Intelligent Document Processing

Intelligent Document Processing (IDP) revolutionizes how organizations handle the flood of paper and digital documents that power business operations.

Infocap uses AI, machine learning, and advanced OCR to automatically extract, classify, and validate information from any document—whether structured forms, invoices, contracts, or handwritten notes. This eliminates manual data entry, reduces errors, and accelerates workflows, freeing your team to focus on high-value analysis and decision-making. Infocap’s human-centric approach ensures that automation is tailored to your unique document types and compliance needs, delivering measurable improvements in speed, accuracy, and operational efficiency.

Intelligent Document Processing Solutions

Infocap’s IDP platform ingests documents from any source—scanners, emails, portals—and applies AI-powered extraction and classification to turn unstructured content into structured, actionable data. Our experts work with you to define validation rules, exception handling, and downstream integrations, so that every document is processed accurately and routed to the right workflow. IDP not only streamlines back-office operations, but also supports compliance, customer service, and analytics initiatives. With Infocap, your organization can unlock the full value of its documents, transforming them from bottlenecks into business accelerators.

What Intelligent Automation Means for IDP

Intelligent automation in document processing means going far beyond simple scanning or OCR. By combining AI, machine learning, and business rules, organizations can extract context, validate data, and automate decision-making at scale—without human intervention. Infocap adapts to new document types, languages, and layouts, learning over time to improve accuracy and efficiency. This enables organizations to process more documents, faster, with fewer errors and lower costs. Infocap’s human-centric approach ensures that automation works alongside your experts, handling routine tasks while enabling oversight and exception management for complex cases.

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Automated Data Extraction

IDP automatically identifies and extracts key data fields—such as names, dates, amounts, and signatures—from any document, regardless of format or structure. Advanced AI models handle variations in layout, language, and handwriting, ensuring high accuracy even with complex or messy documents. This eliminates manual keying, speeds up processing, and reduces costly errors. 

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Document Classification & Routing

The system classifies incoming documents by type (e.g., invoice, contract, claim) and routes them to the appropriate workflow or department. Automated classification ensures that each document is handled consistently and according to business rules, reducing delays and improving compliance. 

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Data Validation & Enrichment

Extracted data is automatically validated against reference databases, business rules, or external systems. The system flags discrepancies for review, enriches records with additional information, and ensures that only accurate, complete data enters your downstream processes. This reduces rework and improves decision quality. 

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Exception Handling & Human-in-the-Loop

When documents are ambiguous, incomplete, or fail validation, the system routes them to human experts for review. This “human-in-the-loop” approach ensures that complex or sensitive cases are handled appropriately, while the system learns from user feedback to improve future automation. 

Areas to Automate

Invoice Processing

Automatically extract line items, amounts, and vendor details from invoices, validate against purchase orders, and route for approval. This reduces manual entry, accelerates payment cycles, and improves accuracy in accounts payable. 

Contract Management

Ingest contracts, extract key terms (dates, parties, obligations), and populate contract management systems. Automated alerts for renewal dates or compliance clauses reduce risk and ensure timely action. 

Claims Processing

Extract data from insurance claims, validate policy details, and trigger automated adjudication or escalation workflows. This speeds up claims resolution, reduces errors, and enhances customer satisfaction. 

HR Onboarding Documents

Process employee forms, IDs, and certifications, extracting and validating data for HR systems. Automated onboarding reduces administrative workload and ensures compliance with regulatory requirements. 

Customer Correspondence

Ingest and classify customer letters, forms, or emails, extracting relevant data and routing to the correct service team. This ensures timely, accurate responses and improves customer experience. 

Regulatory Reporting

Extract and validate data from compliance documents, generate audit-ready reports, and maintain detailed logs for regulatory review. This reduces the risk of non-compliance and audit penalties. 

Medical Records Management

Extract patient information, diagnoses, and treatment details from medical forms and notes, updating EHR systems automatically. This improves data quality and frees clinicians to focus on patient care.