An AI pilot is useful when it supports a concrete decision: is this system worthwhile for a particular task? A general product success or failure percentage does not answer that question. We have removed unsupported percentages previously included in this article.
1. Choose a task
Start with a clear process, such as finding an internal policy, summarising a contract clause or drafting an email. Record the current handling time and sources of error. A well-written answer does not by itself demonstrate economic value.
2. Check sources and permissions
Decide which documents may be used. Test multiple roles, including information that should remain inaccessible. Check how permission changes synchronise. Every AI platform, including Thero, requires this preparation.
3. Measure quality and limitations
Use questions with known answers and questions your documents cannot answer. Evaluate accuracy, traceable citations and handling of missing information. Include time spent checking and correcting output. AI can produce incorrect claims even with citations.
4. Record total costs and usage
Include implementation, licenses, operation and internal support. Observe actual usage during the agreed pilot period. Additional work capacity is not automatically reduced expenditure. The value calculator makes assumptions visible but does not replace measurement.
5. Decide what follows
Set success criteria and a stopping point in advance. Address identifiable data or adoption issues before drawing conclusions about an entire product. A Thero demo helps you discuss possible tasks and data sources for this evaluation.
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