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

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    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Governance, Risk, and Compliance

ft:clusterId :

    - grc

bundleId :

    - grc

workflow :

    - Technology


---

# Issue recommendation skill

# TPRM issue recommendation skill {#ariaid-title1}

* Release version: Australia
* 
* Updated August 11, 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

The issue recommendation skill in ServiceNow Otto for Third-party Risk Management (TPRM) uses generative AI to suggest potential issues based on historical assessment data, helping assessors and reviewers identify relevant risks more efficiently while retaining control over which issues
are created.

## Overview of issue recommendations {#issue-recommendation-tprm__section_overview_recommendation_tprm}

Third-party assessment reviewers \[sn_vdr_risk_asmt.vendor_assessment_reviewer\] can use TPRM issue recommendations review completed third-party assessments after questionnaire responses are submitted. The TPRM issue recommendation skill analyzes historical issues created from all assessments, along with historical Smart Assessment and Classic assessment questions and responses, to generate suggested issues when semantically similar questions exist and the intended meaning of the answers is consistent.  
Note:  
The skill can identify a question-and-answer pair as a potential issue only if a similar question-and-answer pair was previously flagged as an issue in the historical data.

For more information, see [Generate issue recommendations for TPRM](https://servicenow-prod.fluidtopics.net/0zVxG4pdUw59isx854ZUSw "Use generative AI to identify and recommend potential Third-party Risk Management issues based on assessment responses. The TPRM issue recommendation skill presents recommended issues with rationalized summaries for reviewer confirmation.") and [Create or dismiss issues using recommendations](https://servicenow-prod.fluidtopics.net/045LlDexzZr9udZOEIRIRA "Accept recommendations to create issues based on historical assessment data, or dismiss recommendations that aren’t relevant. Accepting or dismissing issue recommendations helps reviewers efficiently act on AI‑predicted findings while retaining control over which issues are created.").

## Benefits of issue recommendations {#issue-recommendation-tprm__section_benefits_recommendation_tprm}

* Generates potential issues based on intention from historical questions and answers.
* Helps reviewers focus on relevant risks without reanalyzing every assessment response from scratch.
* Supports consistent issue identification across all assessments while preserving human judgment.
{#issue-recommendation-tprm__ul_benefits_recommendation_tprm}

## Components of an issue recommendation {#issue-recommendation-tprm__section_components_recommendation_tprm}

When issue recommendations are generated, each recommendation includes contextual information to help reviewers evaluate its relevance:  
* Issue name and description
* Related smart assessment question
* Assessment type used as reference data
* Priority derived from historical issue data
* Historical issues used to generate the recommendation
{#issue-recommendation-tprm__ul_components_recommendation_tprm}  
The following table describes the key elements associated with an issue recommendation: {#issue-recommendation-tprm__table_components_recommendation_tprm__entry__2}

| Element | Description |
|-|-|
| Issue description | Summary of the recommended issue generated from historical assessment findings. |
| Smart assessment question instance | Assessment question associated with the recommended issue. |
| Types | Source of the historical data. By default, it is from the previous assessments. |
| Historical issues | Previously created issues that were used as reference data to generate the recommendation. |
| Priority | Priority of the historical issue. |
[ ]

{#issue-recommendation-tprm__table_components_recommendation_tprm}  
Note:  
Issue recommendations can be generated only from Smart Assessment Engine questionnaires. They are generated based on historical assessment data from classic and smart assessments and configured recommendation logic. Reviewers must evaluate and confirm each recommendation before creating an issue.

The accuracy of issue recommendations depends on the quality and configuration of Smart Assessment Engine templates, including supported question types and historical
issue data.
**Related concepts**   

* [TPRM issue recommendation skill](https://servicenow-prod.fluidtopics.net/moyEz46Krw05JcAzdkc3Jg "The issue recommendation skill in ServiceNow Otto for Third-party Risk Management (TPRM) uses generative AI to suggest potential issues based on historical assessment data, helping assessors and reviewers identify relevant risks more efficiently while retaining control over which issues are created.")  
**Related tasks**   

* [Create or dismiss issues using recommendations](https://servicenow-prod.fluidtopics.net/045LlDexzZr9udZOEIRIRA "Accept recommendations to create issues based on historical assessment data, or dismiss recommendations that aren’t relevant. Accepting or dismissing issue recommendations helps reviewers efficiently act on AI‑predicted findings while retaining control over which issues are created.")
* [Activate TPRM issue recommendation skill](https://servicenow-prod.fluidtopics.net/Ou7ph~3IbQEY4cQ9QfOaFQ "Activate the TPRM issue recommendation skill from ServiceNow Otto for TPRM to generate recommendations for TPRM issues.")