---
sourceDocument: Yokohama Governance, Risk, and Compliance
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/governance-risk-compliance

 Release :

    - yokohama

ft:locale :

    - en-US

ft:publication_title :

    - Yokohama Governance, Risk, and Compliance

ft:clusterId :

    - grc

bundleId :

    - grc

workflow :

    - Technology


---

# Issue assignment using the Governance, Risk, and Compliance Predictive Intelligence plugin

# Issue assignment using the Governance, Risk, and Compliance
Predictive Intelligence plugin {#ariaid-title1}

* Release version: Yokohama
* 
* Updated January 30, 2025
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

Train a similarity solution model that uses machine learning so that the system can
automatically suggest how to route issues to the correct assignee. Automatic routing suggestion
reduces the time spent on deciding who should own the issue.

The Governance, Risk, and Compliance: Predictive Intelligence plugin utilizes Artificial
Intelligence (AI) and Machine Learning (ML) to make GRC issue management
smarter. On the GRC issue form, users are given suggestions for the
assignment of issues to appropriate candidates. These suggestions are based on the platform
similarity solution model.

Users must train the solution definition after they install the GRC: Predictive Intelligence plugin along with its dependencies. The Platform Machine Learning
Administrator (ml_admin) can also customize the solution definition. This modification is based
on the data in tables. Some of the critical fields, such as the filter condition
Assigned to \[is\] \[not empty\], must not be modified because modification
may impact how the UI shows the prediction results.
* **[Train and use the similarity solution definition for issue assignment prediction](https://servicenow-prod.fluidtopics.net/jkP3LdknO7c7rLvWTmJITA)**   
  Train and use the machine learning solution by activating the Governance, Risk, and Compliance Predictive Intelligence plugin. The solution enables the system to automatically suggest correct assignees to route issues. These suggestions reduce the time spent on deciding who should own the issue.