The year 2025 has brought a fundamental shift in how we view AI: we have moved beyond simple chatbots to autonomous AI agents capable of executing complex work. However, as our latest white paper, "Fueling the Agentic Enterprise," reveals, many organizations are seeing their AI initiatives stall.

The stark reality is that while modern enterprises sit on a goldmine of 181 zettabytes of information, 80-90% of it still remains trapped as "dark data": unstructured PDFs, emails, images, and contracts that traditional software cannot read and AI systems cannot efficiently process. This isn't just a technical problem; it's the primary barrier preventing organizations from realizing the full potential of their AI investments. In fact, recent studies show that 70-85% of failed AI initiatives trace back to fundamental data architecture issues.

In this white paper, you'll discover:

• Why legacy OCR is failing modern AI systems and what's replacing it
• The "agent-ready" data architecture that leading enterprises are building right now
• How Vision-Language Models are unlocking previously inaccessible information
• The SCORE framework: an accurate way to evaluate generative document parsing
• Build vs. buy economics for document parsing infrastructure
• Essential governance practices for identity-aware, hallucination-resistant AI systems

Don't let your AI initiatives stall at the data layer. Download the full white paper to learn how to bridge the gap between "dark data" and autonomous value.

Download the white paper now: