AI Glossary
What it means, why it matters to your business, and where it shows up in a real build decision.
In plain terms
A proof of concept tests whether an idea can work, a pilot tests it with a small group of real users, and production is the fully supported system everyone relies on. Most of the cost and effort sits between a working demo and production. Confusing a successful PoC with a finished product is the most common AI budgeting mistake.
A PoC is a sketch. A pilot is a limited print run. Production is the full press. Each stage costs more, moves slower, and delivers more confidence than the last.
A logistics company spends three weeks on a route optimization PoC. It works. They run a 90-day pilot with one region. Validated. Full production build takes eight months and the serious engineering budget.
Every AI investment should move through these stages deliberately. A PoC answers 'can this work.' A pilot answers 'does this work in our context.' Production is the decision to operate and support it indefinitely.
Do not treat a successful PoC as proof the production system is built. The gap between a working demo and a maintained, scalable, secure product is where most AI projects underestimate both cost and time.
Production typically costs several times more than the PoC.
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