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Rossum

AI document processing for transactional workflows

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Rossum is a cloud-based document automation platform that uses AI agents to read transactional documents, extract and validate data, trigger approvals and emails, and write results to downstream systems such as ERPs. It addresses the manual effort involved in processing invoices, purchase orders, bills of lading, and similar documents across multiple channels and formats.

The platform ingests documents via email, scanners, PEPPOL, shared drives, and other channels, processing structured and unstructured formats including PDFs, XMLs, and UBLs. It uses a proprietary transactional LLM supporting 276 languages and handwriting, with human-in-the-loop review for complex documents. Data validation and enrichment capabilities include master data matching, business rules, third-party API cross-checks, and computation of fields such as GL codes, tax codes, and HS codes. Automation features cover approval workflows, vendor notifications, AI-generated emails, and integrations with systems including SAP, Coupa, NetSuite, Workday, and Microsoft Dynamics. Reporting and analytics track errors, exceptions, turnaround time, and straight-through processing rates, with audit logs and document archiving.

Rossum is designed for enterprise teams handling transactional document workflows, including accounts payable, supply chain management, order management, and quality assurance. It offers entity-specific workspaces with configurable permissions and country-specific rules. The platform is available through a free demo, with no pricing details provided on the pages reviewed.

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