Monitor an enrichment job

task australia Updated Sep 17, 2026 2 min read monitor-enrichment-job-dc.md

Open a submitted enrichment job to see its progress and how many suggestions are pending review, published to catalog, or rejected.

About this task

The Metadata Enrichment workspace provides a consolidated view of all enrichment activity. It includes a dashboard summary of jobs completed, in progress, and failed, along with enrichment status charts and a cross-job list of assets and fields. From the workspace, select a job ID to open and monitor a specific job.

[Omitted image "dc-bulk-enrich-ai-workspace.png"] Alt text: Metadata Enrichment workspace showing dashboard summary, enrichment status charts, and enrichment jobs list

Before you begin

A bulk enrichment job has already been submitted from either ServiceNow Otto or Data Catalog. See Bulk-enrich assets with ServiceNow Otto or Bulk-enrich assets from the Data Catalog.

Role required: df_data_steward, now_assist_panel_user, and wdf_operator

Procedure

Open the monitor job progress link returned when the job was created.
From the enrichment job page, review the job details and suggestion counts.

The page shows:
- Job details: The number of assets included, when the job started and finished, and how long it took
- Suggestion counts by status: The number of assets processed and how many suggestions are pending, published, or rejected
- Asset and field list: Each asset included in the job and the fields that were enriched For a description of each status, see Data assets enrichment statuses and AI confidence scores.
Select a job to open its detailed view.[Omitted image "dc-bulk-enrich-ai-view-job-01.png"] Alt text: Enrichment job page showing job details and suggestion counts

Result

The job's detail view opens, listing every processed asset and field. To act on the suggestions, see Review and publish suggested metadata.

If you don't receive an email notification when a job finishes, verify that email notifications are configured correctly for your instance. Contact your administrator to confirm that outbound email is enabled and that your user profile includes a valid email address. For configuration details, see Metadata enrichment prerequisites.

Parent Topic:Enriching data assets with AI

Keywords enrichment jobmonitorData CatalogAI metadata

54 lines · 3.7 KB Wrap lines

---
title: Monitor an enrichment job
description: Open a submitted enrichment job to see its progress and how many suggestions are pending review, published to catalog, or rejected.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/australia/integrate-applications/monitor-enrichment-job-dc.html
release: australia
topic_type: task
last_updated: "2026-09-17"
reading_time_minutes: 2
keywords: [enrichment job, monitor, Data Catalog, AI metadata]
breadcrumb: [Enriching data assets with AI, Metadata enrichment with ServiceNow Otto, Data Catalog, Workflow Data Fabric]
---

# Monitor an enrichment job

Open a submitted enrichment job to see its progress and how many suggestions are pending review, published to catalog, or rejected.

## About this task

The Metadata Enrichment workspace provides a consolidated view of all enrichment activity. It includes a dashboard summary of jobs completed, in progress, and failed, along with enrichment status charts and a cross-job list of assets and fields. From the workspace, select a job ID to open and monitor a specific job.

\[Omitted image "dc-bulk-enrich-ai-workspace.png"\] Alt text: Metadata Enrichment workspace showing dashboard summary, enrichment status charts, and enrichment jobs list

## Before you begin

A bulk enrichment job has already been submitted from either ServiceNow Otto or Data Catalog. See [Bulk-enrich assets with ServiceNow Otto](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/integrate-applications/bulk-enrich-assets-otto-dc.md) or [Bulk-enrich assets from the Data Catalog](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/integrate-applications/bulk-enrich-assets-data-catalog-dc.md).

Role required: df\_data\_steward, now\_assist\_panel\_user, and wdf\_operator

## Procedure

1.  Open the monitor job progress link returned when the job was created.

2.  From the enrichment job page, review the job details and suggestion counts.

    The page shows:

    -   Job details: The number of assets included, when the job started and finished, and how long it took
    -   Suggestion counts by status: The number of assets processed and how many suggestions are pending, published, or rejected
    -   Asset and field list: Each asset included in the job and the fields that were enriched
    For a description of each status, see [Data assets enrichment statuses and AI confidence scores](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/integrate-applications/enrichment-job-statuses-dc.md).

3.  Select a job to open its detailed view.\[Omitted image "dc-bulk-enrich-ai-view-job-01.png"\] Alt text: Enrichment job page showing job details and suggestion counts


## Result

The job's detail view opens, listing every processed asset and field. To act on the suggestions, see [Review and publish suggested metadata](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/integrate-applications/review-publish-ai-metadata-dc.md).

If you don't receive an email notification when a job finishes, verify that email notifications are configured correctly for your instance. Contact your administrator to confirm that outbound email is enabled and that your user profile includes a valid email address. For configuration details, see [Metadata enrichment prerequisites](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/integrate-applications/ai-enrichment-prerequisites-dc.md).

**Parent Topic:**[Enriching data assets with AI](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/integrate-applications/enrich-data-assets-ai-dc.md)