setupaiagents.com
Finance

AI that checks invoices & documents

AP team reviews the 5% of invoices that actually need attention. AI handles the other 95%: duplicates, policy checks, and QBO entry.

Input
New file in /Finance/Invoices on Drive
Does
Extract line items, compare to policy + prior invoices, flag anomalies
Output
Exception list in Sheets, clean entries pushed to QBO

Why build this now

Accounts payable teams spend most of their time on the 95% of invoices that are fine. This AI inverts the workflow: humans only see the exceptions.

What the build includes

  • Watcher on a chosen Drive / Box / SharePoint folder
  • OCR + line-item extraction (handles PDF natively)
  • Policy document as a system prompt (expense caps, approved vendors, GL mapping)
  • Duplicate detection against last 90 days of invoices
  • Exception queue in Sheets with 1-click approve/reject
  • Clean entries pushed to QuickBooks Online or Xero via their REST APIs
Google DriveGoogle SheetsQuickBooks

Common gotchas we handle

Scanned PDFs with handwriting

OCR is weaker on handwritten receipts. We add a 'confidence score' per extraction and route low-confidence items to human review by default.

Vendor name variations

'Acme Corp' vs 'Acme Corporation, Inc.' vs 'ACME CORP', all the same vendor. We build a vendor normalization table and update it as new aliases appear.

Fraud edge cases

An agent that rubber-stamps invoices is a fraud surface. Hard rules: >$X auto-routes to human, new vendors require human approval on first invoice, amount changes vs prior same-vendor invoice flag if >20%.

Sample prompt

A redacted version of the prompt skeleton we build around. Your build is tuned to your data.

You are an AP analyst at {companyName}. Extract line items from this invoice: {invoicePdf}. Policy document: {policy}. Prior same-vendor invoices: {priorInvoices}. Check: (1) vendor approved, (2) amounts within cap, (3) no duplicates in last 90d, (4) GL code correct. Return JSON with fields extracted, exceptions flagged with reasons.
Pricing
Priced on brief. A retainer for monthly rule updates and vendor normalization is recommended, by arrangement.
Timeline
Week 1: connector + extraction. Week 2: policy tuning on 30 days of historical invoices. Week 3: live.

Questions

Want a AI that checks invoices & documents for your team?

20-min intro call. We'll tell you if this specific agent is a fit for your stack.

Other agents we build