Most enterprise AI projects stall because of misaligned expectations, missing validation, and the demo-to-production gap.

After years selling AI platforms into enterprise, I have watched the same failure repeat. The technology works, the demo is compelling, and the project dies between week 6 and 12.
Build the validation layer before the generation layer. Test with the ugliest data you can find.
AI sits between IT and the business, and neither wants to own it. Nobody is accountable for outcomes.
Start with a single boring high-volume manual process. Automate it end-to-end with validation. Measure trust. Expand from there.
