---
sourceDocument: Australia Workflow Data Fabric
sourceDocumentLink: https://www.servicenow.com/docs/r/australia/integrate-applications

 Release :

    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Workflow Data Fabric

ft:clusterId :

    - crint

bundleId :

    - crint

workflow :

    - Creator


---

# Metadata enrichment with ServiceNow Otto

# Metadata enrichment with ServiceNow Otto {#ariaid-title1}

Release version: Australia  
Updated September 17, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
ServiceNow Otto can generate AI-suggested metadata for a batch of Data Catalog assets for a data steward to review and publish.

Data Catalog assets accumulate incomplete or missing metadata over time ---domains, tags, and glossary-term associations--- especially as new sources are onboarded through metadata collectors. Filling this in one
asset at a time is not practical. ServiceNow Otto can generate suggested metadata for many assets at once, as a tracked, asynchronous job. Nothing changes in the catalog until a data steward reviews the suggestions and chooses to publish
them.{#ai-metadata-enrichment-overview-dc__ai-metadata-enrichment-overview-dc-para-1}

## Entry points {#ai-metadata-enrichment-overview-dc__ai-metadata-enrichment-overview-dc-entry-points}

Start a bulk enrichment job two ways --- from ServiceNow Otto, using the assistant icon available in the Workflow Data Fabric header, or directly from the Data Catalog page. Both entry points create the same kind of job and route to the same review workspace. For step-by-step instructions, see [Bulk-enrich assets with ServiceNow Otto](https://www.servicenow.com/docs/rpOL4tLYRSgmiw3LY6BJZg "Ask ServiceNow Otto to bulk-enrich a batch of Data Catalog assets from anywhere in Workflow Data Fabric.") and [Bulk-enrich assets from the Data Catalog](https://www.servicenow.com/docs/xwytZL2IWrn_UxqVf5iwqA "Select specific assets directly from the Data Catalog page and submit them for bulk enrichment by AI agents.").{#ai-metadata-enrichment-overview-dc__ai-metadata-enrichment-overview-dc-para-2}

## How it works {#ai-metadata-enrichment-overview-dc__ai-metadata-enrichment-overview-dc-how-it-works}

Enrichment jobs run asynchronously, in the background, and can take from a few minutes to a few hours depending on the number of assets and fields included. You're notified by email when the job finishes.{#ai-metadata-enrichment-overview-dc__ai-metadata-enrichment-overview-dc-para-3}

Every suggestion includes an AI confidence score and stays in a pending state. Submitting a job doesn't enrich assets immediately --- a suggestion has no effect on the actual
asset until a data steward reviews and either publishes or rejects it. For a list of job statuses and their meanings, see [Data assets enrichment statuses and AI confidence scores](https://www.servicenow.com/docs/GN4VFIhaSmDpnxkbiaSXKA "Enrichment statuses track the state of AI-generated suggestions at the field, asset, and enrichment run levels. Each suggestion also carries a confidence score that reflects how certain ServiceNow Otto is about that suggestion."). {#ai-metadata-enrichment-overview-dc__ai-metadata-enrichment-overview-dc-para-4}

## Metadata Enrichment workspace {#ai-metadata-enrichment-overview-dc__ai-metadata-enrichment-overview-dc-workspace}

The Metadata Enrichment workspace gives a consolidated view of all enrichment activity across jobs. Use it to track the overall enrichment program rather than a single job.{#ai-metadata-enrichment-overview-dc__ai-metadata-enrichment-overview-dc-para-6}  
The workspace includes:

* A dashboard summary showing the number of jobs completed, in progress, and failed
* Asset enrichment status and metadata field enrichment status charts, showing counts across all jobs
* An enrichment jobs list with job status, asset counts, and duration for each job
* An enrichment assets and fields list, grouped by job, where you can select a job ID, asset ID, or field ID to review enrichments at the level of detail you need

## Prerequisites {#ai-metadata-enrichment-overview-dc__ai-metadata-enrichment-overview-dc-prerequisites}

This capability requires ServiceNow Otto to be configured and Data Catalog to be installed.{#ai-metadata-enrichment-overview-dc__ai-metadata-enrichment-overview-dc-para-5}
For more information, see [Metadata enrichment prerequisites](https://www.servicenow.com/docs/DKmznOi2wQu5L~SKXgjGsg "Before running AI enrichment jobs, confirm that the required applications are installed, email notifications are configured, and the correct roles are assigned.").