Document AI and NLP for Business Documents

Much of the information your business depends on is locked inside documents: invoices, contracts, forms, emails and reports. People read them, retype key details into systems, and search folders for the file they remember seeing last year.

Logano Company builds document AI and natural language processing solutions that read documents for you. They extract the fields you need, classify and summarise text, and let your team ask questions of a document collection in plain language.

Who this is for

Document AI is a good fit when people in your business spend real time reading, retyping or searching documents. Accounts payable teams keying invoices, legal and procurement teams checking contract terms, and support teams hunting through manuals are all typical starting points.

The best way to begin is to send us a small, representative sample of your documents, including the awkward ones. We test what can be extracted or answered, tell you what accuracy to expect, and only then propose a build. That keeps the project grounded in your real paperwork rather than an idealised demo.

• Accounts payable and finance teams processing supplier invoices
• Legal, procurement and compliance teams reviewing contracts
• Support and operations teams searching large manuals and archives

Extracting data from documents

Document AI can read an invoice, a purchase order or a form and turn it into structured data ready for your accounting or ERP system. Unlike template-based tools, it copes with different layouts from different suppliers.

• Invoices, receipts and purchase orders into structured records
• Key terms and dates from contracts
• Scanned and photographed documents through OCR
• Confidence scores, so uncertain fields go to a person for review

Classifying, summarising and routing text

Natural language processing handles text at volume. It can sort incoming emails or complaints by topic and urgency, summarise long reports into a few lines, or flag messages that need attention first. This gives teams a head start on work that used to begin with hours of reading.

Ask questions of your own documents

Instead of searching for keywords and opening ten files, your team can ask a question and get an answer drawn from your documents, with a reference to the source. Our product ChatOwnData is designed for this use: chatting with your own documents privately.

Arabic and English documents

Many businesses handle documents in both Arabic and English, sometimes in the same file. We build solutions that handle both, and we test on your real documents rather than clean sample files, because real documents are where accuracy is won or lost.

Keeping a person in the loop

For documents with legal or financial consequences, we design the workflow so that uncertain results are routed to a reviewer. The goal is to remove the typing, not the accountability.

Frequently asked questions