We automated invoice processing for Brightlane Software. Around 4,800 vendor invoices a year, hands-free.

An email watcher polls the finance inboxes (Gmail, Outlook, or both) every 15 minutes and queues every new email with attachments. An LLM classifies each attachment as invoice, receipt, statement, or noise. Only invoices and receipts move forward. Then the system extracts structured fields (vendor, dates, totals, VAT, currency), deduplicates against everything already processed, files the original PDF in Drive, writes structured data to a database, and pushes the booked invoice to your accounting tool. The whole loop completes in under 15 minutes per inbox.

Modern AI invoice processing uses a frontier LLM (we typically use Claude or GPT) that reads the PDF as a vision-and-text input and returns a structured JSON object with vendor, dates, line items, subtotal, VAT, and total. It is not classic OCR. OCR converts pixels to characters. AI invoice extraction also understands what those characters mean in context, which lets it handle invoices in formats it has never seen before, including non-tabular layouts. Confidence is scored field by field, so low-confidence extractions can be routed for human review.

Industry benchmarks (Precoro 2026, NetSuite 2024) put manual processing at €12 to €30 per invoice when you load fully-burdened staff cost. AI invoice processing typically lands at €1 to €5 per invoice including LLM, storage, and workflow cost. For Brightlane Software's volume of about 4,800 invoices a year, the per-invoice cost dropped from roughly €15 to roughly €2, which translates to about €60,000 a year of finance-team capacity returned to the business.

On the standard formats (cloud vendors, ad platforms, common SaaS subscriptions) modern frontier LLMs hit field-level accuracy in the high 90s. On weird formats, hand-written receipts, scans of scans, foreign-language invoices, and one-off freelancer invoices, accuracy is lower. The right design isn't to chase 100 percent accuracy. It's to score confidence per field and route anything below the threshold to a human review queue. That's exactly what this build does.

Yes. Every invoice is stored in its original currency and also converted to the customer's base currency at the FX rate on the invoice date. We pull rates from the European Central Bank reference rates for EUR-base operations, or from a comparable source for other base currencies. Monthly reporting comes out in one currency without anyone touching a spreadsheet.

For EU vendors, every VAT number is validated against the European Commission's VIES registry on first contact and re-validated quarterly. Bad VAT IDs are flagged before any invoice based on them gets booked as input-tax-deductible. For German clients specifically, we also build to HGB §257 retention requirements (10 years), with PDFs in Drive and metadata in Postgres, both auditable.

We do it in two phases. Phase 1 is a fast n8n proof-of-concept (~2 to 3 weeks) that proves extraction quality on real customer invoices and starts producing measurable ROI inside a month. Phase 2 is the production build with a custom admin panel, accounting integration, approval workflow, and full hardening (~10 to 14 weeks). Phase 1 doesn't replace Phase 2; it de-risks Phase 2.

Yes, that's the point. Brightlane kept their existing accounting tool. The automation handles everything before the invoice reaches the accounting tool: capture, extraction, dedup, vendor enrichment, FX conversion, approval routing, and filing. Then it pushes the booked invoice into the accounting tool by API. We've built integrations with Xero, QuickBooks, and NetSuite-class systems; the pattern transfers to any accounting tool with a real API.