AI glossary for businesses
AI pilot
In short
An AI pilot is a small, time-boxed test of one AI use case with real users, real data and success measures agreed in advance. Its job is to show whether the idea works in your business before you spend more. A good pilot ends with a clear decision: scale it, change it or stop it.
How an AI pilot works
A pilot is like a trial period for a new hire. You do not sign a long contract after a good interview. You watch the person do real work for a short time and then decide. An AI pilot does the same for a tool or workflow.
A typical pilot has five parts:
One use case: a narrow task, such as drafting replies to common customer emails.
A baseline: how long the task takes today, how many errors occur and what it costs.
Success measures: agreed before you start, for example time per reply and customer satisfaction.
A fixed period: often 6–12 weeks, with a small group of users.
A decision: scale, adjust or stop, based on the numbers.
The article on how to run an AI pilot in 90 days walks through each step.
In practice for a small business
An online pet supplies store gets many repeat questions about delivery times, returns and sizes. The team runs an eight-week pilot. Two customer service staff use Claude or ChatGPT, together with a set of approved answers, to draft replies. A person edits and sends each one. They track time per reply, edits needed and complaints, and compare them with the four weeks before. AI drafting often cuts writing time by roughly 30–50%, but the only number that counts is the one you measure in your own pilot.
Why it matters and what to watch out for
Pick a contained task. Avoid pilots that touch every department. A small scope gives clear answers.
Measure the before. Without a baseline you cannot show any ROI.
Count all the costs. Include licences, setup time, training and the time people spend checking output.
Use realistic but safe data. Test with real cases and follow GDPR. Use business plans with suitable data terms and avoid unnecessary personal data.
Avoid the endless pilot. Set the decision date at the start. A pilot that never ends is a cost, not a test.