Submit an inquiry

Data entry automation for professional services firms

Data entry automation replaces retyping with a pipeline. Documents, emails, and spreadsheets arrive the way they always have, the system reads them, checks what it read, and files structured data into the software where it belongs. Anything it is not confident about goes to a person instead of into the record. Norwell Systems builds these pipelines in three weeks at a fixed price.

The manual version

Information arrives in one shape and is needed in another, so someone bridges the gap by hand. The invoice PDF gets retyped into the accounting system. The emailed form gets retyped into the CRM. It is nobody’s job title and part of everybody’s day, and every retype is a chance to introduce the typo that surfaces three months later.

What gets built

  • Intake points where documents already arrive: a mailbox, a folder, an upload
  • Extraction that reads the fields the firm cares about, tied to the data, not the document layout
  • Validation rules that check extracted values before anything is written
  • A review queue for anything below the confidence bar, so nothing is silently guessed
  • Delivery of clean, structured records into the firm’s systems

How it works

  1. Documents land where they already land. The system picks them up from there.
  2. Extraction and validation run. Confident results file themselves.
  3. Uncertain results wait in a short review queue where a person confirms in seconds what used to take minutes to type.

What changes

The retyping disappears, and with it the retyping errors. Documents stop pooling in an inbox waiting for a free afternoon. Staff review exceptions instead of processing everything.

The straight answer

Extraction on its own is cheap now. Parseur and Docparser start around $39 a month, and for one document type going to one destination they are the right buy. This build is the pipeline around extraction: validation rules, a review queue so nothing is silently guessed, and delivery into several systems at once, all of it owned by the firm rather than rented one parser at a time.

Common questions

How accurate is the extraction?

Every extracted value passes validation rules before it is written, and anything below the confidence bar goes to the review queue rather than into the record. The design principle is simple: nothing is silently guessed.

Can it read scans and handwriting?

Typed documents and digital PDFs are the strong case. Scanned and handwritten material varies, which is why week one includes a look at the firm’s real documents before scope is fixed.

Our document formats change all the time. Does that break it?

Extraction is tied to the fields, not the layout, so ordinary variation is expected. A genuinely new document type is an addition, not a rebuild.

Is there a volume limit?

The system is sized to the firm’s actual volume during scoping. For a firm of five to fifty people, volume is not the constraint.

The engagement

Three weeks, $5,500 fixed. Week one maps how the work actually happens. Weeks two and three build and test against real cases. Handover includes source code, documentation, the accounts it runs on, and thirty days of fixes. No retainer, nothing locked in.

Also commonly automated