Why AI Projects Fail
From Laboratory Illusion to Production Reality
Why AI Projects Fail Research Team
The Engineering & Strategic Playbook for C-Suite Leaders
Over 85% of corporate AI projects collapse after the PoC phase. This book is an evidence-based dissection of why models crumble under real-world data drift, serving bottlenecks, and misaligned incentives.
Receive Early Chapter Previews & Publication Notification
Subscribers receive an advance Chapter 1 Preview PDF and the proprietary Enterprise AI Risk Checklist Sheet.
Structure & Core Curricula
The Anatomy of 85% Failure Rate: The Illusion of Benchmarks
Why state-of-the-art benchmark models fail to survive in real enterprise environments, and why benchmark accuracy is an unreliable proxy for economic value.
The PoC Trap & Production Reality: Data Drift & Serving Debt
Technical root causes: training-serving skew, pipeline fragility, real-time drift detection, and the hidden technical debt of ML systems in production.
The Organizational Blindspot: Executive Misalignment & Governance
Why cross-functional friction between domain leaders and engineering teams destroys projects before deployment, and how to build accountability frameworks.
The Production Playbook: Architecture, ROI & Continuous Operation
Battle-tested frameworks for calculating defensible AI ROI, establishing human-in-the-loop safeguards, and running production AI sustainably.
Bulk Enterprise Distribution & Executive Briefings
We supply bulk book distributions coupled with bespoke executive workshops for digital innovation units and AI committees.