After spending on digital transformation, most companies discover they have earned the right to transform again. S&P Global research shows only 5% of companies generate value from AI at scale. Here is what happens when consultants leave and why continuous evolution beats episodic overhauls.
Between technical MLOps and general business operations lies a missing discipline that determines whether AI creates lasting value or becomes expensive technical debt. With roughly 80 percent of AI projects failing in production, this ai operations framework applies Lean Six Sigma principles like continuous monitoring, quality assurance, and systematic improvement to AI systems at scale.
AI agents wreck environments in loops, as Solomon Hykes put it, while burning through thousands in tokens. But the real failure? Feedback systems that collect input then do nothing. Here is what actually works in production.