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Overview›Automation Overview
automation overview
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Rules
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aito..
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Manual
_search_evaluate
How it works
Per-field accuracy on this page is real — it comes from Aito's _evaluate with
Unlike traditional ML, aito.. needs no feature engineering, no model selection, no deployment — predictions come directly from the database, and so does this evaluation.
select: ["cases"]. We hold out each row, predict the field from supplier + description + amount, compare to ground truth, and bucket by confidence band. Predictions ≥ 0.85 are the auto-approve zone; lower bands flag review work.Unlike traditional ML, aito.. needs no feature engineering, no model selection, no deployment — predictions come directly from the database, and so does this evaluation.
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