AI Workflows replace the previous Content Enrichment and Translation job system in Elovate.

The new workflow system combines triggers, AI actions, moderation and execution management into a single automation layer.

This creates a more scalable and structured way to manage catalog automation.

Previously, enrichment and translation processes were often handled as separate manual jobs.

A typical process looked like this:

While effective, this required multiple disconnected steps and limited automation possibilities.

AI Workflows unify these processes into a single pipeline.

Old enrichment jobs were mostly manual.

AI Workflows allow you to automatically target products using rules such as:

This allows workflows to process only relevant products automatically.

Previously, enrichment and translation were separate jobs.

With AI Workflows, actions can run sequentially.

Example:

This creates a fully automated enrichment pipeline.

The old system provided limited execution visibility.

AI Workflows introduce:

You can now clearly track:

AI Workflows provide stronger moderation capabilities.

You can:

This improves quality control for AI generated content.

Old enrichment jobs were usually executed manually.

AI Workflows introduce continuous execution capabilities.

Continuous workflows automatically process new matching products over time.

Example:
Whenever a new product without a description is imported, the workflow can automatically:

without manual intervention.

Existing Content Enrichment and Translation jobs are automatically migrated into AI Workflows where possible.

This means:

The migration helps centralize all AI operations inside one system.

AI Workflows transform Elovate from a collection of separate AI tools into a scalable automation platform for catalog operations.

This allows teams to:

The result is a more controlled, scalable and future proof way to manage product data enrichment with AI.