Do we need our own data, or can you help us gather it?+–
Depends on the use case. We'll assess what you have and what's needed before committing to an approach.
Will you fine-tune a model, or use an existing API?+–
Whichever actually solves the problem cheaper and faster — fine-tuning isn't always the right answer, and we won't default to it just because it sounds more impressive.
How do you handle hallucinations or bad outputs?+–
Evaluation and guardrails get built in from day one — including cases where the right answer is "we don’t know."
What does "production-ready" AI actually mean here?+–
Monitored and cost-controlled after launch, evaluated against real cases instead of a notebook that worked once.
Can this run on our own infrastructure for compliance reasons?+–
Yes — self-hosted and private deployment options are common for regulated industries.
How do you measure whether the AI feature is actually working?+–
Defined upfront, per use case — accuracy, latency, cost, or whatever the actual success metric is for your use case.
