MTAMIAMI TECHNICAL ASSOCIATION

Document Intelligence

Intelligent document processing

Intelligent document processing reads incoming documents, recognizes what they are, extracts the fields that matter and sends them to the right place — with people reviewing what the system isn't sure about.

Describe my document problem Upload requirements

The outcome

Less manual data entry, faster turnaround, and a clear record of what was extracted and who approved it.

Common situations

  • Invoices and purchase orders
  • Claims, applications and enrollment forms
  • Contracts and agreements
  • Correspondence that needs routing

The approach

  1. Document mix. Which document types arrive and how many.
  2. Field definitions. Exactly which values you need from each type.
  3. Classification and extraction. Automatic reading with confidence checks.
  4. Human review. People confirm uncertain fields before data moves on.
  5. Routing and integration. Results delivered into your systems or workflows.

Is this the right starting point?

It probably is if:

  • People re-type information from documents every day
  • The same few document types make up most of the volume
  • You can describe the fields you need

Not sure? Describe what is happening — the assessment works out which problem you actually have.

What the free assessment gives you

  • What we understood — the facts you stated, labelled as confirmed, separate from anything inferred.
  • The document problem — which of the common document problems you actually have, so you don't buy for the wrong one.
  • Recommended approach and likely phases — only the capabilities your situation needs.
  • What pricing needs — the next input required, or a status showing the provider will prepare pricing.
  • Missing information — what would sharpen the result, asked one question at a time.

Nothing is stored until you create an account and choose to save. Uploaded files stay private.

Questions buyers ask

Is extraction 100% accurate?

No automated extraction is perfect. Good designs measure confidence and send uncertain fields to a person for review.

Do we need a lot of sample documents?

Samples of each document type help a great deal. The assessment will ask what you have.

Can it work with scanned paper and emailed PDFs?

Both are common inputs; scanned paper needs good capture quality first.

Start with your own words

No meeting first. Describe the problem and get a short assessment: the problem, the approach, likely phases and what pricing needs.

Assess my document problem