Žan Vulić: an AI-powered call center built from scratch and integrated into Bitrix24.
Four AI components, one CRM. We built the PBX foundation, upgraded it immediately into an AI call center, connected every interaction to Bitrix24, and added website lead generation, after-hours coverage and automated sales QA.
We turned a zero-infrastructure sales operation into an AI-powered communication ecosystem.
Žan Vulić came to us without a call center, PBX or AI infrastructure. We built the telephony foundation from scratch, upgraded it into an AI call center from day one, and made Bitrix24 the central system for chat, voice, lead handling and sales-performance analysis.
Žan Vulić
Bitrix24
Client Infrastructure
In Production
No call center. No PBX. No unified communication flow.
Žan Vulić did not have a call center, PBX telephony infrastructure or an AI layer. The sales team worked without modern call-center tooling, while communication happened partly inside the CRM and partly outside it.
That created several operational gaps at once: website leads were not automated, calls outside working hours could be missed, customer context was scattered across channels, and management had no systematic way to evaluate the quality of sales conversations.
Because there was no legacy call-center stack to preserve, the project also created an opportunity: the entire operation could be designed around AI from the start instead of retrofitting intelligence onto a traditional phone system later.
Build the infrastructure once — and make it AI-native from day one.
We built the PBX foundation from scratch and immediately upgraded it with the Growww AI engine. Calls could be intelligently routed, logged, recorded, transcribed and analyzed from the first day of operation.
Bitrix24 then became the central operating system. Website chat, voice communication, call-center activity and QA results all connect back to the CRM, so every interaction can create or update the relevant record automatically instead of relying on manual or duplicate entry.
Website lead-gen chat · Inbound and outbound calls · After-hours calls · Sales conversations
Lead Gen Chat · AI Call Center · Night Agent · QA Agent
Bitrix24 as the central system for lead creation, call logs, recordings, transcripts, conversation context and QA results
Deployed inside the client environment, under client control and behind the client firewall
What we built.
Lead Gen Chat
The website lead-gen agent is designed to capture leads with minimal friction. Instead of a long form, visitors move through a click-based conversational flow, while the agent collects the information needed for sales follow-up.
- Click-funnel flow
- Automatic Bitrix24 lead creation
- Instant lead delivery
- Minimal user input
- Fast responses
- Conversation context preserved
AI Call Center
The PBX was built from scratch and upgraded immediately into an AI call-center layer. Every call can be logged, recorded, transcribed and analyzed, with the relevant information attached to the corresponding Bitrix24 record.
- PBX built from scratch
- Automatic Bitrix24 logging
- Transcription
- Intelligent call routing
- Call recording
- AI conversation analysis
Night Agent
When the human call center is offline, the Night Agent answers calls, gathers the caller’s information and writes the full context into Bitrix24. It can create the lead and schedule a callback for the sales team the next morning.
- After-hours call handling
- Lead creation
- Morning handoff
- Automatic Bitrix24 entry
- Callback scheduling
- No waiting for manual data entry
QA Agent
The QA Agent analyzes sales conversations and writes the results back into Bitrix24, linked to the relevant deal and salesperson. It evaluates script adherence, the qualification process, question quality and the emotional tone of the conversation.
- Script compliance
- Question-quality review
- Per-deal analysis
- Qualification-process analysis
- Emotion analysis
- Results stored in Bitrix24
How every interaction moves through the system.
A visitor starts a website chat or a customer reaches the call center.
The chat agent captures lead data or the call-center layer routes and processes the call.
The relevant lead or deal record is created or updated with interaction context.
The Night Agent handles calls outside working hours and schedules follow-up for the sales team.
Recordings, transcripts and conversation details are connected to the CRM record.
The QA Agent analyzes sales performance and stores results by deal and salesperson.
We finally have a clear view of what’s happening across our field operations. Growww AI turns hundreds of daily conversations into actionable insights our management team can use every day.
Founder
How we deployed it.
PBX built from scratch
Established the telephony foundation for a call-center operation that previously did not exist.
PBX upgraded immediately with Growww AI
Added intelligent routing, automatic logging, recording, transcription and conversation analysis from the start.
Bitrix24 became the central operating system
Connected chat, voice and call-center activity directly to CRM records so interaction data could be stored automatically.
Lead Gen, Night and QA workflows added
Deployed the website lead-gen flow, after-hours handling and sales-quality analysis around the same infrastructure and CRM.
One live system for daily operations
The system is in production and used as the central communication and sales-intelligence layer across the operation.
Not a chatbot added to a CRM. An AI-powered sales ecosystem built from the ground up.
The biggest difference is architectural. Fizionova did not add AI on top of a finished call center. The PBX, AI call-center layer, CRM integration and agents were designed as one system from the beginning.
Bitrix24 acts as the single operational record for communication, while AI works before, during and after the interaction: capturing leads, handling calls, preserving context and analyzing sales quality.
The PaaS deployment model is equally important. According to the project brief, the PBX, AI call center, agents and Bitrix24 integration operate inside the client-controlled environment, keeping communication data, recordings, transcripts and analysis under the client’s control rather than in a separate third-party AI stack.
Want an AI call center integrated with your CRM?
We build AI call-center systems that run through your CRM, cover after-hours demand, automate lead handling and analyze sales conversations — all on your infrastructure.
