In the past two years almost every company has kicked off an AI pilot. Yet most of those pilots got stuck at the demo stage. The cause is rarely a weak model; it is a scope drawn wrong from the start.
1. Pick one workflow and own all of it
The most common pilot mistake is trying many use cases at once, all of them shallow. Telling five departments “you can ask this too” means taking responsibility for none of them. After the first wrong answer, users stop trusting the tool.
Instead choose a single flow — incoming invoice processing, for example — and own it from beginning to end: document intake, field extraction, validation, transfer into your systems and exception handling.
2. Define success in measurable terms on day one
“Making the team’s job easier” is a wish, not a goal. Before a pilot starts, these three questions should have numeric answers:
- How many times a month does this flow run today, and how long does each run take?
- What share do we expect to complete without human intervention?
- What does an error cost, and who will notice it?
Without those answers, nobody can say whether the pilot succeeded — and the person holding the budget will not renew it.
What kills a pilot is usually not a bad result, but a result nobody can measure.
3. Design for exceptions from the start
A demo always runs on ideal data. Real life brings missing fields, poor scans and cases outside the rules. In every flow we build, the exception path is defined on day one: when the system is not confident it does not decide, it hands the work to a human and records why.
So how long should a pilot run?
Four to six weeks. Anything shorter does not give the flow time to meet real data; anything longer burns the organisation’s attention. At the end you should hold a working release a small team actually uses — not a presentation.
Frequently asked questions
How long should an AI pilot run?
Four to six weeks. Anything shorter does not give the flow time to meet real data; anything longer burns the organisation’s attention.
How do you know a pilot succeeded?
Before the pilot starts, three questions should have numeric answers: how many times a month the flow runs, what share is expected to complete without a human, and what an error costs.
