How to know your AI calls went well, without listening to all of them

Writing down what a good call sounds like

You write the standard for a good call in plain English, one line at a time. One line might read, asked for the caller's timeline. The platform can propose the first five to ten criteria by reading the agent's own instructions.

That list becomes the definition of a good call for that agent. Anyone who has listened to a call can read the list and see if it holds true. You still decide what matters, but you are not starting from a blank page.

Every transcript gets scored automatically

Every call transcript is scored automatically against the criteria set for that agent. This scoring happens as soon as the transcript arrives, not on a delay. You do not have to listen to every call to know how it went.

The scoring engine reads the same transcript you could read yourself. It does not guess from a summary, it works from what was actually said. That means every call gets judged by the exact same standard.

It never skips a call because the queue is long or the day is busy. That consistency matters most on the calls you never listen to yourself.

What a verdict looks like, including not enough evidence

Each criterion gets its own verdict, passed, failed, or not enough evidence. Each verdict also comes with a one-sentence reason explaining why. Not enough evidence counts as a real verdict, not a failed grade.

That keeps the standard honest when a transcript simply does not cover it. It also tells you where to tighten the criteria, not just how the call went. A verdict without evidence is a signal to improve the question, not the agent.

You see exactly which line passed, which failed, and which had nothing to check.

Building an automation by describing it

You can describe an automation in plain English and the platform builds it. It only uses the triggers and steps it is allowed to use. A built automation is capped at fifteen steps.

It is told that two to six steps is better than using the whole cap. Fewer steps are easier to trust and easier to fix when something changes. The cap keeps automations simple enough for someone besides you to understand.

Simple automations are also easier to hand off if someone else runs the account later. That balance favors clarity over cleverness.

The ready-made automations, and the two you start with

Eleven ready-made automations ship with the platform. They include missed-call text-back, speed to lead, appointment reminders, review requests and win-back. A new account starts with two of those loops already running.

One is missed-call text-back, and the other sends the owner a summary of every answered call. You do not have to build those two yourself before the account is useful. The rest wait until you decide you need them.

Together those two loops mean no missed call goes unanswered or unnoticed from the start. That means value shows up before you touch a single setting.

Campaigns across voice, text and email, and their limits

Campaigns run over voice, text or email, and each one is built the same way. The four steps are audience, agent, schedule and launch. You choose who receives a campaign, which agent runs it, and when it goes out.

Cold email will not send at all until the business has verified its own sending domain. Even after that, it goes out in small batches, at most twenty-five addresses at a time. That restraint is the point, not a limitation to apologize for.

The platform will not push a cold list faster just because you want it to.