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Testing deterministic software is hard. Testing AI is harder. Testing *analytics AI* is an entirely different discipline. These are systems that reason over live data, generate insights, and produce natural language narratives.
Certificates of Analysis are critical documents, but managing them manually creates hidden bottlenecks.
Explore how AI Agents and LLMs are transforming Intelligent Document Processing (IDP) to automate document workflows at scale.
Every operations leader knows the pain: thousands of supplier documents flowing in daily — invoices, certificates of analysis, shipping manifests, customs declarations — each in a different format. Traditional OCR and template-based parsers promised automation but delivered frustration. One small layout change, a shifted column, a different font, and the entire pipeline breaks. This guide explains what intelligent document parsing actually is, how it differs from the legacy approaches that have burned so many teams, and what to look for when choosing a solution that won't crumble the moment a supplier changes their letterhead.
Traditional OCR promised to digitize your back office. But when supplier COAs arrive in 3,000 different layouts, invoices switch languages mid-page, and shipping docs contain nested tables — template-based systems break. Here's how entity-based AI extraction actually solves the problem, with real numbers from production deployments.
Ameya Extract is an intelligent document processing (IDP) platform that uses large language models to extract structured data from any document format — COAs, invoices, bank statements, customs declarations — without templates or training. In a published case study with Smart Food Safe, Ameya achieved 92% extraction accuracy across thousands of previously unseen COA layouts, with verification completed in under 30 seconds per document. Unlike traditional OCR, Ameya also validates extracted data against your business rules and product specifications automatically before it reaches your ERP.