn’t configure any skills, no available skills are shown. However, the chat bar remains available for the user to enter an utterance. This triggers AI Search for a Knowledge Base article or catalog item.
Figure 3. Example of a chat with no skills activated
For conversational catalogs, the Start request option appears, and if selected, the catalog request flow launches within the Virtual Agent. For non-conversational catalogs, the Go to request option appears with an external link that if selected, either redirects you to a new browser or pop-up window to order the
catalog item.
Figure 4. Example of a synthesized response with conversational and non-conversational catalog optionsFigure 5. Example of a conversational catalog response flowFigure 6. Example an LLM-generated message before auto-executing the first step in the action
When the catalog order is complete, Virtual Agent displays a card for the order.
Figure 7. Example of a summary confirmation for a completed catalog request
Topic, subflows, or actions citations
The [Asset's name] option appears, and if selected, the asset flow begins in Virtual Agent.
Q&A Knowledge Base citations
The answer is shown with the option to view your sources through the numbered inline citations icon (). These Knowledge Base inline citations show which ServiceNow knowledge articles were used to generate the response.
Note:
If you have activated Knowledge Graph, you may get more personalized Q&A Knowledge Base responses depending on whether the user schema attributes were triggered. For more information about receiving these personalized responses, see Access Knowledge Graph Schemas.
External content connections citations
If external search sources are added to your information sources when Configuring Now Assist in Virtual Agent, you can search through external content connections. This can include information from attachments and knowledge blocks, or from the following list of content connection:
Figure 8. Example of an inline citation with external content source popover
People citations
Information about people in your organization can be found if you have activated Knowledge Graph. Information about the person you're searching for appears in the synthesized response, along with an in-line numbered citation and people citation in the Sources section. If a
direct match doesn't occur and multiple people are found, try providing more information to narrow down the people search results. Up to three people can appear in a synthesized response. You may be asked a clarifying question, such
as Are you asking about [user_1], the programmer, or [user_2], the faculty member? to yield better results. Selecting the person's name in the Sources section redirects you to the
portal's user profile landing page.
Figure 9. Example of a synthesized response with people results
Selecting the person's inline numbered citation presents a popover. The information in the popover can include the following information:
Note:
The following popover details can be customized through EVAM. For more information about customizing the data details, see Define an EVAM view template.
Manager
Location
Email
Teams
Phone
Shared files
Important:
Shared Microsoft SharePoint files only appear if a Knowledge Graph admin has activated the sn_kg_conn_user_shared_files record in the Knowledge Graph Related Data Map [sn_kg_related_data_map_list] table. Shared Microsoft SharePoint files between you and the person found appear only on the people popover. These shared files only appear after you have completed the prompt to Log in, signed in
successfully, and have entered a new search query for that person. A new search query is necessary after you have signed in so that up to three shared Microsoft SharePoint files can appear. You’re automatically logged out of your Microsoft account every three months and must repeat the Log in prompt again to see shared files.
Although rare, when you receive a synthesized response that includes a person, you may also receive other citations associated with that person. For example, a Knowledge Base article that was authored by the person you searched for may also appear.