Initializing SOI
Practical guides and frameworks for RAG implementation, knowledge graphs, and AI productization in regulated industries.
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This whitepaper argues that the prevailing strategy of deploying discrete AI "point solutions" for predictive maintenance, supply chain visibility, or safety monitoring is fundamentally flawed. Each new tool, deployed without a unifying intelligence layer, simply creates a new, more sophisticated data silo.
While AWS and other providers supply world-class infrastructure for building AI agents, they do not provide the orchestration layer that turns those agents into transformative, cross-functional business outcomes. This missing layer is what separates AI experiments from AI transformation.
The Q4 2025 deal environment has exposed a critical fault line in private equity and venture capital operations. With 1,607 funds approaching wind-down, record deal flow hitting $310 billion in Q3 alone, and 85% of limited partners rejecting opportunities based on operational concerns, a new competitive differentiator has emerged: knowledge velocity.
Your best Operating Partners are drowning in portfolio company fires. Your COOs can't explain why transformation is stalling. Your Program Managers are stuck managing noise instead of mission. They're all victims of the same invisible problem. Our research reveals that 30-40% of enterprise work happens in the shadows—undocumented hand-offs, tribal knowledge bottlenecks, and manual glue holding systems together. We call it the Hidden 40%.
## Executive Summary: The $4.4 Trillion Question Nobody’s Asking Every Monday morning, in boardrooms from Manhattan to Mumbai, executives review dashboards showing 47 active AI pilots. The presentations are polished. The potential is “revolutionary.” The demos work flawlessly. By Friday, they’ll approve three more pilots. By year-end, 95% will never reach production.