Most voice bots are as good on day 500 as on day one. This one turns what your people say into answers, tests every change against real scenarios before it reaches a caller, and keeps every version so you can go back.
Every step is optional and starts off, so nothing changes until you decide.
When a call is handed to your team, the person's side can be transcribed (the cost is shown before you switch it on) and the answer is kept as a memory, with a feedback form that asks the person what the assistant should have said.
Learned answers are distilled on a schedule and quoted by the assistant when the same question returns, with the source kept so you can review or remove it.
A second model is asked the same thing in the background and the answers are compared by a judge. The caller never hears the test.
Scripted caller scenarios (must say, must not say, must transfer) run against an assistant before a prompt change goes live. A scenario that used to pass and now fails blocks the change.
Each change to a prompt is saved. Compare, restore, or run two versions side by side on live traffic with a chosen split.
A quality queue flags replies that look wrong (made-up numbers, impossible dates, absolute promises) for a person to confirm or dismiss.
A synthetic caller places a short real call every few minutes and checks the greeting, the answer time and a clean hang-up. Two failures in a row raise an alarm.
If a language, speech or voice provider fails, turns move to a backup you configured, and a circuit breaker stops retrying a dead provider.
After each software update the platform tests its database, call engine, turn pipeline, language model and voices, and rolls back by itself if something critical fails.
Daily limits and quotas per assistant, spend by day, model and call, and a way to try a cheaper model on a share of traffic.
Bring a few calls your team had to take. We will show what the assistant learns from them and how a change is tested before it reaches a caller.
Book a demo