Insights on GenAI-Native Document Automation
Why GenAI-Native IDP Replaces Template-Based and ML-Training Approaches
The document processing industry is going through a generational shift. Legacy IDP tools built on templates and ML training are being replaced by GenAI-native platforms that understand documents from day one.
Document AI Benchmark: GPT vs. Claude vs. Open-Source on Real-World Invoices
We benchmarked GPT-4o, Claude Sonnet 4, Gemini 2.5 Pro, and open-source models on real-world invoice extraction. The results reveal surprising differences — and show why orchestration matters more than model choice.
How We Process a Mortgage Application in Under 60 Seconds
A typical mortgage file contains 100+ pages across 15–20 document types. Here's how DocAI Fabric classifies, splits, and extracts data from the entire packet in under a minute.
The Two-Agent Pattern for Production Document AI
Why production document AI needs two agents: a deterministic Document Processing Agent for real-time execution, and an intelligent Supervisor Agent for continuous improvement.
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