What AI Call Analysis Actually Does in Bitrix24
Bitrix24 CoPilot brings speech analytics directly inside the CRM — no third-party transcription service required. When a call ends, the AI can immediately perform several tasks in sequence:
- Transcribe the conversation into a readable text log
- Summarise the call in a few sentences and attach it to the deal or lead card
- Auto-fill CRM fields by matching what the customer said to fields on the card
- Score the call against a sales script and produce a compliance percentage
- Generate coaching recommendations for the rep
All of this happens within the deal or lead record, so a sales head can review results without leaving the CRM.
How Transcription and CRM Auto-Fill Work
The transcription step converts the audio recording into a full dialogue. From that text, CoPilot does two more things simultaneously:
- Writes a summary — a short paragraph capturing the key points, objections, and agreed next steps.
- Fills CRM fields automatically — the AI matches what the customer said to the field labels on the card.
For auto-fill to work well, field names need to be self-explanatory and map naturally to questions a rep would ask. For example: if the card has a "Region" field with options like "City" or "Suburb," and the rep asks "Which area are you based in?" and the customer answers "the city centre," CoPilot can recognise the match and select the correct value. Vague field names like "Info 1" or "Note A" will not be filled reliably.
These three actions — transcription, summary, CRM field fill — together consume three CoPilot requests.
Script Compliance Scoring: How Calls Get a Score
Script scoring is the feature most relevant to sales managers. Here is how it works end-to-end:
The diagram below shows the full AI processing flow from call completion through to a rep's quality score appearing in the CRM.
flowchart LR
CALL[Call Ends] --> TRANS[Transcription]
TRANS --> SUMM[Summary + CRM Field Fill]
TRANS --> SCORE[Script Compliance Score]
SCORE --> REP_CARD[Rep Rating in CRM]
SCORE --> QC[Quality Control Queue]
REP_CARD --> COACH[Coaching Recommendations]
Step 1 — Define the script. You create or edit a sales script inside Bitrix24. When CoPilot processes a script, it automatically extracts evaluation criteria from it. This extraction costs one CoPilot request and only happens when the script is created or edited.
Step 2 — Score individual calls. Each call is checked against those criteria. The output is: - A percentage score for that specific call (e.g., 74% script compliance) - An overall rating for the rep across all scored calls
Step 3 — Automatic vs. manual scoring. By default, scoring must be launched manually from the deal or lead card. Automatic scoring on every call requires purchasing CoPilot Boosts (additional request packages). Without Boosts, a quality manager triggers analysis on selected calls by hand.
| Scenario | CoPilot Requests Used |
|---|---|
| Transcription + Summary + CRM Field Fill | 3 requests |
| Speech Analytics (Transcription + Recommendations + Score) | 2 requests |
| Score only (after transcription already done) | 1 request |
| Full flow (both call processing + speech analytics) | 4 requests |
| Script creation / editing (criteria extraction) | 1 request |
Automating Quality Control: Catching Hidden Issues
AI scoring alone does not catch all problems. A common real-world issue: a rep has a long, substantive conversation with a prospect but deliberately does not advance the lead stage in the CRM — effectively hiding a qualified contact from the pipeline.
Based on our project experience, this pattern can be detected and routed to quality control automatically:
- The telephony system notifies Bitrix24 that a call has ended, including its duration in seconds.
- A custom script checks the duration. Calls under a threshold (for example, 120 seconds) are ignored.
- For longer calls, a 15-minute timer starts — giving the rep time to update the card manually.
- After 15 minutes, the script re-checks the lead or deal stage.
- If the stage has not moved forward (or has been closed with an implausible reason like "no answer" despite a two-minute conversation), the system automatically creates a quality-control task — flagged as "Suspected hidden qualification — review call from [date], duration [X] seconds."
- The QC card is pre-filled with: the rep's name, a link to the original lead or deal, the call date, duration, and the recording.
This removes the need for a manager to manually sift through call logs to find anomalies. The CRM surfaces the risk automatically.
CoPilot Requests and Boosts: Understanding the Cost Model
CoPilot runs on a request-based consumption model. Every AI action — whether generating a task description, answering a chat question, or processing a call — consumes one or more requests.
Key points for sales operations teams:
- Included requests come with each Bitrix24 plan. On an on-premise (box) licence, the base allocation is 100 requests per month. These reset on the first of each month; unused requests do not carry over.
- CoPilot Boosts are additional request packages you can purchase when the base allocation runs out.
- On an on-premise installation with up to 50 users, Boosts are available as an annual package only. When you buy an annual Boost package, the monthly free allocation is suspended for the duration.
- Pricing for Boosts varies by region and licence type — check current rates with your Bitrix24 partner.
Practical implication: if you want every call scored automatically without manual intervention, plan your monthly call volume against your request budget before enabling auto-scoring. A team making 500 calls a month and using the full combined flow (4 requests per call) would consume 2,000 requests monthly.
Turning Scores into a Coaching Workflow
A score is only useful if it leads to a behaviour change. Here is a practical coaching loop that sales heads can implement directly in Bitrix24:
- Weekly score review. CoPilot maintains a running overall rating per rep, visible in the CRM. Sort reps by score to identify who needs attention.
- Targeted call review. Drill into low-scoring calls. The transcription lets you read — not just listen to — where the rep deviated from the script.
- Coaching recommendations. The speech analytics output includes AI-generated recommendations for the rep, not just a raw score. These can be attached to a task assigned to the rep or their team lead.
- Script refinement. If multiple reps consistently score low on the same criteria, the issue may be the script, not the reps. Revise the script (one request) and re-evaluate.
- QC smart process. Use a dedicated smart process (a custom CRM pipeline) to track calls flagged for review, assign them to quality managers, and close the loop with documented outcomes.
This turns AI call analysis from a reporting tool into an ongoing performance management system.
When AI Call Analysis Makes Business Sense
AI call analysis in Bitrix24 delivers the clearest return in these scenarios:
- High call volume, small QC team. When it is impossible to manually review more than a fraction of calls, AI pre-scores everything and surfaces only the outliers for human review.
- New rep onboarding. Score every call in the first 30–60 days to catch bad habits early, before they become ingrained.
- Script rollout. After launching a new sales script, use compliance scoring to measure adoption across the team in real time rather than waiting for monthly reviews.
- Suspected data manipulation. If pipeline conversion rates look inconsistent, automated stage-progression checks (as described above) can reveal whether reps are managing the CRM accurately.
- Remote or distributed teams. When a sales head cannot physically monitor calls, AI transcription and scoring provide the same visibility as sitting next to the rep.
For teams already running telephony through an integrated provider — whether a cloud PBX or a softphone solution — CoPilot plugs into the existing call recording infrastructure without additional hardware.