What it finds

Every document. Every detail.

Six kinds of trace that manipulation, fabrication and reuse leave behind. Each finding names what was found, marks it on the page and tells your reviewer what to check next.

Changed amounts

A total, date or name was edited after the document was issued.

ExampleA repair invoice total was raised from $2,160 to $9,160.

Hidden content

Something on the page was covered over so a reader wouldn't see it.

ExampleThe original total sits under a white box, still readable in the file.

Edited files

The file passed through editing software instead of coming straight from the business.

ExampleAn invoice was last saved in a free online PDF editor.

AI-made documents

The document or photo was generated or altered with AI.

ExampleA receipt photo carries the settings of an AI image generator.

Numbers that don't add up

Line items, taxes or balances don't match the printed totals.

ExampleA pay stub's taxes match a salary of $3,120, not the $5,200 it shows.

Repeats across claims

The same document, invoice number, bank account or design turns up on different claims.

ExampleTwo “different” roofing companies use the same invoice design as a confirmed fake.

Examples come from Assaya's sample documents.

Coverage

Every document a claim runs on.

Repair estimates and invoices
Receipts, hotel bills, taxi and ride receipts
Medical bills
Pay stubs
Bank statements
Photos and scans of any of these

Expense receipts get more checks: the card charge, the trip's dates and receipts never printed. Travel and expense

A flagged invoice in Assaya with the changed total highlighted and the reasons listed beside it. — The reasons on the left; the changed total, highlighted on the page.

Proof before payout.

See how Assaya highlights suspicious findings, explains what triggered them and gives reviewers what they need to take the next step. A focused 30-minute walkthrough; no sensitive documents required.

See Assaya in action