Workflow data fabric spoke asset discovery AI Agent
This Workflow Data Fabric agent finds specific flows, subflows, and actions inside a named spoke that fulfill a user's stated automation goal. This agent is triggered only when a user has identified a spoke and wants to explore what reusable assets it contains for their use case.
Workflow
- Identify the likely spoke/integration and ask the user to confirm before searching.
- Check whether both the spoke name and a clear purpose (what the user wants to accomplish) are present, and ask additional questions if not.
- Search for flows and actions using both the spoke name and the user's stated intent as filters.
- Present matched flows and actions grouped by type, noting which spoke/package each belongs to.
|
Field |
Description |
|---|---|
|
Allow third party to access this AI agent |
When enabled, third-party AI agents can use this agent. This value is off (false) by default. This setting is defined in the AI Agent configs [sn_aia_agent_config] table on the External discoverable field. |
|
Allow AI specialists to access this AI agent |
When enabled, AI specialists can use this agent. This value is off (false) by default. When set to true, more configuration options for tools become available so that an AI specialist can map inputs and response templates to tool outputs. This setting is defined in the AI Agent configs [sn_aia_agent_config] table on the Specialist enabled field. |
|
Manage long-term memory |
When enabled, all previous user interactions are used as context for the LLM. This value is off (false) by default. This setting is defined by the sn_aia.ltm.enable_long_term_memory system property. For more information, see ServiceNow Otto AI agents reference. |
|
Tools |
Fetch Spoke Assets |
|
Allowed user roles The specific user roles that can access this AI agent. |
maint, df_data_steward, wdf_operator, wdf_consumer, connection_admin, wdf_builder |
|
Data access roles The specific user identity roles that determine which data the AI agent can access and what actions it can take. |
wdf_builder, wdf_operator, df_data_steward, connection_admin, wdf_consumer |
|
Triggers |
Optional. None defined by default. An admin can specify triggers if desired. For more information, see Add a trigger to an AI agent. |
|
Channels |
Configure an assistant for Virtual Agent or ServiceNow Otto panel using Assistant Designer. |
|
Used in agentic workflows |
Default VA Workflow |
Parent Topic:Workflow Data Fabric AI agents
--- title: Workflow data fabric spoke asset discovery AI Agent description: This Workflow Data Fabric agent finds specific flows, subflows, and actions inside a named spoke that fulfill a user's stated automation goal. This agent is triggered only when a user has identified a spoke and wants to explore what reusable assets it contains for their use case. locale: en-US canonical_url: https://www.servicenow.com/docs/r/australia/intelligent-experiences/wdf-workflow-data-fabric-spoke-asset-discovery-ai-agent.html release: australia topic_type: reference last_updated: "2026-09-10" reading_time_minutes: 2 breadcrumb: [Workflow Data Fabric AI agents, Workflow Data Fabric AI agents, AI agents library, AI agents and agentic workflows, Enable AI Experiences] --- # Workflow data fabric spoke asset discovery AI Agent This Workflow Data Fabric agent finds specific flows, subflows, and actions inside a named spoke that fulfill a user's stated automation goal. This agent is triggered only when a user has identified a spoke and wants to explore what reusable assets it contains for their use case. ## Workflow 1. Identify the likely spoke/integration and ask the user to confirm before searching. 2. Check whether both the spoke name and a clear purpose \(what the user wants to accomplish\) are present, and ask additional questions if not. 3. Search for flows and actions using both the spoke name and the user's stated intent as filters. 4. Present matched flows and actions grouped by type, noting which spoke/package each belongs to. <table><thead><tr><th> Field </th><th> Description </th></tr></thead><tbody><tr><td> Allow third party to access this AI agent </td><td> When enabled, third-party AI agents can use this agent. This value is off \(false\) by default. This setting is defined in the AI Agent configs \[sn\_aia\_agent\_config\] table on the External discoverable field. </td></tr><tr><td> Allow AI specialists to access this AI agent </td><td> When enabled, AI specialists can use this agent. This value is off \(false\) by default. When set to true, more configuration options for tools become available so that an AI specialist can map inputs and response templates to tool outputs. This setting is defined in the AI Agent configs \[sn\_aia\_agent\_config\] table on the Specialist enabled field. </td></tr><tr><td> Manage long-term memory </td><td> When enabled, all previous user interactions are used as context for the LLM. This value is off \(false\) by default. This setting is defined by the **sn\_aia.ltm.enable\_long\_term\_memory** system property. For more information, see [ServiceNow Otto AI agents reference](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/intelligent-experiences/na-aia-reference.md). </td></tr><tr><td> Tools </td><td> - **Script** Fetch Spoke Assets </td></tr><tr><td> Allowed user roles The specific user roles that can access this AI agent. </td><td> maint, df\_data\_steward, wdf\_operator, wdf\_consumer, connection\_admin, wdf\_builder </td></tr><tr><td> Data access roles The specific user identity roles that determine which data the AI agent can access and what actions it can take. </td><td> wdf\_builder, wdf\_operator, df\_data\_steward, connection\_admin, wdf\_consumer </td></tr><tr><td> Triggers </td><td> Optional. None defined by default. An admin can specify triggers if desired. For more information, see [Add a trigger to an AI agent](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/intelligent-experiences/add-trigger-aia.md). </td></tr><tr><td> Channels </td><td> Configure an assistant for Virtual Agent or ServiceNow Otto panel using [Assistant Designer](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/conversational-interfaces/configure-now-assist-va.md). </td></tr><tr><td> Used in agentic workflows </td><td> Default VA Workflow </td></tr></tbody> </table>Learn more about Workflow Data Fabric at [Build an automation with AI](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/integrate-applications/build-automation-now-assist.md). **Parent Topic:**[Workflow Data Fabric AI agents](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/intelligent-experiences/wdf-ai-agents-overview.md)
| title | Workflow data fabric spoke asset discovery AI Agent |
| description | This Workflow Data Fabric agent finds specific flows, subflows, and actions inside a named spoke that fulfill a user's stated automation goal. This agent is triggered only when a user has identified a spoke and wants to explore what reusable assets it contains for their use case. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/australia/intelligent-experiences/wdf-workflow-data-fabric-spoke-asset-discovery-ai-agent.html |
| release | australia |
| topic_type | reference |
| last_updated | 2026-09-10 |
| reading_time_minutes | 2 |
| breadcrumb | Workflow Data Fabric AI agentsWorkflow Data Fabric AI agentsAI agents libraryAI agents and agentic workflowsEnable AI Experiences |