Artificial Intelligence

Document intelligence

Extraction pipelines that understand messy real-world documents, validate them against your rules, and post clean data into ERP, CRM, or case tools.

The problem

Teams still key data from PDFs, scans, and email attachments by hand. It is slow, error-prone, and the first thing to fall behind at month end.

Sounds familiar?

What we build

Intake from anywhere
Documents arrive by email, upload, or scan and are sorted by type automatically.
Field extraction
Key data is pulled out of varied layouts, tables, and handwriting, with a confidence score per field.
Rule checks
Values are matched against purchase orders, contracts, and master data before anything is posted.
Review queue
Only low-confidence or failed checks reach a person, side by side with the original document.

What changes

TodayWith DataHill

Today: Every document is typed in by hand
With DataHill: Most documents flow straight through
Today: Errors surface in reconciliation
With DataHill: Mismatches are caught before posting
Today: Backlogs grow at month end
With DataHill: Volume spikes no longer need extra people

How we deliver it

Weeks 1–2
Discover
Sample real documents, map the fields and rules, and measure today’s handling time.
Weeks 3–7
Build
Ship extraction and validation for the first document type, then connect it to your system of record.
Ongoing
Run
Monitor accuracy per field, retrain on corrections, and add document types.