Step 2: Deploy and configure a custom model - Step 2: Deploy and configure a custom model - Alfresco - Alfresco Intelligence Services - Alfresco/Alfresco-Intelligence-Services/1.4/Alfresco-Intelligence-Services/Alfresco-Intelligence-Services/Configure/Custom-configuration-Textract/Step-2-Deploy-and-configure-a-custom-model - 1.4

Alfresco Intelligence Services

Platform
Alfresco
Product
Alfresco Intelligence Services
Release
1.4
ft:lastPublication
2026-05-06T19:18:15.398000
ft:locale
en-US
ArchiveStatus
Archived

Use this information to deploy and configure a custom model for Intelligence Services.

Note that the implementation follows the same process for custom recognition or classification model types, but differs slightly for custom metadata extraction.

Before you can use a custom model with Intelligence Services, you'll need to define a new rendition in configuration files for the repository, Alfresco Share, and Alfresco Digital Workspace.

The process requires the configuration of a number of files that must be mounted in the Docker containers:

Configuration file Used by custom model / AWS service
-- ------------------ ----------------------------------
Repository custom-ai-content-model-context.xml Comprehend, Textract
customAIContentModel.xml Comprehend, Textract
custom-ai-renditions-definitions.json Comprehend
customAIPropertyMapping.json Comprehend, Textract
Share share-config-custom.xml Comprehend, Textract
bootstrap-custom-labels.properties Comprehend
share-custom-slingshot-application-context.xml Comprehend, Textract
Digital Workspace ai-view.extension.json Comprehend, Textract

These files are described in more detail in the remainder of this page.