The AI Assistant has become one of the most widely used features in Struct PIM.
It helps teams generate and translate content faster, removing a significant amount of repetitive work.
But as usage increases, the need to remove friction becomes just as important. Even small manual steps - like triggering or approving AI output - can turn into real bottlenecks when repeated across hundreds or thousands of products.
This enhancement addresses exactly that challenge.
You can now automate AI actions through business rules, turning them into a natural part of how your product data moves and evolves.
Turn AI usage into automated workflows
Text generation and translation can now be triggered automatically. For example:
- When a product is created
- When it enters a specific workflow state
- When specific attributes are filled or updated
Instead of relying on someone to run the AI Assistant manually, it now happens instantly as part of the process.
This shifts AI from being a separate task to something embedded directly into your data workflow.
The same logic is applied every time, across all products, without depending on manual input or timing. No missed steps. No inconsistencies.
Whether you’re working with 10 or 10,000 products, the process remains consistent - and scales without adding complexity or overhead.
For example, product descriptions can be generated the moment a new product is created, ensuring every item starts with a complete and consistent baseline.
Move faster with workflows that run on their own
Up until now, you've been able to use AI Assistant on products either one-by-one or in bulk across many products at a time.
Now, you can also trigger AI Assistant automatically through business rules and as part of workflows.
At the same time control is still defined through your business rules and conditions on one hand, and workflows and workflow states on the other.
With this setup, the AI Assistant becomes part of the engine driving your workflows - not something that slows them down.
Content can be generated the moment a product is created. Translations can be triggered automatically when a product is ready for new markets, without waiting on manual input.
The result is a more reliable and scalable way to manage product data, where workflows don’t just support your work, but actively move it forward.
Conclusion
The AI Assistant already helps teams move faster in their daily work.
With business rules and auto-approval, it becomes fully integrated into your workflows - not an extra step around them.
The actions are triggered automatically, applied immediately, and run without additional steps.
This makes it easier to handle growing volumes while eliminating bottlenecks and maintaining momentum across your product data processes.
Whether used manually or as part of automated workflows, the AI Assistant now gives you a faster, more scalable, and more consistent way to manage and enrich your product data.
