In many accounting areas and firms, the problem is not the accounting system. The problem is earlier: how the information enters. When receipts arrive as loose photos, mixed PDFs, or attachments via WhatsApp/email, the team ends up doing typing and sorting work that does not add value… but consumes hours and introduces errors.

The real cost of manual input

Manual entry of tickets and invoices often brings three immediate effects:

High operational time: hours of transcription and spreadsheet preparation.
Errors and rework: totals, dates, suppliers, and inconsistent categories.
Smoother closures: slower reconciliations and controls that arrive late.

In summary: accounting functioning as “data entry”.

What we implemented (without complicating people)

For a client, we created a simple flow designed for day-to-day use:

Multi-format input: photos, images, and PDFs of receipts.
Assisted extraction: key data is identified and normalized (without “magic,” using judgment and rules).
Standard output: a spreadsheet (Excel/CSV) with defined columns, ready for control and import into the accounting/ERP system.

The key was not “using AI,” but standardizing the input: same output format, same fields, less ambiguity.

Result: 60% less operational time

With this flow, the client reduced the time spent on manual entry of tickets and invoices by 60%. This freed up the team's capacity for what truly requires judgment: review, allocation, control, and analysis.

Why it works (and why it scales)

When the data enters correctly, everything else simplifies:

Less dependence on “who inputs”
Better traceability and control
Less rework
Easier integration with any system that imports spreadsheets

If in your company or firm the input of receipts is growing and starting to hinder operations, the first step is usually not to change the accounting system: it is usually organizing the data entry. If you want, I can show you the flow and structure of the spreadsheet we use to make this work in actual operations.

Insights

Entries with tag: Data Extraction (1 entries)

Read more

We Automated Ticket and Invoice Input and Reduced Operational Time by 60%