Expense Report Automation
Photograph the receipt, and the report writes itself — with policy checks nobody has to remember.
Expense report automation applies document AI to one of business life's most universally resented chores: employees photograph or forward receipts, extraction reads the merchant, date, amount, currency, tax, and line detail, categorization assigns the expense type, policy rules check compliance automatically, and the assembled report routes for approval — with the human effort reduced to capture and exceptions. The receipts themselves are a compact tour of OCR difficulty: thermal-paper fade, crumples and folds, dense abbreviated line items, every merchant's layout different, and increasingly digital receipts arriving as emails and PDFs alongside the paper.
The intelligence layers stack beyond reading. Categorization models map merchants and line content onto expense taxonomies (the airline charge to travel, the SaaS renewal to software) with corporate-card feed matching closing the loop — receipt matched to card transaction, catching both the missing receipt and the duplicate claim. Policy enforcement turns the expense manual into executing rules: per-diem and category limits, class-of-travel restrictions, required attendee lists for entertainment, receipt thresholds — checked at submission, when the fix is a prompt ("this meal exceeds the limit; add justification"), rather than at audit, when it's a clawback. Fraud and misuse detection reads the patterns: the receipt submitted twice across months, the suspiciously round amounts, the merchant category that doesn't match the description.
The measurable outcomes are familiar automation economics — minutes per report instead of an hour, finance review concentrated on flagged exceptions, faster reimbursement — plus the compliance dividend: policy applied uniformly (no more approval depending on who's approving), a complete audit trail per line item, and spend data that lands in analytics categorized and current rather than quarter-late. It is document AI at consumer-grade stakes and consumer-grade expectations: the system must be effortless, because its users are everyone.
Thermal paper, cramped abbreviations, and a fading print job — the small document that punches above its difficulty.
The invoice arrives, gets read, matched, approved, and paid — while the AP team handles the exceptions, not the typing.
The form fills itself; the human confirms — flipping data entry from typing to checking.
Proof Perimeter runs document AI inside your own perimeter — with a provenance record on every field.
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