Everyone wants a chatbot. Nobody wants an OCR pipeline. And that's exactly why OCR is the highest-ROI AI project we've built recently. No demos, no wow factor — but 20 hours per month saved, every month again.
The problem everyone knows
The typical entrepreneur: 80-200 incoming invoices per month. Every invoice is manual work: open, look, retype amount, match supplier, split VAT, post to bookkeeping, archive. Average 4 minutes per invoice.
100 invoices × 4 minutes = 6.7 hours per month. There goes your admin time. And it's error-prone.
What a good OCR pipeline does
Our typical OCR flow for SMBs:
- 1. Inbox monitor — picks up PDF attachments from invoice mailbox automatically.
- 2. Field extraction — supplier, invoice number, date, amount, VAT, IBAN, description.
- 3. Supplier matching — links to existing contacts in your bookkeeping.
- 4. VAT validation — checks percentages, flags anomalies.
- 5. Approval workflow — only uncertain cases get a human.
- 6. Auto-import — directly into Moneybird/Exact/Stripe/whatever you use.
The business case
For an SMB with 150 invoices/month:
- Without OCR: 10 hours/month manual × €40/hour = €4,800/year in time.
- With OCR: 1.5 hours/month review × €40 + €60/month API costs = €1,440/year.
- Saving: €3,360 per year, plus fewer errors and real-time cashflow insight.
- Implementation: typically €6,000 — €12,000, ROI within 18 months.
Why this is underrated
OCR feels boring compared to "AI chatbot" in a sales pitch. But:
- It works every day — no "demo brilliant, production meh".
- Directly measurable ROI — hours saved aren't disputable.
- Low maintenance costs — once built, runs for years.
Conclusion
Not all AI projects need to be sexy. The best investments are often the boring ones — those that save money every day, every month, without anyone noticing.