---
sourceDocument: Australia Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences

 Release :

    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Automation table discovery AI agent

# Automation table discovery AI agent {#ariaid-title1}

* Release version: Australia
* 
* Updated August 14, 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

This Workflow Data Fabric agent collects asset, time, and scope inputs from the user and returns a structured JSON payload identifying the target execution tables for automation discovery.

## Workflow {#wdf-ac-automation-table-discovery-ai-agent__zsmdlwierhjt}

1. Prompt the user for an automation asset they want to analyze. If the user selects Other, switch to an alternate path that collects a free-text description and discovers matching execution tables.
2. Ask the user what time range to analyze.
3. Ask which application scope(s) to search across.
4. Display a confirmation message summarizing the selections, then output a structured JSON payload for a downstream workflow to execute the actual search.
{#wdf-ac-automation-table-discovery-ai-agent__ol_k3t_cjq_zjc}  
{#wdf-ac-automation-table-discovery-ai-agent__zsmdlwierhjt__entry__2}

| 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](https://www.servicenow.com/docs/MUqSU8rHp3ao~q3QEWgHkA "Find more information about user roles, tables, and the different properties that are installed in ServiceNow Otto AI agents."). |
| Tools | Scripts :   Discover \& Resolve Exec Tables :   LoadBaseCtx :   Questionnaire |
| Agent roles (ACLs) | sn_ac.automation_technical_user |
| Data access roles | sn_ac.automation_technical_user |
| Triggers | Optional. None defined by default. An admin can specify triggers if desired. For more information, see [Add a trigger to an AI agent](https://www.servicenow.com/docs/NXqRJBQV_Vw00FEzklcAJw "In the guided setup for an AI agent, add triggers to run the AI agent automatically when certain conditions are met."). |
| Channels | Configure an assistant for Virtual Agent or ServiceNow Otto panel using [Assistant Designer](https://www.servicenow.com/docs/access?context=configure-now-assist-va&version=australia&pubname=australia-conversational-interfaces&ft:locale=en-US). |
| Used in agentic workflows | Automation Explorer |
[Table 1. Configuration]

Learn more about Workflow Data Fabric at [Build an automation with AI](https://www.servicenow.com/docs/access?context=build-automation-now-assist&version=australia&pubname=australia-integrate-applications&ft:locale=en-US).