Machine Learning solutions for Flow Designer

  • Release version: Yokohama
  • Updated January 20, 2026
  • 2 minutes to read
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    Summary of Machine Learning Solutions for Flow Designer

    Predictive Intelligence for Flow Designer (com.snc.mlflowdesigner) enables ServiceNow customers to implement machine learning solutions within their instance. This spoke allows users to integrate predictive model outcomes into workflows effectively. Activation of this spoke requires the Predictive Intelligence plugin (com.glide.platformml).

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    Key Features

    • Frameworks: Three frameworks are offered for creating machine-learning solutions:
      • Classification Framework: For categorizing data.
      • Similarity Framework: For identifying similar records.
      • Clustering Framework: For grouping data into clusters.
    • User Requirements: Requires a sharedservice.worker user for training and a pre-trained Predictive Intelligence solution.
    • Dependencies: Ensure the following plugins are installed:
      • Predictive Intelligence (com.glide.platformml)
      • Predictive Intelligence Reporting (com.glide.platformmlpa)

    Spoke Actions

    The spoke provides several actions to leverage existing models without scripting:

    • Classification Batch Prediction: Predict values using multiple input records.
    • Classification Prediction: Predict a value using a single input record.
    • PI Confidence Check: Compare the output value of predictions against a specified user value.
    • Regression Batch Prediction: (Deprecated) Predict values from multiple records.
    • Regression Prediction: (Deprecated) Predict a value from a single record.
    • Similarity Prediction: Retrieve similar records based on user-defined criteria.

    Spoke User Roles

    The spoke includes user roles to manage access:

    • mladmin: Provides access to all Predictive Intelligence features.

    With Predictive Intelligence for Flow Designer (com.snc.ml_flowdesigner), you can deploy machine learning solutions in your instance. This spoke provides actions to incorporate Predictive Intelligence model predictions into flows.

    Predictive Intelligence activation

    This spoke requires Predictive Intelligence (com.glide.platform_ml). For more information, see Install Predictive Intelligence.

    Key features

    Predictive Intelligence for Flow Designer provides three frameworks that you can use to create machine-learning solutions in your instance. Each framework delivers a different solution type for training the system to predict, recommend, and organize data outcomes.
    • Classification framework
    • Similarity framework
    • Clustering framework

    Spoke requirements

    • A sharedservice.worker user to train solutions.
    • A pre-trained Predictive Intelligence solution.

    Spoke dependencies

    If you’re having trouble installing the app, ensure that these dependent plugins are installed:
    • Predictive Intelligence (com.glide.platform_ml) plugin
    • Predictive Intelligence Reporting (com.glide.platform_ml_pa) plugin
    Note:
    Some plugins may be licensable features and require appropriate licenses, if used outside the spoke implementation.

    Spoke actions

    Predictive Intelligence for Flow Designer (com.snc.ml_flowdesigner) provides actions to make predictions using existing models without having to write or maintain script. Available actions include:

    Action Description
    Classification Batch Prediction Obtain a predicted value from an active classification solution definition using multiple input records.
    Classification Prediction Obtain a predicted value from an active classification solution definition using a single input record.
    PI Confidence Check Compare an output value (number) from Predictive intelligence with a number specified by the user. For example: Compare the confidence value of a prediction with a specified value.
    Regression Batch Prediction Obtain a predicted value from an active regression solution definition using multiple input records.
    Note:
    The regression framework is deprecated in the Yokohama release. You can continue to use existing regression solutions but you can't create new ones.
    Regression Prediction Obtain a predicted value from an active regression solution definition using a single input record.
    Note:
    The regression framework is deprecated in the Yokohama release. You can continue to use existing regression solutions but you can't create new ones.
    Similarity Prediction Obtain similar records that exist in the table specified by the user in their similarity solution definition.

    Spoke user roles

    Predictive Intelligence for Flow Designer provides these user roles to control access to data:
    User role Description
    ml_admin Grants access to all Predictive Intelligence features