Task Intelligence for Customer Service

  • Rversion finale: Australia
  • Mis à jour 12 mars 2026
  • 4 minutes de lecture
  • Task Intelligence for Customer Service offers several AI capabilities such as language detection, record categorization, Sentiment Analysis, and Document Intelligence. These capabilities automate several routine tasks across the case lifecycle and enable agents to focus on complex case resolution.

    Figure 1. Task Intelligence features on the Case form
    Case form with highlighted Task Intelligence features that automate routine tasks across the case lifecycle. For the text description, refer to the Task Intelligence for Customer Service features table.
    Tableau 1. Task Intelligence for Customer Service features
    Feature Description
    Record categorization
    Task Intelligence for Customer Service provides the following types of categorization:
    • Multi-lingual record categorization: Use a machine learning model that understands English, French, German, and Spanish to evaluate text in emails and records created in different languages and to predict and automatically populate fields on records in the Case table, tables that extend the Case table, and the Interaction table.

      This feature uses one machine learning model to support multiple languages so you no longer need one model per language. The model can also support additional languages on demand.

    • Attachment-based record categorization: Use a machine learning model to parse email or record text and attachments and automatically populate fields on case and interaction records based on signals contained in the text.

      This feature evaluates text in the email subject and body, the record short description and description, and the attachments and uses all of this information to predict field values. As a result, you can integrate predictions with any routing engine and automatically route records to the appropriate service desk based on these values.

    Sentiment Analysis
    Detect and display the initial and ongoing sentiment of customer service cases by evaluating the following text:
    • Email subject and body
    • Case short description and description
    Help agents gauge customer emotions and better prioritize their work while enabling them to provide more empathetic and compassionate customer experiences.

    Sentiment Analysis is currently available in English.

    Language detection

    Identify the language used to create a customer service case and add the language to the Language field for the case record. This feature can identify up to 20 different languages.

    Add the identified language to the case as a skill, which is stored in the Task Skills table. This table can be configured as a related list on the Case form.

    Use the identified language to route cases to assignment groups and agents with the necessary language skills.

    Document Intelligence

    Document intelligence reduces the time needed to resolve the case by automating some of the routine case tasks, which enables agents to focus on more complex case resolution.

    Extract relevant information from PDF and image files, such as credit card numbers, vendor names, or customer addresses, and add that information to fields on the case.

    Task Intelligence Admin Console

    The Admin Console provides a business friendly interface that you can use to create, train, and deploy machine learning models to predict field values for records, extract sentiment, and detect language.

    The models provide flexible options to either auto-fill values on the records or to provide recommendations only, depending on the sensitivity of those fields. An option is also available to run the model in the background only for monitoring purposes.

    DocIntel Admin experience The Document Intelligence application includes the DocIntel Admin experience, which provides an easy-to-use interface that you can use to do the following:
    • Create and configure document processing use cases
    • Monitor the performance of Document Intelligence use cases
    For more information, see Create a Document Intelligence use case.
    Similar case recommendation Use the Similar Case Recommendation feature to quickly locate similar cases that offer valuable insights into the current issue. Also, use this feature to suggest cases that might be related to major problems, helping you provide more informed and efficient support.

    Request apps on the Store

    Visit the ServiceNow Store to view all the available apps, and for information about submitting requests to the store. For cumulative release notes information for all released apps, see the ServiceNow Store version history release notes.

    Task Intelligence for Customer Service application

    The Task Intelligence for Customer Service application (com.snc.csm_ml_task) is available from the ServiceNow Store. This application has the following plugin dependencies:

    • Predictive Intelligence for Customer Service Management (com.snc.csm_ml)
    • Customer Service (com.sn_customerservice)
    • Skills Management (com.snc.skills_management)
    • Dynamic Translation (com.glide.dynamic_translation)
    • ServiceNow Language Detection Service Spoke (com.glide.language_detection_spoke)
    • Predictive Intelligence - Task Intelligence (com.glide.platform_ml_task)
    • Admin Center for Task Intelligence (com.sn_ti_admin)

    Configuring Task Intelligence for Customer Service

    After installing the Task Intelligence for Customer Service application, you can configure the different features and use the Task Intelligence Admin Console to create models. For more information, see:

    Using Task Intelligence for Customer Service

    Use the Task Intelligence features to complete the following tasks:
    • Create field prediction and sentiment models for case and interaction records
    • Review and submit values extracted by Document Intelligence
    • Review Task Intelligence analytics and prediction history
    For more information about these tasks, see Use Task Intelligence for Customer Service.