100% of calls analyzed instead of a sample
AI transcribes and scores every conversation against your checklist: greeting, needs discovery, pitch, objection handling. Not a 5% sample of calls — the entire flow.
Sheet 4.2 — industry node
Sales · call monitoring
AI for sales teams and call monitoring
A sales manager spot-checks 5–10 calls a week and still can't see where the team loses deals. AI implementation — speech analytics across 100% of calls — scores every conversation against a checklist and highlights growth points. In our case study, conversion grew 27% in 2 months, while quality control shrank from 10 hours to 30 minutes a week.
NODE 1What AI covers in sales
Tasks AI solves in a sales team
With dozens of reps and hundreds of calls a day, a manager physically can't listen to everything. AI closes four blind spots in quality control.
Why deals don't close
The system tags loss reasons across the whole team: price, timing, weak closing, "went off to think". The manager sees the pattern instead of guessing from two reviewed calls.
Quality control in 30 minutes a week
Instead of 10 hours of manual call reviews, the manager gets ready-made scores and a list of calls that need attention. The freed-up time goes into fixing problems and coaching the team.
Coaching on real conversations
Objective scores for every rep show exactly who needs to improve what. Targeted coaching on their own calls lifts conversion across the whole team — not just the stars.
NODE 2Solution assembly diagram
How implementation works
DIAGRAM 4.2
- 01 · MAP
Automation map in 14 days
We audit quality control in your sales team and show where deals are being lost. Free, no strings attached.
- 02 · PILOT
Pilot on one team
We launch speech analytics on one team in 2 weeks, measuring conversion before and after.
- 03 · SCALE
Scale and support
We roll out to all sales teams, fine-tune the scorecards, then maintain and improve the system.
TABLE 1Proof — a real case study
Case study: industrial equipment sales team
An industrial equipment seller: 15 reps, ~100 calls a day. Quality control meant 5–10 hours of sampled call reviews per week. Here's what AI analysis of 100% of calls delivered.
- Sales conversion
- +27% in 2 months
- Calls analyzed
- 100% was a sample
- Manager's time
- −80% 10 h → 30 min/wk
- Rep scorecards
- 15 reps objective, per rep
Table 1 — case metrics sheetMeasured: before / after
| Metric | Before | After |
|---|---|---|
| Conversion to sale | baseline | +27% |
| Share of calls analyzed | 5–10% sample | 100% |
| Manager's quality control | 5–10 h/wk | 30 min/wk |
| Rep evaluation | subjective | objective, checklist-based |
| Loss reasons | unknown | tagged across the team |
TABLE 2Implementation pricing
What AI call monitoring costs
Start with a free automation map. From there, you pay for measurable results in numbers — not for technology.
Automation map
0 ₽14-day diagnostic
- Quality control audit
- Assessment of deal-loss points
- Prioritized implementation plan
Start
Speech analytics pilot
from 90,000 ₽One team, live in 2 weeks
- Analysis of 100% of calls
- Scorecard built for your script
- Conversion measured before and after
Turnkey
CustomAll teams + ongoing support
- Telephony and CRM integration
- Dashboard across all reps
- Fine-tuning and ongoing support
NODE 3Frequently asked questions
Questions about implementing AI in sales
What does implementing AI in a sales team deliver?
AI transcribes and scores 100% of sales calls instead of spot-checking: script adherence, objection handling, loss reasons. The manager gets an objective picture across the whole team.
In our case study this lifted conversion by 27% in 2 months, while quality control dropped from 5–10 hours to 30 minutes a week.
How much does speech analytics implementation cost?
Work starts with a free 14-day automation map. A speech analytics pilot on one team costs from 90,000 ₽. A full turnkey implementation is priced based on call volume and the number of sales reps.
How does AI analyze sales calls?
Every call is automatically transcribed and scored against your checklist: greeting, needs discovery, pitch, objection handling, agreement on the next step.
AI tags loss reasons and flags the calls that need the manager's attention.
How long does launch take?
A pilot on one team goes live in 2 weeks, with conversion measured before and after. Once the metric is confirmed, the solution scales to all sales teams.
Will AI replace the head of sales?
No. AI takes the call-review grind off the manager's plate — instead of 10 hours a week spot-checking calls, they get ready-made scores for 100% of conversations and spend their time fixing specific problems and coaching the team.
NODE 9Connection point
Implement AI call monitoring
Start with an automation map: in 14 days we'll show where your sales team loses deals and how to fix it.
Message us on Telegram