Voice robot for campaigns
The robot handles routine outbound calls — reminders, confirmations, surveys, database reactivation — following a script and freeing agents for complex conversations.
Sheet 4.4 — industry nodeCall centers · outbound & QA
AI for call centers and outbound calling
Call center agents burn out on repetitive dialing, while managers can't keep up with quality control. AI implementation — a voice robot for outbound campaigns and speech analytics across 100% of calls — removes the routine and makes monitoring continuous. Let's discuss your call volume in a free automation map.
NODE 1What AI covers in a call center
Tasks AI solves in a call center
When call volume runs into thousands a day, live agents can't keep up with the routine, and sample-based QA misses problems. AI closes four bottlenecks.
Speech analytics on 100% of calls
AI scores every call instead of a sample: script compliance, objection handling, reasons behind lost deals. Managers see an objective picture across the entire call center.
Inquiry classification
AI recognizes the topic of an incoming inquiry and routes the customer to the right line — or resolves a routine question with a bot right away, reducing the load on agents.
Removing the routine
Repetitive, same-type calls go to the robot, while agents focus on conversations that require a human touch. Less burnout, lower turnover.
NODE 2Implementation sequence
How implementation works
Implementation runs in stages: first a free automation map, then a pilot of one scenario with measured results, then scale. You pay for measurable results, not for technology.
- 01 · MAP
Automation map in 14 days
We break down your call scenarios and quality control, and show what can be handed over to a robot. Free, no strings attached.
- 02 · PILOT
Pilot of one scenario
We launch a voice robot on one campaign or speech analytics on one line in 2 weeks, with measured results.
- 03 · SCALE
Scale and ongoing support
We roll out to all outbound scenarios and lines, integrate with telephony and CRM, and run the system.
TABLE 1Implementation cost
How much AI implementation for a call center costs
You start with a free automation map. From there you pay for measurable results in numbers, not for technology.
Automation map
0 ₽14-day diagnostics
- Breakdown of processes and loss points
- Impact estimate in numbers
- Prioritized implementation plan
StartScenario pilot
from 90,000 ₽One scenario, launched in 2 weeks
- Voice robot or speech analytics
- Telephony/CRM integration
- Before-and-after measurement
Turnkey
Custom quoteFull stack + ongoing support
- All outbound scenarios and lines
- Speech analytics on 100% of calls
- Agent dashboard + ongoing support
NODE 3Frequently asked questions
Questions about AI implementation in call centers
What does AI implementation deliver for a call center?
AI covers two jobs: a voice robot takes over routine outbound calling (reminders, confirmations, surveys, database reactivation), while speech analytics monitors 100% of calls instead of a sample. Agents are freed from routine work, and managers get an objective picture of quality. We calculate the exact impact in an automation map based on your call volume.
How much does AI implementation for a call center cost?
Work starts with a free 14-day automation map. A pilot of one scenario (voice robot or speech analytics) starts from 90,000 ₽. Full implementation with telephony integration is priced based on call volume and the number of agents.
How is an AI voice robot different from a regular autodialer?
A regular autodialer plays a recording. An AI voice robot holds a conversation: it understands responses, answers questions, logs the outcome, and hands hot inquiries to a live agent. The customer has a dialogue instead of listening to an answering machine.
How long does launch take?
A pilot of one scenario launches in 2 weeks with measured results. Once the effect is confirmed, the solution scales to the remaining campaigns and lines.
Will AI replace call center agents?
No. The robot handles routine repetitive calls, while agents focus on complex conversations that require a human touch. This reduces burnout and turnover rather than blindly cutting the team.
NODE 9Connection point
Implement AI in your call center
Start with an automation map: in 14 days we'll show where your processes lose money and what can be automated.
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