Managing Spark actions
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Use the Manage Spark Actions page to define which automated actions Spark can run and how it interacts with employees during execution.
On this page, you define:
Which Agent actions, Remote actions, and Workflows Spark can run
Whether Spark requires employee approval before running a Remote action or Workflow
Which messages Spark displays before, during, and after action execution
These settings help you balance automation and operational control while ensuring clear and transparent action execution for employees.
Accessing actions
To access the list of available actions, navigate to Spark > Manage actions.

Search
Use the search bar in the top-right corner of the page to locate an action by name. This narrows the displayed results and helps you focus on specific topics or issues.
Spark actions table
The table lists all actions available to Spark. It is organized by:
Name: The unique name of the action.
Origin: Indicates where the action originates.
Purpose: Indicates whether the action is Diagnostic or Remediation. This applies to Agent and Remote action.
Type: Indicates whether the action is an Agent action, Remote action, or Workflow. Only actions explicitly enabled for Spark by an administrator appear in the list.
Category: Indicates the action category based on its purpose. This applies to Agent actions only.
Platforms: The operating systems supported by the action.
Spark permissions: Toggle on to allow Spark to use the selected Agent action.
Agent actions are part of the system content managed by Nexthink. You cannot create or delete them.
Enabling Spark permissions
Use the Spark permissions column to enable or disable an Agent Action, Remote Action, or Workflow. When you enable a Remote action or Workflow, the Configure action approval panel appears.
Configuring action approval
Use Configure action approval in the action menu to define whether Spark requires employee approval and how Spark communicates with the employee.
At this step, you define the messages Spark displays at each stage of the action lifecycle. These messages help employees understand what is happening and why.

In the configuration dialog, specify:
Execution mode
Ask for employee approval first: Spark prompts the employee before running the action.
Run without employee approval: Spark executes the action automatically.
Employee messaging
Employee messaging varies by Spark action type.
Define the messages Spark displays at each stage of execution:
Before execution: Explains why the action is required and what Spark is about to do.
During execution: Informs the employee that the action is running and describes any temporary impact.
After execution (optional): Confirms that the action has completed and explains what changed or what to do next.
These messages ensure transparency and support a positive employee experience.
Action menu
The actions may vary depending on the type of Spark actions.
Select an action in the table, and click the action menu on the right side of the table to view the available options.
Agent actions
For Agent actions, view:
Details: View information about the selected action.
Execute action: Run the action on a relevant device to verify its behavior before enabling it for Spark.
Remote actions
For Remote actions, view:
Details: View information about the selected action.
Configure action approval: Define whether Spark should request employee consent before running the action.
Employee messages: View the messages shown to the employee:
Before action execution
During action execution
After the action completes (optional)
Edit: Edit the selected remote action. This opens the Manage remote actions configuration page.
Workflows
For Workflows, view:
Details: View information about the selected workflow.
Configure action approval: Define whether Spark should request employee consent before running the workflow.
Employee messages: View the messages shown to the employee:
Before action execution
After the action completes (optional)
Edit: Edit the selected remote action or workflow. This opens the Manage workflow configuration page.
Querying Agent actions with NQL
Refer to the Spark NQL capabilities documentation for more information.
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