AI-Powered Intelligent Document Processing (IDP) Solutions

IDP automates document classification, data extraction, and workflow integration. It can automatically capture, classify, extract, and process data from physical and digital documents. This improves accuracy, speeds up workflows, reduces manual effort, and enables seamless integration with business systems for smarter decision-making.

The AI-powered Intelligent Document Processing solution (IDP) transforms how businesses and public sector organisations manage documents. Leveraging machine learning, natural language processing (NLP), and computer vision, it can handle high-volume, complex environments, helping enterprises to digitise and process millions of documents regardless of age, format, or quality.

Traditional document processing relies heavily on manual data entry and basic OCR to convert documents into readable formats. In contrast, Intelligent Document Processing (IDP) uses AI and machine learning to automatically classify, extract, and validate data, continuously improving over time. This makes IDP faster, more accurate, and scalable for complex, high-volume workflows.

• It combines automated document capture, human-in-the-loop validation, and self-learning AI models for continuous improvement, with minimal human intervention.
• The addition of workflow builders and other AI-based technologies help to automate end-to-end document handling processes.
• XBP’s IDP stands out for its end-to-end capabilities and global track record. Decades of document management and expertise make this plug-and-play solution highly scalable, secure, and easy to integrate with other systems. 

OCR software is just one component of IDP. It converts scanned images into editable text, but IDP goes much further, using advanced AI and machine learning to automatically classify, extract, redact, encrypt, summarise, and route data. 

• Traditional methods struggle with unstructured or handwritten data. IDP can handle structured, semi-structured, and unstructured data in any format.
• Traditional systems cannot understand context or adapt. IDP uses natural language processing and context-aware AI for smarter data classification.
• Traditional processing is slow and inefficient at high volumes. IDP reduces costly manual inputs and is scalable for large, complex document workflows.
• Traditional systems often work in silos. IDP integrates with ERPs, CRMs, and cloud platforms for seamless data flow.
• Traditional systems don’t learn from errors. IDP improves through human-in-the-loop feedback and continuous machine learning.
• Traditional methods lack built-in data privacy controls. IDP includes encryption, redaction, and compliance support. 

Here are the benefits of AI-driven IDP, a solution that supports real-time tracking, audit trails, and multilingual document handling, all with the reliability and security needed for enterprise and government sector use.

• Scalable automation for high-volume document processing
• Enterprise-grade security with compliance certifications like PCI
• Customisable workflows with drag-and-drop and NLP interfaces
• Reduced costs and manual errors
• Faster processing times for mission-critical workflows
• Seamless AI integration with predictive analytics capabilities

Our Intelligent Document Processing (IDP) works as follows. It automates the handling of various document types by leveraging advanced technologies. A good IDP platform will combine both software and services to handle document processing from start to finish. Here’s a general overview of how our IDP solution typically functions: 

• Document ingestion – OCR, image processing, and document controllers recognise and convert files.
• Data extraction – Designed to work with any language or format – typed, handwritten, or mixed, information is automatically extracted and validated. This cuts costs and manual errors. It also speeds up workflows, which can be created using natural language prompts. 
• Document classification – Pre-trained neural networks accurately classify data at document, field, or even character levels. 
• Checks – automatic and human checks add another layer of checks
• Routing – data is routed to the appropriate systems
• Tracking – Real-time tracking and a full audit trail are provided.

Here are some real world use cases for Intelligent Document Processing (IDP). It’s employed across various industries to automate and enhance document-centric workflows. Here are some real-world use cases: 

• A national archives authority to digitise millions of documents, in varied formats, that go back as far as the 18th century
• A global infrastructure giant managing 80+ years of engineering documents
• A financial services firm processing multilingual invoices and syncing data with legacy ERP systems
• A publishing group auto-classifying hundreds of millions of handwritten pages

These use cases demonstrate the platform’s versatility in AI-led data extraction and categorisation, workflow automation, and end-to-end document processing across industries.

Yes. Our IDP solution prioritises data security and compliance. XBP has obtained a range of industry certifications. Features include:

• AI-powered redaction and obfuscation
• Cloud-native architecture with built-in disaster recovery
• SecAi: a Generative AI cybersecurity layer for anomaly detection and threat validation
• Industry certifications including PCI DSS, ensuring your data is protected and compliant

Absolutely. The system processes all types of documents – hand written, printed or digital, whether data is structured, semi-structured, or unstructured. Physical documents of all formats and sizes are digitised and merged with digital workflows, enabling downstream processing, reporting, and predictive analytics. AI and manual validation ensure accuracy and data integrity at every step.

XBP’s IDP supports flexible integration via:

• Open APIs and marketplace connectors
• Seamless compatibility with systems like Salesforce, NextGen, MediTech, and EHR platforms
• Support for databases and cloud storage (e.g. MSSQL, MySQL, MongoDB, Amazon S3, Google Cloud Storage)

This allows rapid onboarding and interoperability with your digital transformation stack