Majstori Grada: 24/7 AI Lead Machine & Sales System
Four agents, one system. A website lead chat that captures urgent leads with minimal friction, an after-hours AI call center that covers 22:00–07:00, a knowledge agent for the sales team, and a QA agent that monitors every call for script and BANT compliance.
We turned Majstori Grada's website into a24/7 lead machine, and gave their sales team an AI that never sleeps.
Majstori Grada needed more than a chatbot. They needed a complete AI system that captures urgent leads, handles after-hours calls, arms their sales team with instant knowledge, and monitors every conversation for quality. We built four agents that work together as one system — deployed on their infrastructure, integrated with their operations.
Majstori Grada
Client Infrastructure
Lead Gen, Call Center, Knowledge, QA
24/7 — Including After-Hours
Leads were slipping through the cracks — especially after hours.
Majstori Grada's business depends on speed. When someone has property damage or needs urgent repair work, the company that responds first wins the job. But their old system had gaps that were costing them deals.
The website had a contact form. Forms create friction. People have to type, wait, and hope someone calls back. In a business where urgency is the primary buying trigger, every minute of delay is a lost lead. The form also asked for too much information, which meant people abandoned it before completing.
After hours, the problem was worse. The call center closed at 22:00. From 22:00 to 07:00, every call, every urgent request, every potential job went unanswered. Those leads either went to a competitor or were forgotten by morning. The company was losing revenue while they slept.
On the sales side, the team needed faster access to knowledge. When a prospect asks about a specific service, a repair method, pricing, or terms and conditions, the salesperson needs the answer immediately. If they have to put the prospect on hold, check with a colleague, or call back later, the deal cools. The knowledge existed in the company, but it wasn't accessible in real time during a live conversation.
And nobody was watching the calls. The company had sales scripts and a BANT qualification framework, but there was no systematic way to verify that setters and closers were actually following them. Call quality was inconsistent, and there was no data to identify which reps needed coaching or which parts of the script weren't working.
Four agents. One system. Zero gaps.
We built a four-agent system deployed on Majstori Grada's infrastructure. Each agent solves a specific bottleneck, and together they cover the entire lead-to-close pipeline — from the first website visit to post-call quality analysis.
The agents share a common RAG knowledge base containing Majstori Grada's services, repair methods, pricing, terms and conditions, and operational procedures. Every agent retrieves from the same source of truth, so the lead gen chat, the after-hours call center, the sales knowledge agent, and the QA system are all working from identical, up-to-date information.
How the system connects.
Four agents, one knowledge base, deployed on Majstori Grada's infrastructure. The lead chat feeds the call center. The call center feeds the QA agent. The knowledge agent supports all three. Every interaction is logged, analyzed, and retrievable.
Website chat widget · Inbound voice calls · Sales team interface · QA dashboard
Lead Gen Agent · After-Hours Call Center Agent · Knowledge Agent · QA/Performance Agent — all running on the Growww AI engine
Shared knowledge base: services, repair methods, pricing, terms, conditions, sales scripts, BANT framework — indexed and retrievable in real time
Deployed on Majstori Grada's infrastructure. GDPR compliant. Full call recording, transcripts, and audit logs retained on-premise.
What we built.
Lead Gen Chat
The website chat was built to do one thing: capture urgent leads with minimal friction. Instead of asking visitors to fill out a long form, the chat guides them through a click-based flow — similar to a click funnel. The user clicks through options rather than typing. Fast responses, automated qualification, and the lead is captured before the prospect has time to leave the page or call a competitor.
- Click-based flow, not text-heavy forms
- Instant automated responses
- Urgency-based lead qualification
- Maximized automation — minimal manual input
- Captures lead data for sales team handoff
- Designed for speed — first responder wins
Sales Knowledge Agent
The sales team now has instant access to everything they need during a live conversation. The knowledge agent is powered by a RAG pipeline containing all of Majstori Grada's services, repair methods, pricing structures, terms and conditions, and operational procedures. When a prospect asks a question, the salesperson gets the answer immediately — no putting the prospect on hold, no calling a colleague, no "let me get back to you on that."
- Instant access to all service information
- Repair method knowledge on demand
- Pricing and terms retrieval in real time
- Conditions and requirements lookup
- Eliminates "let me check and get back to you"
- Keeps prospects engaged during the call
Call Center Performance Agent
This agent watches every call. It compares setter and closer conversations against predefined scripts and the BANT qualification framework. It checks whether reps are following instructions, sticking to the script, qualifying properly, and maintaining the right communication tone and emotional register. The result is a systematic, data-driven view of call quality that was previously impossible to track at scale.
- Monitors adherence to predefined scripts
- Tracks BANT qualification compliance
- Analyzes communication tone and emotion
- Identifies reps needing coaching
- Flags script sections that aren't working
- Data-driven call quality at scale
After-Hours AI Call Center
When the human call center closes at 22:00, the AI call center takes over. From 22:00 to 07:00, every inbound call is answered by an AI voice agent that captures the caller's issue, qualifies the lead, and logs all the information. By morning, the human call center has a prepared, organized list of overnight leads ready to be closed — instead of starting the day with a pile of missed calls and voicemails.
- Covers 22:00 – 07:00 gap, 7 days a week
- AI voice agent answers every call
- Captures and qualifies lead information
- Prepares organized lead list for morning
- No more lost after-hours revenue
- Seamless handoff to human team at 07:00
How the four agents work together.
Visitor lands on website
Lead Gen Chat captures lead
Sales team follows up
The system never has a gap. Day or night, there's an agent capturing leads, supporting the sales team, or analyzing performance. The human team focuses on closing — the AI handles everything else.
AI Call Center takes over 22:00–07:00
Human team gets prepared leads
Knowledge Agent supports sales rep
QA Agent analyzes performance
We’re capturing more leads and responding to inquiries faster, including those that used to come in after working hours. Our team starts each day with qualified opportunities ready to follow up, instead of missed calls.
COO
How we deployed it.
Operations audit & knowledge mapping
We mapped Majstori Grada's lead flow, call center hours, sales scripts, BANT framework, and knowledge sources. Identified the four critical gaps: website friction, after-hours coverage, sales knowledge access, and call quality monitoring.
RAG pipeline population
Majstori Grada's team uploaded their services, repair methods, pricing, terms, conditions, and sales scripts into the shared knowledge base. Structured for retrieval across all four agents.
Four agents built & tested
Lead Gen Chat, After-Hours Call Center, Knowledge Agent, and QA Agent — each built, tested against real scenarios, and tuned for accuracy before deployment.
Website, telephony & sales interface
Chat widget deployed on website. Voice agent integrated with telephony for after-hours routing. Knowledge agent integrated into sales team interface. QA dashboard connected to call recording system.
Full system live with ongoing support
All four agents went live. Ongoing support includes monitoring, agent tuning, and additional development as Majstori Grada's needs evolve.
Not a chatbot. Not a call center service. A system.
Most companies that sell AI tools sell one piece. A chatbot vendor gives you a chatbot. A call center service gives you call center coverage. A sales enablement tool gives you a knowledge base. None of them talk to each other.
What we built for Majstori Grada is a system where every agent shares the same knowledge base, the same infrastructure, and the same data pipeline. The lead chat knows what the call center knows. The knowledge agent feeds the QA agent. The QA agent's insights can improve the scripts that the lead chat and call center use. It compounds.
This only works because it's PaaS. The platform runs on Majstori Grada's infrastructure. Their call recordings, their lead data, their sales scripts — all of it stays inside their environment. A SaaS chatbot vendor can't offer that. A third-party call center can't offer that. This is the PaaS difference.
Want a complete AI system for your sales operation?
We build multi-agent systems that cover your entire lead-to-close pipeline. Lead capture, after-hours coverage, sales knowledge, and call quality — all on your infrastructure.
