Your Team Wastes $28,500/Year on Data Entry

Average annual cost of manual data entry per employee (Parseur/QuestionPro, 2025)

A 2025 survey of 500 US-based professionals found that employees spend an average of more than 9 hours per week manually transferring data from emails, PDFs, spreadsheets, and scanned documents into digital systems.

That's not a rounding error. That's a structural inefficiency baked into how most businesses operate.

The real cost is opportunity cost

Every hour spent on manual data entry is an hour not spent on strategy, client relationships, or growth. Multiply that by a team of 20 people and you're looking at $570,000 per year burned on copy-paste.

And it's not just about salary. The survey found that nearly 60% of respondents have felt burned out or frustrated by repetitive data tasks. The employees who spend the most time on data entry — 20+ hours weekly — tend to fall into higher pay brackets ($50–$90/hour), which significantly increases the total dollar impact.

AI-powered automation changes the equation

Modern automation handles data entry in a fraction of the time — and doesn't make typos. Tools like intelligent document processing (IDP) can read invoices, extract fields, validate data, and push it into your systems automatically.

The technology isn't experimental. It's production-ready and accessible to businesses of all sizes.

3 questions to ask yourself

• How many hours per week does your team spend on data entry?
• What would they do with that time instead?
• What's the cost of doing nothing for another year?

The math is simple. The decision should be too.