AI
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.
