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APFerrer
Document vertical body

Document automation without depending on a single model.

Extraction, classification, normalization and review of enterprise documents. We combine dedicated OCR, dictionaries, lightweight API models and frontier models with human review where responsibility lies. No AI vendor becomes a single point of failure.

Use cases

Four document problems already solved in the vertical body

  • Bulk ingestion of incoming documents

    Invoices, delivery notes, cases, tenders, contracts arriving via email, portal or messaging. Automatic classification by type, extraction of the fields that matter and routing to the correct process. The person steps in when the model is not confident.

  • Semantic analysis of tenders and cases

    Locate award criteria, deadlines, technical and solvency requirements in a 200-page tender in minutes. The system returns the source pages and the proposed interpretation. The expert decides.

  • Reliable tabular extraction with dedicated OCR

    Invoice tables, customs listings, regulatory exports as PDF. Dedicated tools for the tabular part, general models only for what actually needs reasoning. Lower cost, higher accuracy.

  • Assisted drafting of internal documents

    Reports, summaries, commercial proposals generated from templates and internal data. The model drafts with cited sources. The human reviews, edits and signs off. Full traceability.

How we solve it

Each task rises only to the level it needs

Orchestration relies on the Semantic Scale: deterministic code for the exact, dictionaries for the known, dedicated components for OCR and classification, lightweight API models for interpretive work, frontier models only when complexity justifies it, and human review where responsibility lies.

  • No vendor lock-in. The model gateway lets us switch between OpenAI, Anthropic and Google without rewriting the system. The switch happens for price, privacy, quality on the specific task, or because a provider deprecates a model.
  • Full traceability. Every extraction, classification and response carries the cited sources and the scale level that produced it. Auditing means opening the record, not re-running the pipeline.
  • Human review where it belongs. The system proposes and explains. The person with responsibility reviews, edits and signs off. When the model is not sure, the system says so instead of making it up.
  • Real cost control. You do not pay a frontier model to classify an invoice. You pay OCR and dictionary for the tabular part, lightweight model for the interpretive part, and frontier model only when the problem really requires it. It is measured and billed in understandable units: pages, documents, cases.
FAQ

Frequently asked questions

  • What can be automated in a company's document operation?

    Bulk ingestion of documents (invoices, cases, tenders), classification by type, extraction of relevant fields, routing to the correct process, semantic analysis of tenders and cases, reliable tabular extraction with dedicated OCR, and assisted drafting of internal documents with cited sources.

  • Does automation replace the human team?

    No. The system proposes and explains; the person with responsibility reviews, edits and signs off. When the model is not confident, the system says so instead of making it up. Human review is mandatory where legal or reputational responsibility applies.

  • Which AI tools are used?

    Dedicated OCR for tables and positional fields, dictionaries for catalogs and codes, lightweight API models for classification and interpretation, and frontier models only when the problem really requires it. The Semantic Scale decides the right level per task.

  • How is cost controlled?

    Billing is by understandable units (pages processed, documents extracted, cases analyzed) and not by generic 'AI'. Also, a frontier model is not used to classify an invoice: OCR and dictionary for the tabular part, lightweight model for the interpretive part, frontier only when it pays off.

  • Does the system depend on a single AI vendor?

    No. The model gateway lets us switch between OpenAI, Anthropic, Google or local models without rewriting the system. The switch happens for price, privacy, quality on the specific task, or because a provider deprecates a model.

Markdown version of this page (for AI agents)

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