Post by Stackpoint

A widely cited MIT study found that most corporate AI pilots deliver no measurable return. The exact figure has been challenged, but the broader pattern holds across the 2025–2026 research. Two findings deserve more attention than the headline number. 1. Most failures trace to the engineering around the model rather than the model itself: integration, governance, evaluation, cost control. The model call is a small share of an enterprise-grade agentic system. The surrounding system decides whether it holds up in production. 2. Systems built with an external partner succeeded roughly twice as often as those built internally. The systems that work tend to embed in one workflow, adapt to the operator's context, and expand from a narrow start. That profile fits a vertical AI company built around a real workflow with a design partner inside it. Our latest piece looks at what the research shows (link in comments)