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Case 01 / B2B services

AI document processing for a B2B platform

An AI processor added to an existing B2B web service turns incoming business documents into structured records, replacing manual data entry with review.

Problem

The platform’s users received business documents in many formats and typed their contents into the system by hand. It was slow, repetitive and a steady source of errors further down the process.

Solution

  • An AI processing step integrated into the existing service, without replacing the product the users already knew.
  • Documents are parsed into structured fields and validated against business rules before they are saved.
  • A provider-agnostic engine runs on more than one model provider (OpenAI and Gemini), so the feature keeps working when one provider is slow or unavailable.
  • Low-confidence results are routed to a person for review instead of being saved silently.

Result

Users moved from typing documents to checking pre-filled records. Manual data entry was significantly reduced, and the AI layer can be extended to new document types without changing the core product.

Next step

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