---
sourceDocument: Yokohama Build workflows
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/build-workflows

 Release :

    - yokohama

ft:locale :

    - en-US

ft:publication_title :

    - Yokohama Build workflows

ft:clusterId :

    - crworkflow

bundleId :

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workflow :

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---

# Machine Learning solutions for Flow Designer

# Machine Learning solutions for Flow Designer {#ariaid-title1}

Release version: Yokohama  
Updated January 20, 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 Machine Learning solutions for Flow Designer

Machine Learning solutions for Flow Designer, available in the Yokohama release, enable ServiceNow customers to deploy and integrate Predictive Intelligence models directly within their Flow Designer workflows.
This capability allows you to enhance automation by incorporating machine learning predictions without writing custom scripts.
The spoke requires the Predictive Intelligence plugin to function.
Show full answer Show less  

## Key Features

* **Three Machine Learning Frameworks:**
  * **Classification framework:** Predict outcomes by categorizing data.
  * **Similarity framework:** Find records similar to the input data.
  * **Clustering framework:** Organize data into meaningful groups.
* **Spoke Actions for Predictions:** Actions provide easy-to-use interfaces in Flow Designer to obtain predictions using existing models:
  * Classification Batch and Single Record Prediction
  * Similarity Prediction to locate similar records
  * Regression Prediction (deprecated in Yokohama; existing solutions supported but no new creation)
  * Confidence Checks to compare prediction confidence against user-defined thresholds

## Requirements and Dependencies

* A **sharedservice.worker** user is required to train machine learning solutions.
* Pre-trained Predictive Intelligence solutions must be available to use the spoke actions.
* Ensure the following plugins are installed for proper functionality:
  * Predictive Intelligence (com.glide.platformml)
  * Predictive Intelligence Reporting (com.glide.platformmlpa)
* Note that some plugins may require appropriate licenses depending on usage.

## User Roles

Access to Predictive Intelligence features within Flow Designer is controlled via user roles:

* **mladmin:** Grants full access to all Predictive Intelligence capabilities.

## Practical Benefits

By integrating machine learning models into Flow Designer, ServiceNow customers can automate predictive tasks such as classification, similarity detection, and clustering within their workflows. This facilitates smarter decision-making, reduces manual effort, and streamlines processes with minimal scripting effort required.  
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 {#predictive-intelligence-spoke__section_tcw_w1v_r4b}

This spoke requires Predictive Intelligence (com.glide.platform_ml). For more information, see [Install Predictive Intelligence](https://www.servicenow.com/docs/access?context=install-predictive-intelligence&version=yokohama&pubname=yokohama-intelligent-experiences&ft:locale=en-US).

## Key features {#predictive-intelligence-spoke__section_vcw_w1v_r4b}

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
{#predictive-intelligence-spoke__ul_wcw_w1v_r4b}

## Spoke requirements {#predictive-intelligence-spoke__section_xcw_w1v_r4b}

* A sharedservice.worker user to train solutions.
* A pre-trained Predictive Intelligence solution.
{#predictive-intelligence-spoke__ul_ycw_w1v_r4b}

## Spoke dependencies {#predictive-intelligence-spoke__section_zcw_w1v_r4b}

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
{#predictive-intelligence-spoke__ul_adw_w1v_r4b}  
Note:  
Some plugins may be licensable features and require appropriate licenses, if used outside the spoke implementation.

## Spoke actions {#predictive-intelligence-spoke__section_fdw_w1v_r4b}

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:  
{#predictive-intelligence-spoke__table_gdw_w1v_r4b__entry__2}

| 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. |
[ ]

{#predictive-intelligence-spoke__table_gdw_w1v_r4b}

## Spoke user roles {#predictive-intelligence-spoke__section_kdw_w1v_r4b}

Predictive Intelligence for Flow Designer provides these user roles to control access to data:{#predictive-intelligence-spoke__table_ldw_w1v_r4b__entry__2}

| User role | Description |
|-|-|
| ml_admin | Grants access to all Predictive Intelligence features |
[ ]

{#predictive-intelligence-spoke__table_ldw_w1v_r4b}
**Related topics**   

* [Use Predictive Intelligence in Flow Designer with ML actions](https://www.servicenow.com/docs/access?context=use-predictive-intelligence-flow-designer-ml-actions&version=yokohama&pubname=yokohama-intelligent-experiences&ft:locale=en-US)