One post tagged with "teams"

The model works. The pipeline runs. The demo looks great. And then the feature dies somewhere between the data team's Slack channel and the product engineer's JIRA board.

This is the pattern behind most AI project failures—not a technical failure, but an organizational one. A 2025 survey found that 42% of companies abandoned most of their AI initiatives that year, up from 17% the year prior. The average sunk cost per abandoned initiative was $7.2 million. When the post-mortems get written, the causes listed are "poor data readiness," "unclear ownership," and "lack of governance"—which are three different ways of saying the same thing: nobody was actually responsible for shipping the feature.