Turning captured activity into billable time means knowing which project each hour belongs to, and being able to trust that answer.
TimeCampus scores each captured interval against your own project names and rules first, then lets a model refine the match. Either way the result is a suggestion, labelled with how it was made and how confident it is. It becomes the real project only when you accept it.
Corrections you make are remembered and applied to similar hours, so the labelling gets more accurate as you use it, and a machine guess is never mistaken for your decision.
Illustrative scenario — the persona and any figures are examples, not customer data.
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