Rossum: AI-driven Transactional Document Automation is an AI-first platform designed to automate end-to-end processing of transactional documents (invoices, purchase orders, bills of lading, etc.) across multiple channels and formats. It uses a proprietary large language model (LLM) and AI agents to read, validate, transform, and automate downstream actions (emails, approvals, ERP postings) with human-in-the-loop capabilities. The platform emphasizes scalability, accuracy, real-time insights, and seamless integration with downstream ERP and business systems.
How Rossum Works
- Receive Documents: Ingest documents at scale from multiple channels (email, scanners, PEPPOL, shared drives, etc.) in structured or unstructured formats.
- Validate & Augment Data: Cross-check against master data and country-specific rules; standardize data (dates, formats, languages); compute necessary fields (GL codes, tax codes, HS codes).
- Trigger Actions: Automatically alert, email, request approvals, and post data to ERPs; learn from user actions to improve accuracy.
- Unlock Insights: Real-time metrics and audit trails enable optimization of processes and continuous improvement.
Core Capabilities
- End-to-end document automation for transactional data from intake to ERP posting
- AI-driven data extraction from structured and unstructured documents
- Data validation against SOPs, master data, and country-specific rules
- Automated communications and AI-driven learning to improve precision
- Real-time insights with dashboards, metrics, and a full audit trail
- Human-in-the-loop collaboration to handle complex exceptions
- Seamless integration with downstream systems (ERP, CRM, etc.) and APIs
Use Cases by Area
- Accounts Payable: Invoices processing, matching, and AP workflow automation
- Order Management: Purchase orders, order acknowledgments, and related data flows
- Supply Chain & Logistics: Document processing for shipping, customs, and related paperwork
- Quality Assurance: Compliance and documentation verification
- Finance & Accounting: General ledger codes, tax codes, and financial data propagation
Why Choose Rossum
- AI-first, cloud-native platform trained on millions of transactional documents
- Proprietary LLM that learns from user feedback to improve over time
- End-to-end automation with human oversight when needed
- Strong focus on accuracy, speed, and scalability across industries
- Recognized by analysts and customers for efficiency gains and ROI
How to Use Rossum
- Ingest documents from preferred channels (email, scanners, PEPPOL, etc.).
- The system extracts and validates data per your SOPs and master data.
- Configure automated actions (emails, approvals, ERP postings) and set exception handling.
- Monitor performance with real-time insights and audit trails; adjust rules as needed.
Safety, Compliance & Security
- Enterprise-grade security and compliance suitable for financial operations.
- Data handling aligned with corporate SOPs and regulatory requirements.
Core Features
- AI Agents for paperwork: read, capture, validate, transform data, and automate actions
- Ingest documents from multiple channels in various formats (structured/unstructured)
- Advanced data validation and enrichment against master data and country rules
- Automated communications and AI-powered learning to improve accuracy
- Real-time insights, audit trails, and performance metrics
- End-to-end automation: from document intake to ERP posting
- Seamless downstream integrations and APIs
- Cloud-native, AI-first platform with human-in-the-loop capabilities