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AI in operations: where to start

How to choose a first AI use case that is valuable, measurable and safe.

Pick a narrow, repetitive task

The best first use cases are high-volume, rule-heavy tasks where a human can easily verify the output — such as classifying incoming e-mails or extracting fields from documents.

Define quality up front

Build a test set from real examples and agree on acceptable accuracy before building. This turns a vague ambition into an engineering target.

Keep humans in the loop

Route low-confidence results to people, log decisions and review regularly. This supports quality and aligns with emerging EU regulation.

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