The Everest Group PEAK Matrix® for Intelligent Document Processing (IDP) 2025 highlights a major shift: IDP solutions are no longer just about digitizing, classifying, and extracting data—they're evolving into autonomous AI agents that can understand, decide, and act.
📌 What’s changing?
🧠 1. From Templates to Context-Aware Intelligence
Traditional IDP relied on rules, templates, and zonal OCR. Today’s LLM-powered IDP understands semantic meaning and context, enabling accurate extraction even from unstructured, variable-layout documents like contracts, emails, or handwritten notes.
🧩 2. Generalization Across Document Types
With zero-shot and few-shot learning, LLMs eliminate the need for extensive model training and thousands of labelled samples. One model can process invoices, POs, receipts, and contracts—with little to no customization.
🤖 3. End-to-End Automation with Natural Language
Paired with Agentic Process Automation (APA), IDP systems don’t just extract data—they also validate, reason, and take action. Example: "If the PO number doesn’t match the ERP, escalate to a verifier."
🔍 4. Accuracy Meets Explainability
With Retrieval-Augmented Generation (RAG), LLMs can cite their sources, explain decisions, and enhance transparency—crucial for regulated industries like finance, healthcare, and legal.
🌍 5. Multilingual & Multi-Format Fluency From scanned documents and handwritten forms to multilingual PDFs—LLMs paired with vision models can handle it all.
📈 The impact?
⚡ Faster deployment
⚡ Higher straight through processing (STP) rates
⚡ Reduced manual interventions
⚡ Smarter, adaptive decision-making
💡 Intelligent Document Processing isn’t just evolving. With LLMs and agentic AI, it’s taking a quantum leap into the future.
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🚀 Agentic AI is redefining the future of IDP