Pricing

Priced after we’ve seen how you sell

There is no sign-up button. Every engagement starts with a sales-process analysis, because what your AI setter has to collect — and what it has to do next — is different in every business. The figure comes out of that analysis, on the call. Two ways to work together:

6-month partnership

shorter commitment

The full engagement — analysis, custom build, and fine-tuning against real conversations — over a six-month term.

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How the deal is shaped:

A one-time build fee up front
Covers the sales-process analysis and the custom build
Then a monthly amount for the rest of the term
Everything on this page is included — nothing is tiered off

For a team that wants a shorter runway before committing further.

12-month partnership

lower over the term

The same engagement over twelve months, with more runway to keep tuning the setter as your offer and your objections change.

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How the deal is shaped:

The same one-time build fee structure up front
A lower monthly than the 6-month term
Works out lower over the term
Everything on this page is included — nothing is tiered off

For a team that already knows this is how they want to run their DMs.

We don’t publish a figure because we’d be guessing at yours. What the build fee and the monthly come to depends on what the analysis finds — how many channels you run, how much your process asks the AI to collect, and where the lead has to land afterwards. You get both numbers on the call, before anything is agreed.

Why it’s built, not bought

One size does not fit anyone

Every other tool in this category does the same thing: it replies to a DM, drops a link, and stops there. Whatever happens between that link and your CRM is your problem — which is exactly where leads die.

We do it the other way round. We analyse your sales process first, build the setter around it, and then keep tuning it against real conversations. The AI collects whatever your process actually needs and performs the action that process needs next — so leads are fed into the way you already work instead of having a step bolted onto it.

Sales-process analysis

Before anything is built we sit down with how you actually sell — where leads come in, what your team needs to know before they'll touch a lead, and what happens to that lead the moment it's qualified. That's the part every other tool skips.

A custom build

Then we build your setter around that process: what it says, what it has to collect, which channels it works, and what it does with the lead at the end. Not a template with your logo on it.

Fine-tuning on real conversations

Once it's live we tune it against the real threads — the objections it fumbled, the questions it should have asked, the moments it should have handed off. A setter gets better the same way a human one does.

Where the lead lands

A booked call is one ending. It isn’t the only one.

These are examples of endpoints we build, not a menu to pick from — yours comes out of the analysis.

Straight into a text conversation

A US-focused training business needs phone numbers, so the AI collects the number in the DM and the conversation carries on in their CRM by text — "hey, I just shot you a text." The lead never notices a handoff happened.

Handed to a human setter to call

A business running phone setters doesn't want a booking link — it wants the lead's details, their answers and their context in front of a setter who's about to dial. So that's what the AI produces.

Booked straight onto the calendar

Plenty of clients do want the meeting on the calendar with no human in between, and we build that too — with the booking traced back to the exact conversation that produced it.

Channels

Where your setter works

Instagram DMs

The full AI setter — qualifying, objections, voice notes, handoff.

Facebook DMs

The full AI setter on your Page's business inbox.

Instagram & Facebook comment→DM

A keyword in the comments opens the DM automatically.

Built and ready to switch on once your Meta business approval is in place — it then runs through the same setter and the same inbox.

Conversations run through the same setter and the same inbox.

X (Twitter)

Posting and public replies.

Which of these your build uses is part of the analysis â most businesses don’t need all of them.

The part nobody else ships

Your setter replies with a voice note — in your own voice

You record about a minute of yourself, once. From then on your setter decides when a spoken reply will land harder than typing — a warm welcome, a nervous objection, the moment it locks the next step â and sends one. It’s genuinely your voice, your pacing, your warmth, sent on your behalf. A voice note reads as high-effort and one-to-one in a way text cannot fake — it carries reassurance and warmth into a moment where every competitor is sending another paragraph.

You set how eager it is

A slider from “only reply in voice if they sent one” all the way to voice-first, with a plain-English description of exactly what each step does.

It listens too

Inbound voice notes are understood, and several sent back-to-back are picked up together and answered once â not fired at one by one before they’ve finished their thought.

It never stalls

If a voice note can’t be sent, the reply falls back to text â and the fallback is recorded, so a voice problem shows up as a problem instead of quietly becoming text forever.

Voice notes send on Instagram today; on other channels your setter replies in text.

What you’re getting

The whole platform, on both terms

Nothing below is held back for a higher tier — the build decides how much of it your process actually uses.

The AI DM setter

It holds a real conversation: asks the qualifying questions your process needs, handles objections, answers off-script questions from what you've taught it, and drives to whatever your next step actually is — a call, a phone number, your site, a webinar, or your door. Your own opt-in keywords decide which conversations it answers, so your personal DMs stay yours.

Comment→DM funnels

Someone comments your keyword on a post or Reel and the DM opens seconds later — with an opener that can be written per commenter rather than the same robotic line a hundred times. The public reply stays tiny ("sent you a dm 👀"); the pitch happens in the inbox. Keywords match whole words, so a passing mention is never treated as an opt-in.

The Brain

A knowledge library your setter draws on mid-conversation — program details, schedules, logistics, proof. Type facts in, or paste a URL and it drafts entries for you to approve. Thumbs-down a bad reply and it lands in Review misses, where one click teaches the right answer for every future conversation.

Flows & automations

A visual builder — a clean top-to-bottom tree or a free-form canvas — for the structured opening moves: deliver the link, tag the lead, notify the team, then hand the thread to the AI. Triggers include a keyword in a comment or a DM, a story reply, an @mention, a lead going quiet, or another tool POSTing a lead in.

The inbox, with human takeover

Every conversation across every connected account, refreshing live. Leads, Suggested, Needs attention (failures, AI handoffs, and anyone waiting too long, worst first) and All. Each conversation has its own AI switch — and typing a manual reply pauses the AI automatically, so you never talk over your own setter.

Lead scoring & qualification

Every lead is scored hot, warm or cold as the conversation happens, with a short "why it's hot" line so whoever picks it up walks in with context. A separate lane holds leads whose free-reply window has closed but who are still reachable, so the last allowed follow-up goes out before they're gone for good.

Missed-lead recovery

An AI pass back over conversations that never became leads, flagging the people who showed real buying intent and the reason they were flagged. It also recovers the sneaky ones: people who messaged while an account was disconnected, whose messages never reached the platform in the moment.

CRM & webhook integrations

The DM is the form. A flow step POSTs the lead's name, handle, phone, email, consent, every captured qualification field and their tags to any URL — your CRM, GoHighLevel, Zapier, a sheet — so the record is created without the lead ever filling anything in. Inbound webhooks work the other way: your tools can push a lead in and start a flow. Slack and Discord alerts included.

Booked-call attribution

Booking links carry the handle and the exact thread that produced the lead, and your calendar webhook (GoHighLevel, Calendly, Cal.com, Acuity, or anything that can POST) marks the conversation booked. "Booked" becomes a fact confirmed by your calendar instead of the AI's best guess — and your setter stops nudging someone who has already booked.

Broadcasts

One message to many open conversations — a reminder, a flash offer, a doors-close. Eligibility is checked when you compose and re-checked at send, so nobody outside the platform's allowed window is messaged, and conversations a human has taken over are never interrupted.

Stack Advisor

The trending-content engine: content ideas grounded in what's actually working right now in your space, rather than a blank composer and a guess. Take the winner straight into the Studio, write it up, and arm its funnel in the same breath.

Posting & the Content Studio

Write once, publish to Instagram, Facebook, LinkedIn, Reddit and X — the composer holds you to each platform's own rules (carousels, titles, character limits, media requirements), handles collaborators, alt text and tagging, and queues posts for your posting times. On Instagram and Facebook you arm the post's comment→DM funnel in the same step, so the post and the funnel are born together.

DM greeters

Up to four tappable questions sitting at the top of your Instagram DMs for anyone who opens the thread cold. It catches the lead who was curious enough to open your inbox but didn't know what to say — they tap, and your setter takes it from there.

Team seats, roles & access

Invite setters, closers and VAs with owner / manager / member roles, and restrict any member to specific connected accounts — they'll see only that profile's conversations, leads, numbers and exports, everywhere in the app. Ownership can be transferred without interrupting anything.

Analytics & exports

Leads, qualified, booked and book rate; where your booked calls actually came from; your setter's response speed; an activity heatmap and a per-platform split — filtered to whichever account you're looking at. Leads export to CSV with any captured email and phone attached.

Platform rules, built in

Messaging windows, send pacing and eligibility are enforced by the product rather than left to you to remember. If a message can't be sent compliantly it isn't sent, and the reason is recorded instead of disappearing.

Every other tool answers the DM. We build the thing that carries the lead the rest of the way.

The call is the analysis starting — we look at how you sell today, what your setter would have to collect, and where the lead has to land. You leave it knowing the shape of the build and both figures.

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