OpenAI for business
Evaluate an OpenAI model upgrade before rollout
Compare a new model on your own work rather than release headlines.
Define success first
Build a de-identified set of customer questions, including missing details, complaints, outdated prices and unauthorized-data requests. Specify acceptable outcomes before comparing models so that polished wording does not change the scoring standard.
Evaluate the complete workflow
Score factual accuracy, tool arguments and appropriate uncertainty. Measure latency and cost per successful task. Longer answers may slow the conversation, while cheaper calls can increase total cost if they need more human correction.
Roll out gradually
Send a limited share of comparable traffic to the new configuration and retain a rollback path. Pause expansion if booking errors rise or Arabic quality falls. A model announcement starts an evaluation; it does not automatically justify replacing a working service.
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