Extracting document data
Relevant details from invoices, orders and PDFs become structured fields. Information that needs checking is sent for review.
AI implementation
I implement AI for extracting document data, classifying messages and searching company knowledge. I connect it to the tools you already use.
Describe the task for AIRelevant details from invoices, orders and PDFs become structured fields. Information that needs checking is sent for review.
AI identifies the topic of an inquiry, prepares a summary and helps direct it to the right person.
An employee asks a question and receives an answer based on selected documents, with sources. We define which information they can access.
We collect representative examples and define the expected result. We check where a simple rule is enough and where AI could help.
We compare results with expectations. We agree on acceptable error levels, usage costs and cases that need human review.
I connect the solution to your tools. We define access rules, review procedures and ongoing quality monitoring.
I bill by the hour. The estimate depends on document types, integrations and how results are reviewed. We discuss model usage and infrastructure costs separately. The first stage can test the idea on a small sample.
Kilka odpowiedzi, które zwykle padają, zanim ustalimy pierwszy etap.
Jeśli pytanie dotyczy konkretnego procesu — opisz, co dziś spowalnia zespół.
Napisz, co zabiera Wam czas lub utrudnia pracę. Nie musisz wiedzieć, jak to rozwiązać. Dopytam o szczegóły i zaproponuję, od czego zacząć. Odpowiadam w ciągu 1–2 dni roboczych.