BitrixGPT: The AI Assistant Inside Bitrix24 CRM

What Is BitrixGPT?

BitrixGPT is Bitrix24 (Alaio)'s native AI assistant - available in CRM, tasks, chats, and the product catalogue - that automates the repetitive cognitive work that follows every client interaction, from call transcription to CRM data entry.

BitrixGPT (previously marketed under the name CoPilot - mentioned here only for historical context) is embedded throughout the Bitrix24 platform. In the CRM context, it focuses on one high-value problem: sales managers spend a disproportionate share of their day re-listening to recorded calls, manually noting order details, payment methods, and delivery addresses, then typing all of it into the deal card. BitrixGPT eliminates each of those manual steps.

It is available in both cloud and self-hosted (on-premise) editions of Bitrix24, with up-to-date feature parity as of 2026. Usage draws from a built-in free request quota; heavier users can expand capacity through BitrixGPT boosts or an add-on subscription plan (availability and pricing vary by region).

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Core Capabilities: What BitrixGPT Actually Does in CRM

BitrixGPT covers six distinct AI workflows inside Bitrix24 CRM - call transcription, conversation summary, automatic CRM field filling, chat analysis, sales-script scoring, and multilingual output - all triggered from the deal or lead timeline.

Here is a consolidated view of each capability and the direct operational benefit it delivers:

BitrixGPT Capability	What It Does	Benefit for Sales Teams
Call transcription	Converts the recorded call audio to searchable text	No more re-listening; find any detail in seconds
Conversation summary	Extracts the key points from the call or chat	Instant brief before the next touchpoint
Auto-fill CRM fields	Populates empty deal/lead fields from call or chat data	Eliminates manual data entry after every call
Chat analysis	Summarises messenger/open-channel conversations and fills fields	Same workflow for text-based client interactions
Sales-script scoring	Scores the call against your defined script; flags errors with recommendations	Objective, continuous quality control without a QA team
Deal recommendations	Surfaces next-step suggestions based on the conversation	Keeps reps on track without manager intervention
Multilingual output	Summary and field fill can be in a different language than the call itself	Ideal for cross-border teams (e.g., call in English, CRM fields in Arabic)
Video call follow-up (Follow-up)	Analyses recorded video meetings: agenda adherence, participant engagement, timestamped summary	Structured outcomes from every internal or external meeting

For a deeper look at how the call-scoring layer works alongside telephony setup, see AI Call Analysis in Bitrix24: Transcription, Quality Scoring, and Sales Coaching.

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How BitrixGPT Processes a Phone Call

Processing a recorded call with BitrixGPT takes three sequential steps - transcription, summary, and CRM field fill - all launched from a single button inside the deal or lead timeline card.

The workflow is straightforward:

1. Open the CRM card (lead or deal) and locate the call record in the activity timeline.
2. Choose your action. Three controls appear on the call block: - Fill fields - triggers automatic CRM card population from call data. - Score call - runs the sales-script compliance check. - The transcription icon - converts the audio to full text.
3. Review and confirm. If a field already contains data, BitrixGPT prompts you to keep the existing value or replace it - it never overwrites without asking.

After processing, a colour-coded activity item appears in the timeline marked Processed by BitrixGPT:

• Purple - the conversation was substantive and relevant.
• Yellow - the conversation was off-topic or irrelevant; BitrixGPT will suggest adding the contact to a stop list.

If a recording is linked to multiple deals, BitrixGPT can only be triggered from the most recently created deal card. If a call is linked to both a lead and a deal, trigger it from the deal.

You can also set processing to run automatically after every call, or keep it manual - the choice is per pipeline in CRM settings.

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Chat Analysis: The Same Logic for Messaging

BitrixGPT applies an identical two-step workflow to chat conversations - summary then field fill - so that messenger and open-channel interactions leave the same clean CRM trail as phone calls.

Many B2B sales teams conduct a significant portion of their client communication over chat channels (WhatsApp, website live chat, open channels). Without AI assistance, a manager must scroll back through the thread to reconstruct what was agreed, then type it into the deal. BitrixGPT handles both steps:

1. Conversation summary - highlights the key points and agreements from the thread.
2. CRM field fill - pushes relevant data (names, delivery addresses, product choices, payment preferences) into the appropriate deal or lead fields.

To trigger it: open the CRM card → find the chat entry in the timeline → click Fill fields.

Teams running multilingual customer communications - for example, a Gulf-based company handling Arabic-speaking and English-speaking clients simultaneously - will find the language-selection feature especially useful here. See the section below on language settings for details.

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Sales-Script Scoring and Speech Analytics

BitrixGPT's script-scoring engine evaluates every call against your configured sales script, assigns a compliance score, flags specific mistakes with actionable coaching notes, and maintains a rolling manager performance rating - all without a human QA reviewer.

This is the capability that moves BitrixGPT from a productivity tool into a sales-management tool. Key mechanics:

• Script library - define one or more sales scripts inside Bitrix24. A single call can be scored against multiple scripts sequentially.
• Per-call score - BitrixGPT marks each script element as passed or failed (e.g., "manager greeted client by name ✓ but did not introduce themselves ✗").
• Recommendations - for each failure, BitrixGPT generates a concrete suggestion for the next call.
• Manager rating - a rolling average across all scored calls, weighted so that recent calls carry more influence than older ones. If a manager acts on recommendations and stops repeating mistakes, the rating improves.
• Score correction - supervisors can manually adjust a score if context was missed.

For sales leaders who want to connect script performance back to pipeline outcomes, this data pairs naturally with Bitrix24 CRM Analytics and Sales Dashboards: Reports, Funnels and Forecasting.

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Language Selection for Global Teams

Each Bitrix24 user can independently set the language in which BitrixGPT writes summaries and fills CRM fields - the transcript itself always appears in the language of the original conversation, regardless of output language.

This distinction matters in practice. A manager in Dubai might conduct a call in English but need CRM fields populated in Arabic for the local operations team. A Portuguese-speaking manager handling a Brazilian client can have the summary in Portuguese even if the conversation code-switched between languages.

To configure: navigate to the leads or deals section → Settings (⚙️) → BitrixGPT in CRM → Reply language → select the preferred language. The setting is per-user and per-pipeline, so different funnels can have different default languages.

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BitrixGPT Beyond CRM: Tasks, Posts, and Meetings

Outside the CRM, BitrixGPT assists with drafting task descriptions and checklists, writing internal news posts and comments, and generating full follow-up reports from recorded video meetings - keeping the AI layer consistent across the entire Bitrix24 workspace.

A brief overview of the broader platform coverage (relevant for sales managers who also manage their teams inside Bitrix24):

• Tasks - generate task descriptions, add checklists, summarise task threads.
• News / feed - draft posts, comments, and announcements with tone and style controls.
• Product catalogue - write product descriptions and highlight key features for e-commerce or internal catalogues.
• Video meetings (Follow-up) - after a recorded video call, BitrixGPT identifies the meeting type, evaluates agenda adherence and timing, summarises outcomes with timestamps, and lets you create tasks or follow-up meetings directly from the analysis panel. Participant engagement is rated across six criteria: courtesy, positive tone, topic relevance, clarity of expression, results orientation, and timing discipline.
• Direct chat with BitrixGPT - a persistent conversation thread with the AI assistant; context and history are retained between sessions.

For teams considering how automation layers connect across the platform, Bitrix24 Business Process Automation: Robots, Triggers and the Workflow Designer covers the complementary rule-based automation layer.

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How BitrixGPT Fits Into the Call-to-CRM Flow

An inbound or outbound call moves through BitrixGPT to produce a fully populated CRM record and a scored activity log. This is a linear process - the AI layer sits between the telephony event and the CRM write.

The flow shows a client call entering Bitrix24 telephony, being recorded and stored, then processed by BitrixGPT in three parallel outputs: a text transcript, a conversation summary, and automatic CRM field population - alongside a script-scoring result that feeds the manager rating.

flowchart TD
    CALL[Client Call / Chat] --> TEL[Bitrix24 Telephony & Open Channels]
    TEL --> REC[Call Recording / Chat Log]
    REC --> BGPT[BitrixGPT Engine]
    BGPT --> TX[Text Transcript]
    BGPT --> SUM[Conversation Summary]
    BGPT --> FILL[Auto-Fill CRM Fields]
    BGPT --> SCORE[Script Compliance Score]
    TX --> CARD[Deal / Lead Card Timeline]
    SUM --> CARD
    FILL --> CARD
    SCORE --> RATING[Manager Performance Rating]
    CARD --> REP[Sales Manager Review]
    RATING --> MGR[Sales Leader Dashboard]

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How to Enable and Roll Out BitrixGPT: Implementation Checklist

Enabling BitrixGPT in a Bitrix24 account takes under 30 minutes for a standard cloud setup; a structured rollout across a sales team of 10-50 users typically runs 1-2 weeks when paired with script configuration and manager training.

Use this checklist to move from zero to fully operational:

Pre-Launch

• Confirm your Bitrix24 plan includes BitrixGPT access (as of 2026, available on Standard and above; verify current plan details in your account portal)
• For on-premise installations, verify the BitrixGPT module is active and the licence covers AI features
• Decide on processing mode: automatic (runs after every call/chat) or manual (manager triggers on demand)
• Define at least one sales script in CRM → Sales Scripts - cover greeting, qualification, objection handling, and close
• Set the default reply language per pipeline (Settings ⚙️ → BitrixGPT in CRM → Reply language)
• Confirm that sales staff have edit permissions on the CRM entities they handle (required for field-fill to work)

Configuration

• Map which CRM fields BitrixGPT should populate - focus on fields that managers currently fill manually (product interest, payment method, delivery address, next action)
• Test transcription quality on a sample of real recorded calls before full rollout
• Configure stop-list logic for irrelevant calls (yellow-flagged conversations)
• Enable Follow-up for any team running regular video discovery or demo calls

Rollout and Adoption

• Run a 30-minute demo session showing managers the timeline → score → recommendations loop
• Set a two-week baseline period: collect script scores without consequences, establish rating benchmarks
• Review manager ratings weekly; use BitrixGPT's per-call recommendations as coaching material
• Adjust scripts quarterly based on aggregated scoring patterns

For guidance on scoping the wider Bitrix24 implementation around this, Bitrix24 Implementation Hours by Module: A Data Reference for Budgeting provides realistic effort benchmarks.

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Value for Sales Leaders: What Changes Day-to-Day

Sales leaders who deploy BitrixGPT consistently report three operational shifts: CRM data completeness rises significantly, post-call admin time drops, and script coaching moves from periodic manual review to a continuous automated feedback loop.

A summary of the before/after for a typical sales team:

Workflow	Without BitrixGPT	With BitrixGPT
Post-call CRM update	Manager re-listens, types manually	Auto-filled within seconds of call end
Call quality review	Manager or QA listens to samples	Every call scored against script automatically
Coaching feedback	Monthly or ad hoc	Per-call recommendations, instant
Chat follow-up	Scroll back through thread manually	Two-click summary + field fill
Cross-border CRM data	Language mismatch or manual translation	Output language set per user/pipeline
Meeting outcomes	Unstructured notes or no notes	Timestamped summary, tasks created from agreements

Teams already using Bitrix24 Sales Funnel Design: Stages, Automation and Conversion Tracking will find that higher CRM data completeness directly improves funnel accuracy - garbage-in/garbage-out is the most common reason funnel reports lose credibility.

ACP Group - a Bitrix24 Gold partner with over 1,300 completed projects - typically configures BitrixGPT as part of a broader CRM rollout, pairing script setup with funnel stage design and automation rules so that AI insights feed directly into pipeline management rather than sitting as isolated call notes.