Intelligent Document Processing (IDP) is the AI/ML brain of enterprise automation. Unlike templates or OCR-only tools, IDP learns, validates, and scales across invoices, contracts, claims, and healthcare records. This guide unpacks the tech, workflows, and ROI behind modern IDP adoption.
ADP automates high-volume, structured docs with rules-driven workflows—fast, reliable, and audit-ready. Cut costs, exceptions, and cycle times. Start with a 4–6 week pilot; layer IDP for unstructured content as complexity grows.
From manual entry to OCR, IDP, and AI agents, document processing has evolved into critical infrastructure—turning messy documents into reliable, actionable data.
Automated data extraction turns raw inputs into structured data — the backbone of enterprise AI. This guide explores its definition, importance, methods (from regex to LLMs), and how to build scalable pipelines that power real-world intelligent automation.
Confused by data extraction software? Our 2025 guide clarifies the market and helps you choose the right tool to automate document workflows and power your AI.
Manual invoice processing costs $15–$20 per invoice and drains 200+ hours monthly. Invoice automation software cuts costs by 80%, reduces errors by up to 80%, and frees finance teams to focus on strategy instead of data entry.
