A bank kiosk agent only needs to recognize a small, stable set of exact commands such as balance and hours, then open the matching topic. Which understanding approach fits?
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Short Explanation
Two labeled buttons on a kiosk do not need a linguistics lab. You use standard trigger phrases for the stable exact commands balance and hours. An open-ended interpreter for those two words adds machinery the kiosk does not need.
Full Explanation
Standard trigger phrases fit a small, stable set of exact commands. Balance and hours each open a known topic, the wording does not wander, and the bank is not asking the agent to interpret an open question. A conversational language understanding project with a large labeled set for only those two commands builds an intent model the phrase list already replaces. Generative orchestration that treats each command as an open question adds a model judgment where the kiosk only needed a direct match, and it can wander off the two topics. Computer Use that drives the core banking screens when the customer types balance confuses understanding the command with operating a system that was not part of the request. The topics behind the phrases can still call a tool for the balance. The understanding step itself stays a trigger. Exam caveat: trigger phrases are the wrong tool when the phrasing explodes or the intent set will not stay still. Neither of those is true on this kiosk. Operational check: submit balance and hours and confirm each opens only its topic, and confirm no extra understanding project is in the path.