Use an AI agent action

Use flow data to run an AI agent and configure the expected agent output for use later in the flow.

Roles and availability

Available as a Flow Designer Gen AI spoke action, which requires the Now Assist AI agents plugin. Users with the flow_designer or admin role can add an action to a flow and define configuration details.

Inputs

Provide a value for each input that your action needs. To add dynamic values, you can also select data pills using the pill picker.

AI Agent

Data type: Reference

The AI Agent that you want to use in this flow. You must install the Now Assist AI agents plugin and create and configure an AI agent. For information about installing the Now Assist AI agents plugin, see Install Now Assist AI agents. For information about creating an AI agent, see Create an AI agent.

Support User

Data type: Reference

The user who is contacted by Now Assist to review and authorize the AI agent's work when the AI agent runs in supervised mode. Select a user who meets the security criteria defined in the AI security controls. If the AI agents is configured to accept a dynamic user, select a user that has the roles necessary to run the AI agent. For more information about the security controls of an AI agent, see Define security controls for an AI agent. For information about turning on the Now Assist panel, see Activate the Now Assist panel standard chat.

Objective

Data type: String

The text directions sent to the AI agent.

Wait for completion

Data type: True/False

Option to pause the flow until the AI agent finishes running and provides output values.

Execution mode

Data type: Choice

Option to run an AI agent with or without user input or approval. In Autonomous mode, the action runs the AI agent without any user input or approval. In Supervised mode, the action requires user input or approval to run the AI agent.

Expected outputs

Data type: Dynamic Object

List of output objects that the AI agent is expected to return. Each expected output is an object that has a label, name, and a data type value. You can use the expected outputs to gather data from the AI agent and then use that data elsewhere in the flow.

Conversation label

Data type: String

The name that identifies the conversation about running the AI agent in the Now Assist panel. For information about activating the Now Assist panel, see Activate the Now Assist panel standard chat.

Context Memory

Data type: String

The context information that you want to send to the AI agent. This context helps determine what output values the AI agent produces.

Outputs

You can use these outputs as inputs for other items.

Execution Plan Record

Data type: Reference

The record containing the Objective, Execution Tasks, Messages, and Tools Executions run by the AI agent.

Agent Output

Data type: Dynamic Object

The object containing the list of expected output values generated by the AI agent.

Agent Message

Data type: String

The message returned by the AI agent.

Agent Status

Data type: String

The run status of the AI agent. The AI agent returns success when it runs or failure when it doesn't run.

Use Incident resolution details AI agent

This example requires installing the Now Assist for IT Service Management (ITSM) plugin and turning on the Resolution notes generation skill.

In this example, the Use an AI agent action is configured to use the Incident resolution details AI agent in a supervised mode. The objective lists data that will help the AI understand the resolution of an incident.

Since this example runs in supervised mode, the flow pauses until the support user interacts with the conversation generated in the Now Assist panel.

After the support user provides the necessary response, the flow continues running the action and provides it output values. The flow uses these output values to send an email message.