A general document AI will happily label a blurry photo as an invoice, a contract, or a passport. A CA firm does not need a taxonomy of the world. It needs to know whether this file is the July purchase register that is still red on the board.
Fyliio gives the AI only the items still outstanding. Its answer must name one of those items or say it cannot tell, and the format of every answer is validated. When the AI is not confident, a stronger model looks again; if that is still unsure, a person on your team decides.
That is also a security control. Prompt injection in a PDF cannot invent a new document type that auto-completes the cycle. If the AI fails, the file goes to review. It never ticks anything off.
Cost follows the same rule. Images are downscaled and PDFs sliced before inference. A file the client already sent is recognised as a duplicate. The design point is tens of documents per client per month, not a generic OCR factory.
Staff stay in the loop for the messy exceptions. The product promise is not “no humans”. It is that humans spend time on exceptions instead of opening every IMG_2847.jpg.
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