Explore HR Service Delivery Integration with Magnit

  • Freigeben Version: Australia
  • Aktualisiert 12. März 2026
  • 1 Minute Lesedauer

    • Understand the end-to-end work flow of HR Service Delivery Integration with Magnit.

    End-to-end flow

    1. Ensure that the manager profile is available in the ServiceNow AI Platform instance before pulling contingent worker information.
    2. Import ​Location, Department, Job that must be associated to the contingent worker into ServiceNow AI Platform instance (for example, via bulk import). In case, you do not import the corresponding IDs, these values remain null for the contingent employee​.
    3. With the sn_hr_magnit.admin role, create relevant HR task templates and associate them to onboarding items pulled from Magnit instance. For more information, see Map Magnit tasks.
    4. Create the following properties for the Magnit source. These are one-time configurations:​
      • full_pull_wait_time: Wait time between receiving correlation ID and calling the full pull action
      • delta_pull_wait_time: Wait time between receiving correlation ID and calling the delta pull action
      ​ For more information, see Source for HR Service Delivery Integration with Magnit.
    5. Pull contingent workers from Magnit application into ServiceNow AI Platform instance via a scheduled job that can be configured. See Activate a schedule flow.
      A life cycle event is triggered and a lifecycle case is created for each contingent worker. An HR task is created for each onboarding item within the lifecycle case.
      Hinweis:
      If an HR task is not created for onboarding item, verify if an active Magnit mapping record exists for that onboarding item. For more information, see Map Magnit tasks.​

      Contingent workers complete onboarding tasks from ServiceNow AI Platform instance.

    Abbildung : 1. Flow diagram
    End-to-end work flow of HR Service Delivery Integration with Magnit.