Turnkey rollout · The entire sales team
AI sales stack: from first touch to quality control.
Five modules that cover the entire customer journey. AI replies to inbound inquiries within 30 seconds in any channel. It calls your database by voice without operators. It trains sales reps on simulations. It listens to and scores every real call, then writes the result straight into your CRM. Deploy the whole stack or one module at a time, starting where you lose the most.
What changes in numbers
The problem
Your sales team is leaking in five places at once.
- Inquiries arrive around the clock, but replies come only during business hours. A request at 10:40 PM or on Saturday waits until Monday. By then, the customer is already talking to a competitor.
- The contact database sits idle. People who showed interest six months ago never get a follow-up. There is no one to call them manually, and it doesn't pay off.
- New reps learn on live leads. Every mistake on a real call is paid advertising spent on training.
- The head of sales listens to one in five calls. Nobody reviews the rest, so the team doesn't know at which stage deals fall apart.
- Results never make it into the CRM. Agreements stay in the sales rep's head or notebook, and the pipeline doesn't show what's actually happening.
What's inside
Five modules of the stack.
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First touch — an AI sales rep in your channels
Classifieds marketplaces, social media, Telegram, WhatsApp, website. It replies within 30 seconds at any time of day, understands voice messages, answers from your knowledge base, follows up with people who went quiet, and hands a warmed-up customer to a live sales rep with a conversation summary.
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AI voice calling — a voice instead of a call center
It calls your cold database, reactivates people who left without buying, and confirms bookings and meetings. It speaks, hears objections, and holds a conversation. A thousand calls take a couple of hours, at $0.10–0.30 per call instead of an operator's salary.
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Training simulator — reps learn without practicing on customers
A sales rep calls a virtual customer and practices handling objections in a simulation. The conversation is scored against your quality scorecard, and spoken feedback comes right after the call. Onboarding a new rep drops from 1–2 months to 1–2 weeks.
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Quality control — every call, not a sample
Every real conversation between a sales rep and a customer is scored against the same scorecard used in training. The head of sales sees the full picture, not a random twenty percent: who fails at needs discovery and who doesn't move the deal to the next step.
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Processes and CRM — so it all lands in the pipeline
The result of every touch goes into your system: deal, stage, task, audio recording, and structured fields from the conversation. We also put the processes themselves in order: guidelines, automatic reminders, and reports for team meetings.
Proof
Every module already runs at client companies.
The stack isn't built from a slide deck. It's built from solutions running in production right now. Each module is a separate case with numbers.
AI sales rep on classifieds
Five channels on one platform, replies in under 30 seconds. Rolls out to a new dealership in 3–5 days.
AI voice calling of your database
1,000 calls in 1–2 hours, a cascade of three touches, $0.10–0.30 per call.
Cold lead reactivation
A full outreach cycle across the pipeline in 26 minutes, personalized in-stock picks every 3 days.
Training simulator built on your scorecard
Spoken evaluation right after the call, results logged in the head of sales' spreadsheet, scenarios that never repeat, an AI coach that targets each rep's weak spots.
Call control
Every conversation in one spreadsheet, 100% coverage, 3+ years in production without downtime.
Automatic CRM logging
Half a second from the end of a call to a deal in the pipeline. Stage, task, audio, and fields from the transcript.
How it works
What the rollout includes.
One scorecard for training and control
The training simulator and quality control use the same scorecard. Reps are trained on exactly what they're later evaluated on, and you can see whether a skill carries over from simulation to real calls.
Modules deploy one at a time
You don't have to take everything at once. We start with the biggest leak, show results there, and then expand. Each module is self-contained and works without the others.
Your CRM and your telephony
We plug into what you already have and don't force a migration. If there's no public API, a robot works through the interface. We've had a case like this running for three years.
Live knowledge base
Price lists, availability, terms, and scripts live in regular Google Docs. Change them there, and the AI starts answering the new way the same day, without contacting a contractor.
Escalation to a human
The AI runs the conversation until a live sales rep is needed, then hands it over with a conversation summary. A sales rep can take over any conversation at any moment with a single command.
Reports for team meetings
Exports to Google Sheets follow the structure of your existing reports. The head of sales doesn't have to rebuild formulas or get used to someone else's interface.
No "black box"
Every score is backed by a verbatim quote from the conversation. The final score is calculated by code, not by the language model. You can double-check the number and rely on it for bonuses.
Support after launch
We fine-tune based on feedback from your sales reps and head of sales: we adjust wording, add objections, and refine scenarios to match how conversations actually go.
Economics
Before and after in one table.
| What changes | Before | After |
|---|---|---|
| Reply to an inbound inquiry | 5–15 minutes during business hours | under 30 seconds, 24/7 |
| Calling the database | 3–5 operators on payroll | $0.10–0.30 per call |
| Sales rep training | a trainer on a schedule | voice simulator 24/7 with feedback |
| Call review | 20–30% sample, manual | 100% automatic, by scorecard |
| Conversation results in the CRM | 30–40% lost | all of it lands in the pipeline |
Companies usually start with the module where losses are easiest to measure. If inquiries go unanswered, start with the AI sales rep in your channels. If the database sits idle, start with AI voice calling. If the team misses its targets despite normal traffic, start with the "training simulator + quality control" combo. That's exactly what we work out in the free audit.
Who it's for
Where the stack makes an impact.
Anywhere with a flow of inbound inquiries, an accumulated contact database, and a sales team that lives on calls and messages. The industry only shapes the content of the knowledge base and the scorecard. The logic of the stack stays the same.
What sets it apart
Why this isn't a set of disconnected subscriptions.
The modules know about each other
Quality control shows which skill a sales rep is weak in, and the training simulator starts giving that rep exactly those kinds of customers. Standalone services simply don't have this loop.
One contractor for the whole stack
No need to stitch together a chat platform, a calling service, an LMS, and a CRM integrator. One point of responsibility for data getting from the channel to the pipeline.
Built for you, not configured out of the box
The scorecard, objections, scenarios, and CRM fields come from your business. After that, the head of sales edits them through the admin panel, with no tickets for a developer.
We'll review your sales team in 30 minutes.
A free audit: we'll find where exactly you lose inquiries and money, which module is best to start with, and how much the stack will save you per year. No commitments and no forty-slide presentations.
Quiz · 6 questions · 1 minute
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