Building a generative AI demo takes days. Taking it to production, with real users, real data and real accountability, takes discipline. The difference is rarely the model; it is everything around it.
Pick use cases with a clear owner
Successful programs start where there is a measurable pain point and a business owner who wants it solved, not where the technology looks most impressive.
Ground, evaluate, monitor
Answers must be grounded in approved sources, evaluated against real questions and monitored after launch. Quality has to be measured continuously, not assumed.
Design for people
The best AI products keep people in control: they show their sources, ask for approval before acting and make it easy to give feedback. Trust is what turns a pilot into a habit.