---
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


---

# Integrate with CSM

# Integrate with Customer Service Management {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 min. de leitura

Document Intelligence provides document extraction capabilities to Customer Service Management (CSM). Extract relevant information from email and case attachments, such as
credit card numbers or customer addresses, and add that information to cases.  
Importante:  
Starting with the Zurich release, Document Intelligence is being prepared for future deprecation. It will be hidden and no longer activated on new instances but will continue to be supported. For details, see the Deprecation Process article \[[KB0867184](https://support.servicenow.com/kb?id=kb_article_view&sysparm_article=KB0867184)\] in the Now Support Knowledge Base. Instead, you can extract information from documents using the Now Assist in Document Intelligence application. For more information, see [Now Assist in Document Intelligence](https://servicenow-prod.fluidtopics.net/Dq_6c8JJ_cu9yJcvDkosRA "Use ServiceNow Now Assist in Document Intelligence to analyze and extract information from unstructured documents with generative AI.With ServiceNow Now Assist in Document Intelligence, you can use generative AI to get key information from digital documents into your automation workflows.").

Agents can review values for extracted fields and make corrections as needed by accessing the Document Intelligence interface directly from the case. From this interface, agents can confirm correct values, fix incorrect values, and continue to train the model. This Human In the Loop (HITL) interaction of verifying the
recommended values enables agents to refine the model and continually improve performance.

Create use cases that identify the information to extract from attachments, such as invoices, and automatically add that information to case fields, depending on the configuration. Labels identify the extracted fields on the case
form.

For more information, see [Document Intelligence for CSM](https://www.servicenow.com/docs/access?context=csm-document-intelligence&version=australia&pubname=australia-customer-service-management&ft:locale=en-US).

## How Document Intelligence works with CSM {#integrate-docintel-csm__section_qmg_2yy_h5b}

When a case is created, the Document Intelligence for CSM feature checks to see:

* If the case has one or more attachments
* If the attachment types are specified in the sn_csm_ml_task.case.docintel.parsing_supported_types system property  
If the case meets those requirements, the feature:

* Identifies the right use case to use based on the case or case type and the use case filters.
* Creates a task using the use case, the sys_id of each attachment, and the case reference.
* Sends the task, attachment sys_ids, and case reference as inputs to the prediction model.
* Uses optical character recognition (OCR) solutions to extract data from the documents.
* Sets the status of the task to Done after the solution has completed.
* If the extraction mode in the use case is set to Fully automated (straight through processing), the extracted field values are added to the case.
* If the extraction mode is set to Auto-fill or Recommendation, the agent can validate the field values in the Document Intelligence interface.
{#integrate-docintel-csm__ul_xtm_nyy_h5b}

## Enable Document Intelligence for CSM {#integrate-docintel-csm__section_pfv_rxy_h5b}

Set the system properties and activate the required flows to enable Document Intelligence
for CSM.

See [Document Intelligence for Customer Service](https://www.servicenow.com/docs/access?context=csm-document-intelligence&version=australia&pubname=australia-customer-service-management&ft:locale=en-US).