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AI is the future of business—but most AI projects fail before they even get started. The reason? Bad data.
AI needs structured, high-quality data to function. Yet, the majority of enterprise data—over 80%—is locked away in PDFs, scanned documents, emails, invoices, and contracts. Without a way to extract and structure that data, AI is running on fumes.
That’s where Intelligent Document Processing (IDP) comes in. IDP is the foundation of AI automation, bridging the gap between unstructured documents and AI-driven decision-making.
The Problem: Businesses Run on Documents, Not Databases
For decades, companies have relied on documents—whether it’s financial statements, customer contracts, or insurance claims—to store and manage critical data. The problem? Documents weren’t designed for AI.
Unlike structured databases, documents don’t follow a neat, standardized format. They contain inconsistent layouts, human errors, scanned images, and handwritten notes—none of which AI can interpret without help.
The Solution: How IDP Prepares Data for AI
IDP solves this problem by automating data extraction, structuring, and validation. Instead of relying on humans to manually process documents, IDP enables AI to understand and use document-based data efficiently.
Here’s how it works:
Extracts text, tables, and key information from PDFs, emails, and scans
Cleans and validates data, removing errors and inconsistencies
Structures data so AI can process and analyze it effectively
Integrates with business applications to automate workflows
Think of IDP as the missing link between raw business data and AI-driven automation. Without it, businesses are stuck in manual processes that slow down operations and limit AI’s potential.
How IDP is Enabling the Next Wave of AI Automation
Because data is the fuel for AI, companies are pouring investments into IDP to unlock new AI-driven efficiencies. Some of the biggest areas where IDP is making an impact include:
Financial Services & Insurance – Automating claims processing, loan approvals, and regulatory compliance by extracting data from statements and policy documents.
Healthcare & Life Sciences – Digitizing patient records, clinical trial forms, and medical documents to improve accuracy and reduce manual data entry.
Enterprise Operations – Extracting data from invoices, purchase orders, and contracts to eliminate repetitive tasks and streamline workflows.
Legal & Compliance – Automating contract analysis, redaction, and risk assessments by processing legal documents at scale.
Why IDP is Where the Money is Going
Enterprises are investing heavily in IDP because it delivers real, measurable ROI:
30-50% reduction in operational costs by eliminating manual document handling
70%+ faster processing times for invoices, claims, and approvals
Higher AI accuracy by ensuring AI models are trained on structured, reliable data
IDP isn’t just another automation tool—it’s the foundation of AI success. Businesses that fail to structure their data will struggle to scale AI-driven initiatives.
If you’re investing in AI but haven’t tackled your document problem yet, you’re putting the cart before the horse. AI can only be as good as the data it’s trained on—and IDP ensures that data is clean, structured, and ready for automation.