---
sourceDocument: Australia Conversational Interfaces
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/pt-BR/conversational-interfaces

 Release :

    - australia

ft:locale :

    - pt-BR

ft:publication_title :

    - Australia Conversational Interfaces

ft:clusterId :

    - convint

bundleId :

    - convint

workflow :

    - Platform


---

# Using AI agents in Virtual Agent topics

# Using AI agents in Virtual Agent topics {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 min. de leitura

Use an AI agent custom skill to have it perform a task passed to it, such as compiling info on a KB article.
There may be AI agents installed with the Now Assist application that are not used in use cases. To learn how to see all agents that are available to you, see [Find AI agents](https://www.servicenow.com/docs/access?context=find-ai-agents&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US).
An AI agent performs a task that you pass to it inside the AI Connector utility in Virtual Agent Designer. For more information on the AI Connector utility, see [AI Connector utility](https://servicenow-prod.fluidtopics.net/xLvWfH_ZrYQfT5VixQ4TjA "Use this utility to link generative AI to custom skills for added versatility in your Virtual Agent LLM (large language model) conversations.").

For example, you can use the AI Agent in the AI Connector utility to get all data on a Knowledge Base article. The AI Agent provides the article if it is available or notifies you if it can't find it. The agent also provides data
on the consolidation itself by way of its output mappings.

To see which AI agents are installed on your instance, see [Find AI agents](https://www.servicenow.com/docs/access?context=find-ai-agents&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US).

To use the AI agent, select it from the Skill type drop-down list in the AI Connector utility, then select the AI agent's type from the Select AI agent drop-down. For example, to have
the AI agent consolidate a knowledge base article, select KB content consolidation AI agent.

Define the task for the AI agent by placing a value in the Task input mapping variable. You can define a condition, or enter a script or command. For example, enter `return KB00090;` to have
the AI agent retrieve that knowledge base article and consolidate its information into a reply in the Virtual Agent chat.

The AI agent's output mapping properties are automatically defined when you select the AI agent type. All output mappings are returned in the chat when the AI agent completes the task.
{#ai-agent-custom-skill__table_orx_d4v_lfc__entry__2}

| Variable | Description |
|-|-|
| Execution plan ID | ID number of the execution plan. |
| Execution state | Current state of the execution plan. |
| Objective | Intended task for the execution plan. |
| State reason | Reason for the execution plan's current state. |
| Messages | List of messages sent through the execution plan. |
| Execution tasks | List of tasks in the execution plan. |
| Execution tools | List of tools in the execution plan. |
[Tabela 1. AI agent output mapping properties]

{#ai-agent-custom-skill__table_orx_d4v_lfc} When the AI agent performs its job, it generates the full plan showing the input and output mappings. Each plan shows the objective, all tasks performed for the objective, and any messages sent or tools
used in the plan. All plans are listed in the Execution Plan \[sn_aia_execution_plan_list\] table.