When your team keeps retyping the same information.
An order arrives by email. Someone types it into one system, then another, then a spreadsheet. It's slow and dull, and mistakes are easy to make.
How you know it's time.
- New hires spend their first weeks learning to enter data.
- Mistakes get found by customers.
- Volume spikes mean overtime or hiring.
- People keep two screens open just to copy between them.
It isn't anyone's fault.
Each tool was bought to solve its own problem, and the person between them became the connection. Until recently, emails and PDFs were also too messy to automate. AI has changed that, as long as you keep checks in place.
What the work looks like.
-
Find the volume
We measure which entry work happens most, and start there.
-
Read it automatically
Software pulls the details from emails, forms and documents.
-
Check before it counts
Rules compare entries against your records, and a person confirms anything uncertain.
-
Enter it once
Connected tools share the information, so nobody has to retype it.
Common questions.
What accuracy can we expect?
It depends on your documents, so we measure it on your real examples before rollout and keep people reviewing until the results earn trust.
Will this eliminate jobs?
Most teams move people from typing to handling exceptions and customers. That decision stays yours.
Does this sound like your team?
Tell us what's going on. A few sentences is plenty.