Rossum

Rossum provides AI agents that read documents, capture, validate, and transform data, send emails, ask for approvals, and write data to ERPs, aligning with SOPs. It processes documents using a proprietary transactional large language model and supports many languages, with learning from user feedback to improve accuracy. The platform enables human collaboration for complex documents and aims to reduce manual tasks in transactional workstreams.

Rossum ingests documents through multiple channels and coordinates downstream actions. It validates data against master data, ERPs, and APIs, and standardizes formats like dates and numbers before entering downstream systems. The system supports fast AI-human collaboration for precision on complex documents and maintains an audit trail of actions and decisions.

The platform emphasizes end-to-end automation, from document intake to approvals and notifications. It offers unified document processing across entities with country-specific rules, and provides real-time metrics and logs to monitor performance and compliance. It highlights integration with downstream ERP systems and a mode of autonomous learning from user interactions.

Use cases

• Automate accounts payable and procurement document flows
• Capture and validate documentation across orders, deliveries, and settlements