AI Doc Center vs AI Skills

Question

My use case is that I want to be classify documents into one of several categories, then depending on the category, extract certain fields from it. My question is for this kind of use case, what exactly is the difference between using AI Skills to do this versus using AI Doc Center? Looking around, I see some people saying AI Doc Center uses more tokens and that it can handle more complex cases, but I can't see anything in documentation about if that's actually true or not, and anything about when you'd want to use one or the other. I've been in loops reading the same page over and over again, so at this point I might have missed something, but if someone's able to help point me towards an answer, that would be most appreciated!

ujjwalr0002 · Accepted Answer

From what I've learned so far, if your requirement is simply to classify documents and then route the process based on the classification, AI Skills would likely be the better approach. It gives you the flexibility to classify the document and drive the workflow accordingly. 
 If your use case goes beyond classification&mdash;for example, extracting different fields from multiple document types, handling confidence scores, review workflows, or managing document extraction models&mdash;then AI Document Center is probably the better fit since it's designed specifically for intelligent document processing. 
 Regarding token usage, I've seen community members mention that AI Skills may consume fewer tokens for simpler scenarios, but I haven't found any official Appian documentation that confirms this.

Shubham Aware · Answer

AI Skills are the runtime objects. You build them directly pick classification or extraction, train or prompt them, and call them from a process via smart services like Classify Document and Extract from Document. Doc Center is not a separate engine. It's an application that generates and maintains those same AI skill objects and their process models for you, then layers on versioning, reconciliation, accuracy metrics, token monitoring, and deployment. Both end up as AI skill objects at runtime. The choice is whether you build and manage the AI skill yourself, or let Doc Center generate it and give you versioning and accuracy metrics. Doc Center's models are gen-AI backed (tokens, better on varied layouts); an AI skill you build directly can be trained ML: no tokens, but needs consistent layouts and retraining.

Shubham Aware · Answer

Use MyAppian -> Adoption -> AI Usage Metrics usage to see AI Action consumption by feature across environments. Also from 26.6 in logs also :- https://docs.appian.com/suite/help/26.6/Logging.html#ai-usage-logs

Shubham Aware · Answer

Structured doc extraction is ML based so it does not consume tokens, it is metered in AI Actions instead ( https://docs.appian.com/suite/help/26.5/estimate-token-usage.html ).

AI Doc Center vs AI Skills

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