Your company has been talking about AI for two years.
So why does almost nothing run in production?
Every enterprise has a list of AI initiatives. Personalization pilots. Recommendation engines. Chatbot prototypes. Predictive models in notebooks. Internal hackathon winners. The demos are impressive. The slide decks are beautiful. And almost none of it is running in production, serving real customers, and moving real business metrics.
The gap is not ambition. The gap is not talent. The gap is the distance between a proof of concept and a production system: the integrations nobody scoped, the data pipelines nobody built, the governance nobody planned, the monitoring nobody designed.