Deploying AI Inside a Bank Is Not an Engineering Problem — Paden Gayle, Applied AI Engineers

A bank's document exception assistant produces a convincing demo, but security, data owners and risk reviewers still cannot approve it. Paden Gayle uses that hypothetical project to show why a working model does not establish a route into production. The missing decisions concern where the system runs, who authorized the documents, who reviews a wrong exception and which existing controls the workflow must satisfy. Drawing on his engineering experience, Gayle makes discovery part of the build: find the people who own those decisions in the first week, then define the smallest useful system they can evaluate. When a customer cannot supply a complete specification, his method is to shadow the work, draft a concrete workflow and shrink it with the control owners. Autonomy starts with the least authority needed to solve the problem. A drafting assistant can gather evidence about errors, overrides and recovery before anyone grants it permission to take further actions. Gayle also outlines an evidence pack covering intended use, data lineage, failure modes, results by segment and accountable controls. Original inputs and outputs belong in that record; rerunning a model later cannot reconstruct exactly what happened. Aggregate performance can conceal a poorly supported document type or user group, so weak segments need explicit restrictions. The closing checklist turns unresolved approval decisions into named owners and next steps. It is a planning aid for deployment, rather than a claim that the illustrative bank project shipped or that a checklist guarantees approval. Speaker info: - https://www.linkedin.com/in/padengayle/ - https://padengayle.com/ Timestamps: 00:00 - A working bank demo that still cannot ship 1:27 - Finding the people who own approval 5:47 - Shadow, draft and shrink the workflow 8:42 - Start with the smallest necessary authority 9:57 - Scoping the hypothetical exception assistant 12:21 - Five files for the evidence pack 13:37 - The first week deployment checklist