Articles
An AI log you cannot retrieve is not an audit trail A logging feature is useful only if the organisation can recover the records it needs. Test access, export, retention and contract-exit retrieval before buying a system that must support consequential decisions. Do not give every demand forecast a human override Human input improves some demand forecasts and weakens others. Define what planners may contribute, preserve the original forecast and test the intervention policy against inventory and service outcomes. Automate the interview script, not the hiring decision A voice agent may standardise early interview evidence, but candidate participation and later work outcomes determine its value. Test information collection separately from scoring, with a person accountable for selection. Give AI the creative queue, not the campaign budget Generative AI can broaden the creative ideas available for advertising tests. Assess approved variants through conversion and later customer quality before deciding which deserve further spend. Faster junior drafting needs an apprenticeship control Better assisted drafts do not establish stronger professional judgement. Assess the capacity benefit while separately testing the unaided review capability the practice needs to maintain. Let AI fill the product-information gap before it rewrites the catalogue AI product descriptions may help where buyers lack decision-relevant information. Prioritise those gaps, generate from verified attributes and test purchase outcomes alongside returns and correction effort. A confidence threshold belongs to the model version A replacement model can change which cases reach human review even when accuracy improves. Validate its score-to-outcome relationship and approve a new operating point before reusing the previous confidence threshold. Put the AI copilot beside the newest service agents first Service-copilot benefits can differ by experience and issue type. Test where assistance could close an experience gap, and measure resolved work, repeat contacts and quality before wider rollout. A drift alert is not a performance alarm A changed input distribution does not establish that a model is performing worse. Use drift signals to target investigation and fresh labels, then base retraining or withdrawal on evidence about outcomes. An approval expires when the state it describes changes An approved action can become inappropriate while it waits to execute. Preserve the reviewed proposal and its material state conditions, then reject execution when those conditions no longer hold. Synthetic data is not one training policy Assess generated training data through its retention, sampling and verification policy. A synthetic percentage alone cannot show whether later runs preserve source coverage or compound the generator’s errors. Every agent retry needs the same operation ID A tool timeout leaves the outcome uncertain. Give each intended operation a stable identity and a reconciliation path so retries can recover the result without repeating a business effect.
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