The Future of Document Intelligence isn’t Human or Machine. It’s Both.
Document processing has come a long way.
From manual data entry to basic OCR and now to AI-powered extraction, each evolution has promised greater efficiency.
Yet organizations in complex industries like energy, mining, and healthcare continue to face a fundamental challenge: balancing automation with accuracy.
Pure automation sounds appealing.
The promise of hands-off document processing that delivers perfect results every time without human intervention has been the goal of countless technology providers.
But there’s a problem. Documents in the real world are messy.
They contain handwritten notes, complex tables, non-standard formats, and industry-specific terminology that even the most advanced AI can misinterpret without context.
