
Intelligent Document Processing
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- Agent-Oriented Architecture
- Agentic AI Alignment
- Agentic AI for Customer Engagement
- Agentic AI for Decision Support
- Agentic AI for Knowledge Management
- Agentic AI for Predictive Operations
- Agentic AI for Process Optimization
- Agentic AI for Workflow Automation
- Agentic AI Safety
- Agentic AI Strategy
- Agile Development
- Agile Development Methodology
- AI Agents for IT Service Management
- AI for Compliance Monitoring
- AI for Demand Forecasting
- AI for Edge Computing (Edge AI)
- AI for Energy Consumption Optimization
- AI for Predictive Analytics
- AI for Predictive Maintenance
- AI for Real Time Risk Monitoring
- AI for Telecom Network Optimization
- AI Orchestration
- Algorithm
- API Integration
- API Management
- Application Modernization
- Applied & GenAI
- Artificial Intelligence
- Augmented Reality
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D
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What is Intelligent Document Processing
The Intelligent Document Processing (IDP) solution is designed to eliminate inefficiencies in your document management processes. Leveraging the robust capabilities of the OutSystems low-code platform, our solution automates the extraction, classification, and validation of information across various document types, such as invoices, contracts, application forms, reports, and more. With rapid deployment and scalability at its core, our solution ensures you achieve operational efficiency and agility in record time.
What are the key benefits of Intelligent Document Processing
- Document Ingestion
Accepts documents in various formats: PDF, scanned images, emails, Word documents, etc. - Preprocessing
Enhances document quality using OCR (Optical Character Recognition), noise reduction, and image correction. - Classification
Identifies and categorizes document types (e.g., invoice, ID, contract). - Data Extraction
Uses OCR, NLP, and ML to extract relevant data fields from documents. - Validation & Verification
Cross-checks extracted data with internal databases or business rules to ensure accuracy. - Integration
Sends the cleaned and validated data to business systems like ERP, CRM, or RPA bots.
What are some Use cases of Intelligent Document Processing at Xebia?
- Increased Efficiency: Reduces manual data entry, speeding up document processing time significantly.
- Cost Savings: Lowers labor costs and minimizes errors that lead to rework or compliance penalties.
- Scalability: Handles large volumes of documents without requiring proportional increases in human staff.
- Improved Accuracy: AI and ML reduce the chances of human error in data extraction and classification.
- Faster Decision-Making: Real-time data extraction enables quicker business decisions and responses.
- Enhanced Compliance: Tracks and stores data for audit trails and regulatory reporting automatically.
- Better Employee Experience: Frees up staff from repetitive tasks, allowing them to focus on higher-value work.
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