--- sourceDocument: Australia Employee Service Management sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/employee-service-management Release : - australia ft:locale : - en-US ft:publication_title : - Australia Employee Service Management ft:clusterId : - emplsm bundleId : - emplsm workflow : - Employee --- # Auto-case creation from an email # Auto-case creation from an email {#ariaid-title1} Release version: Australia Updated March 12, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete. ## Summary of Auto-case creation from an email Auto-case creation enables automatic categorization of HR cases submitted via email, leading to quicker responses and improved case resolution for employees. This feature is particularly useful when HR cases are generated through various channels, including emails sent to a general HR address. Show full answer Show less ## Key Features * **Predictive Intelligence:** This auto-trained model categorizes HR cases based on the email's subject line and body content. * **Active Requirement:** Available with HR Professional and HR Enterprise packages when HR Service Delivery and Predictive Intelligence applications are activated. * **Manual Disabling:** If not desired, you can disable this feature in HR Administration under Application Properties. * **Solution Definitions and Business Rules:** Includes a specific solution definition that predicts the HR service from case descriptions and a business rule that generates predictions upon case creation. ## Key Outcomes Once configured, employees can expect their HR cases to be automatically categorized, minimizing manual intervention and expediting service delivery. Proper setup allows for efficient training of predictive models based on existing HR case records, ensuring accurate case handling and improved service efficiency. Automatically categorize HR cases submitted by email. Auto-case creation allows for a faster response time and better case resolution for employees. HR cases can be created via email, phone, or a self-service Service Portal such as the Employee Service Center. By default, an email sent to the general address for HR requests is created as a general inquiry case. An HR agent then has to review and manually recategorize it to the appropriate HR service. With Predictive Intelligence, a predictive model is auto-trained to categorize HR cases submitted by email. The email is routed to the appropriate HR service based on the subject line and body.{#hr-agent-intelligence__p_nnd_nfg_h1c} Note: This feature is available with the HR Professional and HR Enterprise packages when you activate the HR Service Delivery and Predictive Intelligence applications. If you do not want to use this feature navigate to HR AdministrationApplication Properties and disable the Enable HR Case auto categorization property. On instances where both Predictive Intelligence and HR Service Delivery are active, the following solution definition and business rule are available to use.{#hr-agent-intelligence__p_pnd_nfg_h1c} {#hr-agent-intelligence__table_zls_rtz_fgc__entry__2} | Solution Definition | Description | |-|-| | HR Case Categorization | Predicts the HR service from the Short description and Description. | [Table 1. Solution Definitions and Business Rules (Active)] {#hr-agent-intelligence__table_zls_rtz_fgc} {#hr-agent-intelligence__table_c1g_b5z_fgc__entry__3} | Business rule | Table | Description | |-|-|-| | Predict COE, Service after insert | HR Case \[sn_hr_core_case\] | Generates prediction results for active HR Service Delivery solutions. Runs when a new HR case record submitted by email is inserted. | [Table 2. Business Rules and Tables (Active)] {#hr-agent-intelligence__table_c1g_b5z_fgc} By default, the solution definition is configured and the predictive model is auto-trained when the following conditions are met. Auto training happens based on the frequency configuration of solution definition. * The Human Resources Scoped App: Core (com.sn_hr_core) plugin is installed. * The Predictive Intelligence (com.glide.platform_ml) plugin is installed. * There are 10000 records of HR case study matching the filters defined in the solution definition. * The glide.platform_ml.auto_training.enabled system property is set to true. {#hr-agent-intelligence__configured-conditions}When any one of the preceding conditions is not met, you must manually configure the solution definition and train the predictive model from the HR AI configuration module. If you use domain separation in your instance, you can define the solution definition to use for each domain by creating additional configuration records. See [Configure the HR solution definition and domain](https://servicenow-prod.fluidtopics.net/wSGgmnWfSy22BrfeYL~D2A "Configure your solution definition from the HR AI configuration module, as well as access the solution definition record for training. If you use domain separation in your instance, you can define the solution definition to use for each domain by creating additional configuration records.") for more information. Once your solution definition is trained, you can test the solution prediction by sending emails to the general email address for HR requests. You can then verify that the corresponding HR cases are automatically categorized to the appropriate HR service. See [Test an HR solution prediction](https://servicenow-prod.fluidtopics.net/R0D6Au_oVjvRLSIGsFKl5A "Test the solution prediction by sending emails to the general email address for HR requests. Verify that the corresponding HR cases are automatically categorized to the appropriate HR service.") for more information.{#hr-agent-intelligence__p_rnd_nfg_h1c} *[\>]: and then