AI document management and archive search

Digitization makes a document readable. That is the easy half. AI document management classifies the file, pulls the fields out of it and then has to find, somewhere in an archive nobody has opened in years, the page that answers the question you asked. Automation connects that document to approvals or to a business system. Verify correctness and permissions before deployment, and decide what the system does when it is wrong.

Our own product MojaFirma demonstrates processing on synthetic data. Put a real workflow in front of us and we scope an AI automation pilot around it.

What we validate in MojaFirma

MojaFirma is a Rise.sk product. The demonstrations run on synthetic documents and cover three steps.

• document classification and extraction of selected fields
• linking to an existing record through an exact identifier or controlled matching
• creating a report or template draft for human approval

A demonstration is not proof of correctness on your data. Every field needs its own validation rule, and an uncertain match sends the document to manual review rather than onward into the next system.

How to automate document search in an archive

OCR first. It makes the text in a scan searchable while the original file stays untouched and the version gets a label, so that later on somebody can still say which copy was in force. Filtering by supplier or by number needs no model, and neither does filtering by date. AI earns its place on questions about content, such as which contract contains the clause you are looking for.

An answer has to show the source document and the passage it came from. Users only see documents they are cleared for. Test the superseded version. Test the attachment that contradicts the contract, and test the question the archive simply cannot answer, because that is the one where an answer gets invented. An AI summary does not replace the original or an expert reading it.

What a safe pilot looks like

Start with one document type and one decision a process owner can sign off. Clean scans are not the test, so the sample has to carry the incomplete documents and the wrong ones as well, in roughly the proportion they arrive in. Record the baseline before the pilot starts. That means processing time, number of corrections, and every case the system could not classify on its own.

Keep the document source, the extracted values and the validation result for every item the pilot touches, together with what the reviewer decided about it at the time. An error state must not continue quietly. Mark the document and route it back for completion or to a reviewer.

Security is part of the design

For sensitive documents, define roles, access scope, processing location, encryption, logging and backups, then write down what happens during an incident, including who gets told, and when. You verify that in the implementation. The demonstration alone does not verify these controls.

Validate the line totals, the currency and the date, and then check that the supplier is who the invoice says. Then break it. Feed it a credit note, the same file twice, a field that is simply not there. Before anything reaches accounting, it has to be established what the reviewer approved and which errors stop processing outright, because after the posting the correction belongs to accounting, not to the document. The working screens are in the MojaFirma demonstrations.

What determines cost and how to prepare

Scope follows the number of document types, the scan quality, the volume, the exceptions, and whether the ERP or CRM exposes an interface, which not all of them do. Existing packages and prices cover defined work.

A large archive or several departments at once needs analysis and staged delivery.

Bring anonymized samples, the current workflow, a list of the systems involved, and the name of the person who signs off the result. Agree the success criteria in advance. Processing time and correction counts belong in them, and so does being able to trace any value back to the page of the document it came from.

A repeating document process is enough to start from. On a first call we can put a measurable scope and a named approver around a pilot.