AI document management helps classify files, extract data and find evidence for a question. Digitization makes a document readable. Automation connects it to approvals or business systems. Before deployment, verify correctness, permissions and error handling.
Our own product MojaFirma demonstrates processing on synthetic data. For a specific business workflow, we scope an AI automation pilot.
MojaFirma is a Rise.sk product. Its demonstrations use synthetic documents and show three steps.
A demonstration is not proof of correctness on your data. Every field needs a validation rule. When a match is uncertain, the document moves to manual review.
This diagram of our MojaFirma product separates extraction from approval. It explains a workflow, not a measured client result.
Our MojaFirma productFirst, extract text from scans with OCR, retain the original and identify its version. Exact filters can find a supplier, number or date. AI can help answer questions about content, such as which contract contains a particular clause.
An answer must show the source document and relevant passage. Users may only receive documents they are allowed to access. Test outdated versions, contradictory attachments and questions with no answer. An AI summary does not replace the original or expert review.
The illustrative MojaFirma model places validation between intake and storage. Specific rules and models need validation for each project.
Our MojaFirma productStart with one document type and one decision that a process owner can approve. Choose a representative sample, including incomplete and incorrect documents. Before the pilot, record processing time, corrections, and cases that could not be classified automatically.
During the pilot, retain the document source, extracted values, validation result, and reviewer decision. An error state must not continue silently. The document must be marked, returned for completion, or handed to a person.
For sensitive documents, define roles, access scope, processing location, encryption, logging, backups, and incident handling. Verify these requirements in the implementation, not in a presentation.
For an invoice, validate line totals, currency, date, and supplier identity. Test a credit note, duplicate file, and missing field. Before posting to accounting, establish what the reviewer approved and which errors stop processing. See the working-screen demonstrations for MojaFirma.
Document types, scan quality, volume, exceptions and ERP or CRM interfaces determine scope. Existing packages and prices cover defined work. A large archive or several departments requires analysis and stages.
Prepare anonymized samples, the current workflow, a system list and the person approving results. Agree success criteria including processing time, correction counts and source traceability.
If you have a repeating document process, a first call can define a measurable pilot scope and clear approvals.
Founder and CEO of Rise.sk. He designs and delivers web applications, data systems, and automation, and writes about software decisions, AI, and digital services.
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