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Full reference for the extraction API, webhook callbacks, and ERP connectors.

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The Blueprint for Agentic Order Management

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FAQ

Frequently asked questions

What document formats does Monce support?
Everything. PDFs, scanned documents, photos, handwritten notes, Word files, Excel files. Monce uses Claude's vision model on AWS Bedrock — if a human can read it, Monce can extract it.
How long does implementation take?
You can start processing documents in minutes — just upload or email them. Full ERP integration with custom catalog, client matching, and automated routing typically takes 1-2 weeks.
Is my data secure?
Yes. All data is processed on AWS infrastructure in EU (Paris region). We offer SaaS, private cloud, and on-premise deployment. SOC 2 Type II, GDPR compliant, ISO 27001 certified. End-to-end encryption.
How does the trust score work?
Every extracted field is matched against your catalog using the Snake engine — a deterministic, boolean-logic classifier. Each match produces a mathematical trust score (not AI confidence). Scores ≥85% auto-approve, ≥70% go to human review, <70% are flagged for manual entry.
What does it cost?
~€0.05 per document for AI extraction (AWS Bedrock). Snake matching is $0 — it runs deterministic boolean logic, no API calls. Infrastructure runs on ~€30/month. First documents are free to try.
Can Monce handle multiple languages?
Yes. Claude's vision model understands documents in any language. The extraction pipeline is language-agnostic — French, English, German, Spanish, Arabic. Catalog matching works across languages through semantic mapping.

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