Moving an AI workflow onto your own infrastructure: the hard part is proving it matches
A company moving an AI workflow off OpenAI or Claude onto its own infrastructure asks what the hardest part is: getting it running, matching output quality, or proving it is reliable enough. The useful answer is the middle one — run both side by side on the same real tasks for a couple of weeks and score the results, so the switch is evidence-backed instead of a leap of faith.