AI looks great in demos and variable in real life. A short, well-scoped pilot tells you what's worth building before you commit real money.
A demo works on the examples the demo was built for. Your business has messier data, odd edge cases and people who need to actually use the thing. A pilot is how you find that out cheaply.
'Use AI in customer service' is a strategy, not a pilot. 'Draft first replies to our ten most common support questions' is a pilot. Choose something frequent, boring and measurable.
Before you start, write down what success means: time saved per task, share of drafts accepted without edits, fewer errors. Without a yardstick, every pilot looks promising.
Use genuine examples, including the awkward ones. Ask the people who'll use it to try to break it. Their feedback is worth more than any benchmark.
Four to six weeks is usually enough. At the end the answer is build, adjust or stop, and stopping is a perfectly good outcome that saved you the full cost. For a view of what tends to make it to production, read our piece on AI agents for small businesses.
We can scope a small pilot with clear success measures and a straight answer at the end.
Start a conversation →It depends on scope, but a good pilot is deliberately small compared with a full build. We'd quote after understanding the problem.
Sometimes, if it's built with production in mind. Often it's rebuilt properly once you know what works.
