Machine Learning solutions for Flow Designer
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 .
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 Brazil 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 Brazil 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. |
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 |
Parent Topic:Spokes
Related topics
[bundle-platai.use-predictive-intelligence-flow-designer-ml-actions]
--- title: Machine Learning solutions for Flow Designer description: 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. locale: en-US canonical_url: https://www.servicenow.com/docs/r/australia/build-workflows/workflow-studio/predictive-intelligence-spoke.html release: australia product: Workflow Studio classification: workflow-studio topic_type: concept last_updated: "2026-09-10" reading_time_minutes: 2 breadcrumb: [Spokes, Flow integrations, Flows, subflows, and actions reference, Flows, subflows, and actions, Workflow Studio, Build workflows] --- # Machine Learning solutions for Flow Designer 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 . ## 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: <table id="table_gdw_w1v_r4b"><thead><tr><th> Action </th><th> Description </th></tr></thead><tbody><tr><td> Classification Batch Prediction </td><td> Obtain a predicted value from an active classification solution definition using multiple input records. </td></tr><tr><td> Classification Prediction </td><td> Obtain a predicted value from an active classification solution definition using a single input record. </td></tr><tr><td> PI Confidence Check </td><td> 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. </td></tr><tr><td> Regression Batch Prediction </td><td> Obtain a predicted value from an active regression solution definition using multiple input records.**Note:** The regression framework is deprecated in the Brazil release. You can continue to use existing regression solutions but you can't create new ones. </td></tr><tr><td> Regression Prediction </td><td> Obtain a predicted value from an active regression solution definition using a single input record.**Note:** The regression framework is deprecated in the Brazil release. You can continue to use existing regression solutions but you can't create new ones. </td></tr><tr><td> Similarity Prediction </td><td> Obtain similar records that exist in the table specified by the user in their similarity solution definition. </td></tr></tbody> </table>## 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| **Parent Topic:**[Spokes](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/build-workflows/workflow-studio/spokes.md) **Related topics** [bundle-platai.use-predictive-intelligence-flow-designer-ml-actions]
| title | Machine Learning solutions for Flow Designer |
| description | 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. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/australia/build-workflows/workflow-studio/predictive-intelligence-spoke.html |
| release | australia |
| product | Workflow Studio |
| classification | workflow-studio |
| topic_type | concept |
| last_updated | 2026-09-10 |
| reading_time_minutes | 2 |
| breadcrumb | SpokesFlow integrationsFlowssubflowsand actions referenceFlowssubflowsand actionsWorkflow StudioBuild workflows |