From causality checks to duplicate detection: Discover how the Paperfly AI Inbox and AI Flows cross-reference claim reports, photos, and invoices across multiple sources—building a clear, auditable foundation for every claim decision.
Just because a document has been scanned doesn’t mean the case is closed. If you really want to automate document processes, you can’t stop at text recognition. Here’s a look at how unstructured input is transformed into end-to-end workflows that extend all the way to the core system.
In practice, automation rarely fails because of standard cases, but rather because of how exceptions are handled. Anyone who wants to scale document processes must proactively address uncertainties. Here’s a look at how the interplay between data, human expertise, and AI agents can succeed.
Once the data has been extracted, the value of automation becomes apparent: Only when follow-up processes, additional claims, and customer returns are seamlessly integrated can validated IDP data be transformed into a fully digital and economically efficient business process.
Missing meter readings, incorrect effective dates, and manual system handoffs lead to follow-up questions and exception cases. An end-to-end digital move process validates information at the point of entry, routes standard and exception cases appropriately, and transfers clean data to your systems.