Description
Rossum offers an advanced AI document processing solution designed to automate and optimize transactional workflows. The platform leverages cutting-edge AI, including proprietary transactional LLMs and Generative AI, to handle a wide array of documents with remarkable accuracy and efficiency. By offloading paperwork to intelligent AI agents, businesses can focus on core operations while Rossum manages data capture, validation, transformation, and integration with downstream systems.
The solution excels at ingesting documents from multiple sources such as email, scanners, PEPPOL, and shared drives. Its proprietary LLM supports 276 languages and handwriting, ensuring comprehensive coverage. Rossum achieves high accuracy with zero hallucinations by continuously learning from user feedback and facilitating AI-human collaboration for complex documents. This ensures precision even with intricate data sets.
Beyond data capture, Rossum validates and augments transactional data by cross-validating it with master data, ERPs, third-party APIs, and business rules. It computes and infers necessary data like GL codes, tax codes, and HS codes, while standardizing formats for seamless integration. The platform also triggers automated communications and AI learning, automating approval workflows, accelerating exception handling with AI-generated emails, and improving automation rates through continuous learning.
Rossum provides real-time strategic insights by tracking key metrics such as error rates, exception volumes, and document turnaround times. Its unified platform offers a full audit trail and logs for each document, ensuring compliance and data security. The ability to search and retrieve documents across extracted and non-extracted data enhances accessibility and control. Seamless integration with downstream ERP systems further simplifies adoption and maximizes value.
Trusted by enterprises across various sectors, Rossum is recognized for its leadership in Intelligent Document Processing. The platform is ideal for finance teams, supply chain managers, order management specialists, and quality assurance professionals looking to enhance operational efficiency, reduce errors, and achieve higher straight-through processing rates. Its AI-first, cloud-native architecture and focus on human-AI collaboration make it a flexible and scalable solution for modern businesses.
AI Document Processing's Core Features
AI-powered document ingestion from email, scanners, PEPPOL, and shared drives
Proprietary transactional LLM supporting 276 languages and handwriting
Continuous learning from user feedback for high accuracy and zero hallucinations
AI-human collaboration for complex document precision
Data validation and augmentation with master data, ERPs, and APIs
Automated computation and inference of data (e.g., GL codes, tax codes)
Data standardization for downstream systems
Automated approval workflows with configurable rules
AI-generated emails for vendor notifications and exception handling
Real-time strategic insights and performance tracking
Unified platform with full audit trails and document logs
Secure document archiving and retrieval
Seamless integration with downstream ERP systems
Human-AI collaboration tailored to business needs
How to use AI Document Processing?
Ingest documents: Upload or connect sources like email, scanners, or shared drives.
Process documents: AI agents read, capture, and validate data using proprietary LLM.
Validate & augment: Cross-validate data with master data, ERPs, and business rules.
Automate workflows: Trigger approvals, send notifications, and write data to ERPs.
Monitor & optimize: Track key metrics and leverage AI learning for continuous improvement.
AI Document Processing's Use Cases
- Invoice Processing
- Order Management
- Supply Chain Management
- Quality Assurance
- Data Extraction
- Workflow Automation
- Exception Handling
- Compliance Management
