AI voice calling · Voice robot · CRM
AI voice calling: 1,000 calls in 1–2 hours, every outcome in the CRM.
A voice AI calls through a database following the company's script: it talks like a live person, handles objections, determines the outcome and extracts the required fields from the transcript. After each call it creates a deal in the CRM at the right pipeline stage, assigns a task to a sales rep and attaches the call recording to the deal card. One solution, two deployments: warming up and qualifying a real estate developer's customer database, and finding car sellers on classifieds while posing as a buyer, for a consignment and trade-in car dealership.
1,000 cold contacts means 4–5 operators and a week of calling; 30–40% of outcomes never reach the CRM, operators burn out in 2 weeks
A voice AI calls through the database by script, handles objections, determines the outcome and creates the deal, stage and task in the CRM with the recording
1,000 calls in 1–2 hours instead of a week, 8–15× cheaper than operators, 100% of outcomes in the CRM, 0 operators, pays back with the first deal
What it does in numbers
The problem
Where a business loses money on manual calling.
- Calling 1,000 cold contacts by hand takes a week of 4–5 full-time operators and a full call center payroll. Speed is capped by headcount: at peak load it drops, and leads are missed.
- Sales reps lose 30–40% of their time calling warm contacts instead of holding meetings and closing deals.
- Call results never reach the CRM: 30–40% of outcomes are forgotten along with their context, so the next conversation with the customer starts from scratch.
- Operators burn out within 2 weeks under the stress: turnover, retraining, a broken script. A live person can't stay in character for 8 hours straight.
- Classifieds add one more barrier: listings show only a masked number, and a call "from a dealership" converts below 2%, as sellers hang up on the first sentence.
How it works
Five steps from a number in the database to a deal with a task in the CRM.
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We load the database, and the AI dials in parallel
A contact list from your CRM or an export from a classifieds site: the system queues the calls and dials in parallel, with no breaks, lunches or weekends. For classifieds, the queue is refilled daily by the criteria you set.
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Holds a scripted conversation like a live person
Answers questions, asks its own, arranges a meeting or the next step, and handles objections with prepared arguments. Short phrases, conversational markers, no scripted pauses: the person on the line doesn't realize they are talking to a robot until the call is over.
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Determines the call outcome
After each call, the system classifies the result: agreed to a meeting or an offer, declined, no answer. Each outcome leads to its own branch: a task, a retry or closure.
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Extracts data from the transcript
Not raw text but ready business fields: apartment type, finishing, purchase purpose, payment method, meeting date; or the seller's real number, the car's condition and the reason for selling. The sales rep sees right away who they are dealing with.
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Creates a deal in the CRM and assigns a task
The deal appears at the right pipeline stage with a summary and the call recording, and the sales rep gets a task with the right due date: "call back tomorrow" for no answer, "meeting" one day before the date. The team gets a notification, and unreached contacts go back into the queue for a repeat touch.
Capabilities
What the solution includes.
Scripts for every call outcome
Prepared branches cover 100% of cases: agreement, refusal, no answer. Each one leads to a correct CRM entry, so no call ends in "nothing".
A live conversation with objection handling
12 prepared arguments for common objections and a fallback offer if the person rejects the main one. The persona is tailored to the task: on behalf of the company or as an interested buyer.
Structured fields from the transcript
Up to 5 business fields are extracted automatically and go into the deal card: property details, purpose, payment method, date, real contact details.
A deal at the right pipeline stage
Correct stage logic for your specific CRM, duplicate handling, workarounds for internal limits. Not a bare-bones integration but a ready pipeline built for load.
Auto-tasks with the right due date
"Tomorrow" for no answer, "one day before the meeting" for agreement, "find options" for interest. The sales rep never forgets to call back or meet the customer on time.
Call recording and summary in the deal card
Each call recording is attached to the deal, with a short summary next to it. The sales rep gets the context in 30 seconds before contacting the customer.
Auto-assignment and notifications
The deal goes to the responsible sales rep and the supervisor with no manual routing. A new lead triggers a notification in the team's Telegram group with notes on the conversation.
A cascade of repeat touches
If there is no result, the contact goes back into the queue: a second touch after 1–3 days, then a third. Each touch has its own script and tone rather than one repeated message.
Economics
Before and after in one table.
| What changes | Before | After |
|---|---|---|
| Time for 1,000 calls | a week for a call center | 1–2 hours |
| People on the phones | 3–5 operators per stream on full payroll | 0: a sales rep joins in for ready leads |
| Cost of calling | every minute of operator talk time is paid for | 8–15 times cheaper at the same volume |
| Call outcomes in the CRM | 30–40% never make it, context is lost | 100% automatically, 0.5–1 s after the call |
| Operating hours | the call center is closed at night and on weekends, operators burn out within 2 weeks | around the clock, with no burnout or sick leave |
With the first deal. For a real estate developer, the margin on a single sold unit covers the annual cost of AI voice calling for 5–10 years ahead. At a car dealership, the margin on one consignment sale covers a year of the robot, and one AI agent replaces 10+ call center operators.
Where it's already running
One product, two calling scenarios.
Real estate developer · database warm-up with automatic CRM logging
100% of call outcomes land in the CRM with a stage, a task and fields from the transcript; 30–40% used to be lost.
Car dealership · calls to classifieds sellers posing as a buyer
One AI agent replaces 10+ call center operators and gets the seller's real number, bypassing the masked one in the listing.
Who it's for
Where the solution works.
Anywhere a database is called on a regular schedule and results need to be logged in the CRM automatically, with the right pipeline stage and a task for the sales rep. And anywhere mass cold calling with a high conversion to real contact details is needed, but live operators don't pay off.
What sets it apart
Why this isn't an off-the-shelf robocaller.
One engine, two scenarios
The same voice AI warms up a real estate developer's database and finds car sellers on classifieds. A new deployment means a script, a persona and a CRM integration, not building from scratch.
Writes to the CRM, not just calls
Off-the-shelf robots can make calls, but they don't put the deal at the right stage with a task and fields: the call happens, the data doesn't. Here the AI reviews the result, so no operator is needed.
A conversation, not a script read aloud
Short phrases, conversational markers, a persona tailored to the task and 12 arguments for objections. The person on the line listens to the end instead of hanging up at "hello, we have a special offer".
We'll call through your database in 1–2 hours, and every call's outcome will land in the CRM.
Free audit: in 30 minutes we'll show what your calling costs now, which scenario fits your database, and how every call's result will land in your CRM with a task for the sales rep.
Quiz · 6 questions · 1 minute
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