Rossum
Automate document processing and data extraction with AI agents
Target Audience
- Accounts payable teams
- Enterprise operations managers
- Compliance officers
Hashtags
Overview
Rossum's AI agents handle repetitive paperwork like invoices and forms by reading, validating, and processing documents automatically. It integrates with your existing systems to trigger approvals, update ERPs, and reduce manual data entry errors. The platform learns from user feedback to improve accuracy over time while maintaining compliance with business rules.
Key Features
Proprietary LLM
Processes structured/unstructured documents with continuous learning
Multi-Channel Ingestion
Accepts documents via email, scanners, PEPPOL, and shared drives
Auto-Validation
Cross-checks data against master records and business logic
Smart Workflows
Automates approvals, emails, and ERP updates per your SOPs
Process Insights
Tracks turnaround time, error rates, and automation performance
Use Cases
Process invoices/purchase orders automatically
Automate accounts payable approvals
Audit document processing history
Handle vendor communications via AI-generated emails
Optimize supply chain document workflows
Pros & Cons
Pros
- Enterprise-grade compliance with country-specific rules
- Continuous AI improvement through user feedback
- End-to-end automation from ingestion to ERP integration
- Real-time analytics for process optimization
Cons
- Likely complex setup for small businesses
Frequently Asked Questions
How does Rossum handle complex documents?
Uses proprietary LLM and human-AI collaboration for high accuracy
Can it integrate with our existing ERP?
Yes, supports seamless integration with downstream ERP systems
Is the system customizable to our business rules?
Yes, configures to your SOPs with country-specific compliance
Integrations
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