---
sourceDocument: Australia Enable AI
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/pt-BR/intelligent-experiences

 Release :

    - australia

ft:locale :

    - pt-BR

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Issue Auto Resolution Tuning in NLU

# Issue Auto Resolution Tuning in NLU {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 min. de leitura

Use the NLU Workbench homepage to support Issue Auto Resolution (IAR) tuning in
NLU.

## Summary usage and roles {#issue-auto-resolution-tuning-nlu__section_up3_2tj_fyb}

Use the nlu_admin or admin role to access IAR Tuning in the NLU Workbench. IAR Tuning in the
NLU Workbench requires at least the nlu_feedback_admin role. Note that the nlu_admin role contains the nlu_feedback_admin role. Also, the
virtual_agent_admin role contains the nlu_admin role.

If you click on the IAR model name, you will be
taken straight to tuning, in the product. You will not be taken to a model overview page, so
this behavior differs from Virtual Agent or AI Search
models in the NLU Workbench.

## The IAR Tuning workflow {#issue-auto-resolution-tuning-nlu__section_qjf_hsj_fyb}

IAR admins begin their model tuning journey in the IAR Admin Console, and then land in the NLU Workbench to tune their ITSM model. If they haven't trained the ITSM model in the console yet, the workflow sends them to the Expert
Feedback Loop documentation under the Boost your model performance section of the NLU Workbench.

## How IAR models differ from NLU models {#issue-auto-resolution-tuning-nlu__section_fvz_nvr_fyb}

Unlike the Virtual Agent and AI Search tabs, the IAR tab doesn't use a Create new model
button. The IAR-ITSM model that IAR admins use is a prebuilt model. IAR models can't be moved
using update sets.

## Exploring the NLU Workbench {#issue-auto-resolution-tuning-nlu__section_oh4_gv5_gyb}

At the top of the NLU Workbench page are three tabs that group Virtual Agent, Issue Auto Resolution, and AI Search models separately. Below those tabs are a list of models colored grey. In the Model column of the list, if you click
the caret to the left of the model name, the model changes color from grey to white and opens to show the model's languages; status; usage; model type; number of enabled intents and mapped intents and the date when the model was last
modified or last published.
* **[Issue Auto Resolution tuning options](https://servicenow-prod.fluidtopics.net/Xss~xJq~8LcjV5wmclwLOA)**   
  When you are tuning your Issue Auto Resolution model in NLU Workbench, you can adjust the output for several goals: precision, automation, or a balance of the two. Compare how your choice of tuning options affect match rate and coverage, before committing.