AI campaignsPost-call scorecardsLive in-call coachingLearns from your edits

An AI that sells. Not one that summarizes.

Three distinct things: an assistant that works your leads over text and email until they're ready to talk, a coach that scores every recorded call, and a second pair of ears on live calls that surfaces the objection handling while it still matters.

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AI campaigns

The assistant that never clocks out

Switch it on and it reaches out, follows up, answers questions, and hands the hot ones back to you. Every lead, every day, no dropped follow-up.

It writes the replies

When a prospect responds, the AI answers in context — reading the same thread your reps see, in your voice, handling the question or the objection.

You approve the outreach up front

On SMS campaigns, the cold touches that go out before anyone replies are written by the AI at setup and approved by you, word for word — a campaign can't go live until every one has your sign-off.

It knows when to stop

It stops on an opt-out, on a reply, when the window closes, or when it's reached its touch limit. Once a real conversation starts, the limits lift — a live back-and-forth is never throttled.

It books the meeting

Once someone signals they're ready, it can offer real open times from your calendar and write the appointment straight onto it — no link, no back-and-forth.

Why the cold messages are pre-approved

A design decision worth explaining

This is the most important thing on this page, and most vendors wouldn't put it in writing.

What everyone does

Ask a language model to “move the conversation forward” with a prospect who has never replied. There is nothing to respond to, so the model fills the silence — sometimes by inventing the prospect's half of the conversation and texting it to them.

We know this because it happened to us. No filter fixes it reliably. The only fix is not generating.

What we do instead

The AI's creativity happens once, at setup, where you read every proactive message and approve it. Those approved messages are what go out to someone who hasn't replied yet.

The moment a prospect actually says something, there's real context to work with — and the AI writes freely from there. If a message is somehow missing, it sends nothing rather than improvise.

It learns your voice

From your corrections, not from a questionnaire

Reject a message and tell it why. Edit one before it sends. Those corrections get distilled into standing instructions that shape every message your team sends afterward.

Corrections compound

Your recent edits and rejections are summarized into a working set of preferences and applied to future drafts. Fix something once; it stays fixed.

It doesn't sound like an AI

Drafts get scanned for the tells — em dashes, “delve,” “seamless,” assistant-speak. Anything implying the sender is a bot is blocked outright, not softened.

You choose how much rope

Approve every message, approve the first few per prospect and then let it run, or let it send on its own. Your call, per campaign.

Coaching on recorded calls

A scorecard on every call, without a manager listening to any of them

The call ends, gets transcribed with both sides separated, and comes back scored. No one has to sit through it.

Five scores, one to ten

Pace, Calm, Empathy, Closing, and an Overall — so a rep can see the shape of a call at a glance and a manager can spot a pattern across a week.

And the things that actually matter

The objections they hit, the buying signals they may have walked past, the risk factors, what the customer was actually trying to do, and a concrete next step.

Suggestions, not just scores

Specific improvement notes tied to what happened on that call — the difference between “you scored 6 on closing” and knowing what to do differently.

Live coaching

A second pair of ears, while it still matters

Coaching after the call is a lesson. Coaching during the call is a save.

It hears both sides

Live audio from the call is transcribed as it happens, both halves of the conversation, and appears on screen while the rep talks.

It suggests the move

Objection handling, the next step, a closing technique, a product point. Short and specific enough to use mid-sentence — and it stays quiet when there's nothing worth saying.

It reads the room

A live sentiment meter, a talk-ratio bar, and a trend line across the call — so a rep can see it turning, or see that they're doing all the talking, before they feel it.

It learns what you find useful

Rate a suggestion up or down and future suggestions shift toward what that rep actually uses. This one's personal to each rep, not shared across the team.

It cannot break your call

Live coaching runs on an audio path deliberately isolated from the dialer’s answering-machine detection, and every step is fire-and-forget. If the coaching fails, it fails silently and the call goes on. Coaching is never allowed to become a reason a call drops.

More to explore

Related features

Questions

Common questions

Does the AI pretend to be a person?

It writes in your voice and it's built not to sound like software — that's the point of the guardrails. It won't claim to be a specific human being, but it also won't announce that it's an AI unless you tell it to. Where you are and what you sell may carry disclosure obligations, so that's worth a look at your own rules before you switch it on.

What model is behind it?

Anthropic's Claude, throughout. Faster models handle message drafting and classification; stronger ones handle call analysis and live coaching, where the reasoning matters more than the milliseconds.

Will the AI hand a conversation back to a human?

Only when you tell it to. You can set a campaign so that any reply exits to a rep, mute the AI on any individual thread with one click, or have it stand down automatically once someone becomes a customer. What it won't do is decide on its own that it's out of its depth — a human stays in charge of that call.

How often does live coaching interrupt?

The transcript streams continuously, but suggestions are deliberately rate-limited — roughly one every fifteen seconds at most, and only when there's something worth saying. The model returns nothing at all when the call doesn't need help. A coach talking in your ear nonstop is worse than no coach.

Does it measure talk-to-listen ratio?

Live coaching shows a talk-ratio meter during the call, so a rep can see in the moment that they're running the conversation. It isn't one of the five post-call scores — the scorecard covers pace, calm, empathy, closing, and overall, plus objections, buying signals, risk factors, customer intent, and next steps.

Do you need call recording on for this?

For post-call scorecards, yes — there has to be a recording to analyze, and recording is off until an admin enables it. Live coaching works on the live audio stream.

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