Data entry automation takes the numbers sitting in your paper and PDFs and puts them straight into the systems you already run, so nobody keys the same number into two places. Anything that looks off gets flagged for a person to check, not guessed at.
Most back offices aren't short on data. They're short on time, because the same number gets written on paper, typed into a spreadsheet, and typed again into whatever system runs the business. Data entry automation removes the retyping, not the record. The paper trail stays exactly where it is; it just stops being the only place the numbers live.
A kill sheet, a receiving slip, a paper form: someone reads it and types it into one system, then types the same numbers into a second system so the books match. Twice the typing, twice the chance something doesn't match.
We connect the systems so a number typed or scanned once flows to every place it needs to land. Nobody sits down and enters the same figures a second time.
Receiving slips, cut sheets, invoices, delivery tickets. It piles up faster than one person can type it in, and it's the first thing that falls behind when the day gets busy.
We read the paper and PDF documents you already collect and put the numbers directly into your systems, the same day they come in, without anyone sitting down to type them.
Manual entry means manual mistakes: a transposed number, a missed line, a decimal in the wrong place. Most of the time nobody notices until the totals don't match at month-end.
The system flags anything that looks off the moment it happens, not weeks later, and a person checks it before it moves any further. Nothing gets auto-corrected quietly.
When the paperwork backs up, the usual fix is another set of hands to key it in. That's a recurring cost for work that's the same every time.
The automation handles the volume whether it's a slow week or the busiest week of the year, without adding headcount just to keep the entry caught up.
We don't have a library of case studies yet. Here's what this looks like in practice for our clients.
Invoices used to be typed by hand from the kill-sheet workbook the office already kept. Now the invoices build themselves straight from that same workbook. The system only reads the sheets, never changes them, and flags anything that doesn't look right for a person to check before a real invoice goes out. It saves them hours of retyping the same numbers.
Receiving, harvest, cooler inventory, and shipping run on paper at some plants. We build tablet pages to replace that paper, plus a read-only reader that pulls from the scale software already in place without changing anything in it. A question box answers from the plant's own numbers, and the day's numbers can be sent out automatically each evening.
We connect to the systems you already run and read the paper, PDFs, or spreadsheets you already collect to automate data entry, not replace your process with something new. This isn't a voice assistant answering the phone. It's the layer that gets your numbers off paper and into your systems, so you can eventually just ask about them instead of hunting through files. Phones and texts are things we can add later, once the numbers themselves are flowing automatically.
30 minutes. We look at where numbers get typed in twice and where paperwork backs up.
We map exactly what gets read, where it goes, and what gets flagged for a person to check. You approve the plan before we build anything.
We build the automation and run it against real paperwork, including the messy documents, before it touches your systems.
The system goes live on your schedule. We check the first batch of entries with you before stepping back.
It reads the numbers off the paper, PDFs, or spreadsheets you already use and enters them into your systems automatically, instead of a person retyping them by hand. Anything that doesn't look right gets flagged for a person to check. This is ai data entry built around your specific paperwork and your specific systems, not a generic scanning tool.
With whatever piles up fastest, usually receiving slips, invoices, or a workbook someone updates by hand every day. We start with the paperwork that's costing you the most time first.
Data entry is usually the biggest piece of back office automation. We can extend it to the reporting and reconciliation that depends on that data too, once the entry side is handled.
Most data entry automation software is a generic tool that reads documents but still needs someone to fix the mismatches by hand. We build it around your specific paperwork and your specific systems, so it fits the way you actually work.
A person checks anything the system flags. We don't guess at a number that doesn't match and we don't quietly correct it. It goes to a person, the same as it would if a coworker caught the mismatch.
Yes. That's usually where we start: connecting the two systems so a number entered once flows to both, instead of someone typing it into each one separately.
A single automation, like receiving slips going straight into your inventory system, typically takes 1 to 2 weeks from discovery call to go-live.
Tell us what paperwork is piling up and where the numbers get entered more than once, and we'll show you exactly what automating it looks like, including what a person still checks by hand.
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