Paden Gayle uses a hypothetical bank document-exception assistant to explain why a successful demo can still fail to ship. Data access, permitted use, model-risk review, third-party dependencies and audit requirements each need an identified decision-maker; a technical ability to query documents is not permission to use them in a new workflow.
Paden Gayle turns discovery into a specification by shadowing analysts, drafting a concrete workflow and shrinking the first version. Highlighting likely exceptions and preparing a form for a human to check and submit can create useful value with less authority than autonomous filing, but human review alone does not guarantee institutional approval or settle a regulatory classification.
Paden Gayle proposes an evidence pack covering intended use, data lineage, failures and fallbacks, segmented evaluation results and controls with named owners. Preserve the original inputs, configuration, model outputs and reviewer actions so a past decision can be reconstructed rather than re-created by calling the model again. Weak or under-evidenced document groups require explicit limits, and a week-one readiness checklist is a planning heuristic, not a forecast of approval.
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