Month: June 2026

A $340,000 AI anomaly detection feature launched with eleven users—eight from the product team. David Ohnstad exposes why enterprise AI budgets are wasted and what separates successful implementations from expensive failures.

Most companies automating with AI agents skip a critical step: mapping actual decision trees. This article breaks down why autonomous systems fail in practice and what preparation prevents expensive mistakes.

A $2.3M AI platform launch resulted in zero adoption after 90 days. David Ohnstad explains the critical mistake: building infrastructure before understanding what problems it actually solves. The real roadmap starts with user demand, not infrastructure.

Your organization doesn’t need AI agents right now. You need better data infrastructure, clearer decision frameworks, and the discipline to solve operational chaos first. Most enterprises are building AI agents before addressing fundamental problems that guarantee failure.