Double Capacity Without Extra Headcount

The challenge

Accountants spent on average 40% of their working time manually entering receipts, bank statements and invoices. Growing the client base was impossible without hiring additional staff.

Our approach

AI document processing pipeline that automatically recognises, categorises and books receipts, invoices and bank statements in the accounting package. Exceptions are flagged for human review.

1. Phase 1

   Analyse document flows per client file

   Not every client file is alike: a hospitality business delivers hundreds of small receipts, a consultancy a few large invoices. We started with the files with the highest volume and the most predictable documents.

2. Phase 2

   Set up recognition and categorisation

   The pipeline extracts supplier, amount, VAT rate and date, and proposes a booking based on this firm's earlier entries. The model therefore learns this practice's way of working, not a general average.

3. Phase 3

   Start with a deliberately low automation threshold

   In the first month every proposal passed an accountant. As reliability per document type became clear, automatic processing was widened step by step. Building trust comes before speed.

4. Phase 4

   Redeploy the freed-up time

   The gain is not in cutting but in shifting: accountants moved from data entry to advice and client contact. That made it possible to take on six new files without hiring.

The results

• Manual entry time reduced from 40% to 8% of working hours
• Capacity per accountant doubled without new hires
• Entry error rate: from 4.2% to 0.3%
• 6 new client files onboarded without expanding the team

Frequently asked questions

Does the accountant remain responsible?

Always. The system proposes, the accountant reviews and approves. Professional liability does not shift to the software.

Does this work with our accounting package?

The pipeline connects to the common Belgian packages via API or import file. Which package you use mainly determines how entries are delivered.

How reliable is receipt recognition?

Printed invoices are recognised very reliably; crumpled till receipts remain harder. That is exactly why the review queue exists.

What happens to client data?

Processing takes place within the EU and data is not used to train external models. For an accountancy firm bound by professional secrecy that is a hard requirement, not a detail.