After configuring and testing your workflow actions, you can execute them directly from the workflow overview.
Running workflow actions starts the AI processing pipeline for all products matching the configured trigger rules.
Depending on the workflow setup, actions may run:
manually
continuously
sequentially
with moderation steps between actions
Before running a workflow action
Before starting a workflow action, it is strongly recommended to:
validate trigger rules
test prompts on sample products
review generated outputs
inspect confidence scores
confirm moderation settings
This helps prevent large scale processing errors.
How to run a workflow action
To run an action:
Open the workflow overview
Open the workflow
Locate the action card
Click the action
Click Run action
The workflow will then begin processing matching products.
How workflow execution works
When an action starts:
matching products are identified
execution tasks are created
products are processed individually
moderation states are applied if enabled
results become available inside the Results tab
Actions process products sequentially through the workflow pipeline.
Sequential workflow execution
Actions execute in order from left to right.
Example:
Attribute Extraction
Content Enrichment
Translation
In this workflow:
attributes are extracted first
generated attributes become available for enrichment
enriched content becomes available for translation
Each action builds on the previous action’s output.
Running one-time workflows
One-time workflows process all currently matching products once.
Example:
all products missing descriptions
all products from a specific supplier
all products in a selected category
After execution completes, the workflow stops automatically unless manually restarted.
Running continuous workflows
Continuous workflows continuously monitor the catalog.
Whenever new products match the trigger rules:
the workflow starts automatically
actions execute automatically
products move through the workflow pipeline without manual intervention
This creates ongoing automation pipelines.
Monitoring execution progress
While actions are running, the workflow overview displays:
execution progress
running tasks
completed tasks
pending moderation
synchronization states
failed executions
This helps teams track workflow activity in real time.
Understanding execution statuses
Workflow actions may display statuses such as:
Waiting
Running
Awaiting moderation
Synced
Completed
Error
Statuses help identify where products currently are inside the workflow pipeline.
Results tab
Each action contains a Results tab showing:
processed products
generated outputs
synchronization status
moderation state
completed tasks
failed tasks
The Results tab provides detailed visibility into workflow execution.
Moderation during execution
Depending on the action configuration:
generated output may require approval
editors may review content
moderators may approve synchronization
Products can pause temporarily in moderation queues before continuing through the workflow.
AI reasoning and confidence scores
Certain actions display:
AI reasoning
confidence scoring
Reasoning explains why the AI generated specific output.
Confidence scores help identify:
reliable outputs
uncertain generations
products requiring manual review
This improves quality control during execution.
Synchronization behavior
Approved outputs can synchronize automatically back into your connected platform.
Examples:
Magento
webshop catalogs
marketplace feeds
Depending on workflow settings:
synchronization may happen automatically
synchronization may require moderation approval first
Running large workflows
Large workflows may take time depending on:
number of products
AI provider limits
workflow complexity
moderation requirements
selected AI model
Products are often processed individually to maintain stability and avoid provider rate limits.
Pausing running workflows
Workflows can be paused during execution.
Pausing is useful when:
prompts require adjustment
output quality needs review
moderation queues become too large
unexpected results appear
Paused workflows can later be resumed.
Common execution strategies
Batch execution
Useful for:
initial enrichment
migration projects
supplier onboarding
large cleanup operations
Typically uses one-time workflows.
Continuous automation
Useful for:
ongoing catalog enrichment
automatic translations
recurring quality validation
continuous synchronization pipelines
Typically uses continuous workflows.
Best practices for running workflows
Start with small product groups
Before processing large catalogs:
test on limited product sets
validate outputs carefully
inspect reasoning and scores
This reduces large scale workflow issues.
Monitor moderation queues
Large executions can generate many moderation tasks.
Regular moderation review helps:
maintain synchronization speed
improve workflow throughput
prevent operational bottlenecks
Separate workflows by objective
Focused workflows are easier to execute and troubleshoot.
Good examples:
SEO enrichment workflow
translation workflow
attribute extraction workflow
Avoid overly large multi-purpose workflows when possible.
Monitor failed executions
Failed tasks may occur because of:
incomplete source data
invalid prompts
synchronization issues
provider limitations
Regularly review failed results to improve workflow quality.
Example workflow execution
Example:
A webshop imports 500 new pet food products.
Workflow:
Trigger selects products in Dry Cat Food category
Attribute Extraction fills:
Flavor
Lifecycle
Content Enrichment generates:
Shopping titles
Shopping descriptions
Translation converts content to German
Moderation reviews generated output
Approved content synchronizes to Magento
The workflow overview allows the team to:
monitor execution progress
review moderation queues
inspect generated content
track synchronization states
from one centralized location.