Procurement checklists for government voice AI run long: languages, integrations, uptime, security. Useful, but easy to game with a good demo. If you only get to ask one question about accuracy, ask this:
When your system gets something wrong, when does it find out, and what does it do about it?
The answer sorts the field fast.
The answers you will hear
"We record every call and review transcripts." Translation: it finds out later, if a human happens to sample that call, and it does nothing in the moment. That is a records system, not oversight.
"We have a confidence threshold and escalate low-confidence answers." Better, but confidence is not correctness. A model can be confidently wrong, and a threshold alone will not catch an answer that is fluent, plausible, and false.
"A live process checks each answer against our approved content and can correct or escalate during the call." That is the one you want. It means the system finds out in the same second the resident would have, and it can act before the resident does.
Why the timing is the substance
Everything about voice makes delayed oversight worse. The resident hears one answer, cannot cross-check it, and acts immediately. So the meaningful variable is not whether a vendor does QA. It is the latency between the wrong answer and the system knowing. Real-time collapses that latency to zero. Transcript review leaves it at hours or days, which for the resident is forever.
A short follow-up that seals it
Ask to see it. "Show me your system catching a wrong answer on a live call." A vendor with real-time oversight will walk you through an intervention. A vendor without it will pivot to their dashboard. The pivot is the answer.
For the fuller checklist, see what you don't see in vendor demos; for the mechanism, real-time oversight. Ready to run the test on us? Book a demo.
