Create a Task record from a Record Producer Catalog Item [sc_cat_item]. The Task record inherits values from the catalog item's variable values.

Roles and availability

Available as a Workflow Studio ServiceNow core action. 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 drag and drop pills from the Data panel or select them from the pill picker.

Input Data type Description
Catalog Item Record Reference to catalog item used to create a Task record.
Catalog Item Inputs String Catalog variables associated with the catalog item you choose. You can view associated catalog variables for Catalog Items from Service Catalog > Catalog Definitions > Record Producers.
Don't fail on error True/False Catalog variable indicating whether to fail on error.

Outputs

These outputs appear in the Data panel. You can use them as inputs elsewhere in your flow.

Error messages

If an error occurs with this action, the following error messages appear in the execution details page.

Error message Description
Record generation failed, check logs to get more information. This error typically occurs when your flow or action contains logic to insert a record or records into other tables. When this logic exists, the Record Producer action aborts inserting the record into the table.

Design considerations

Follow these design considerations when creating flows that contain Record Producer actions.

Escape quotation marks from string data pills with the String Replace transform function
Complex string variables are converted into JSON format when stored in the system. To prevent any JSON formatting errors, you can use a Replace String transform function to escape the quotation marks present in any string data pills you use for catalog variables. See String transform functions.
Use transform functions to validate data pills
Whenever you use a data pill to provide data for an action input, you can use a transform function to validate the data. See Transform functions for a list of available transform functions.