Your Customers Ask. Our AI Answers - Every Call,
Every Time, Without a Queue.
The Stacknize AI Call Centre Agent handles inbound customer enquiries by voice and chat — without human intervention. Built on 14 years of telecom voice engineering and the latest LLMs, this is not a chatbot retrofitted for calls. It is a voice-first AI agent, built from the ground up for real telephone conversations.
The Distinction That Matters
Traditional call centres have three fundamental problems: they are expensive to staff, they cannot scale when demand spikes, and they deliver inconsistent experiences depending on which agent answers.
The Stacknize AI Call Centre Agent was built to solve all three. Unlike generic AI chat tools with a voice
layer bolted on, ours starts with real SIP telephony – because we are a telecom engineering company. The AI conversation layer sits on top of that solid voice foundation. The result is a platform that can be
deployed to production and handling real customer calls in weeks, not months.
Years of
Platform Engineering
Platform Engineering
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Projects Delivered
Across Countries
Across Countries
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Platform Status
Built and production-ready. Available for deployment now — not a roadmap item.
What We Do
Not services we offer — platforms we have engineered, deployed, and watched run in
production for real clients across three continents.
Conversation Management
- Multi-turn context - the AI retains full conversation history and refers back naturally
- CRM retrieval at call start - the AI knows who the customer is before they say a word
- RAG-powered knowledge base - your products, policies, and FAQs grounded in your actual business rules
- Configurable guardrails - control precisely what the AI can and cannot say or commit to
Human Handoff
- Confidence scoring - triggers a seamless transfer to a live agent when the query exceeds the AI's scope
- Full context transfer - the agent receives a real-time conversation summary; no repetition required
Integrations & Analytics
- CRM connectors - Salesforce, HubSpot, Zendesk, and custom APIs
- Post-call automation - log outcomes, create tickets, and update records automatically
- Real-time dashboard - call volumes, resolution rates, escalation triggers, and intent distribution
- Full conversation transcripts for QA, compliance, and continuous improvement
Why This Is Different
Five engineering capabilities, each built over years of real production experience — not
assembled from a services catalogue.
01
Voice-First, Not ChatbotFirst
Built from the ground up for live telephone calls — not a text chatbot
with voice added. The latency requirements, audio handling, and
conversational rhythm of a real phone call are engineered in from day
one.
02
Real Telecom Infrastructure
Runs over SIP — the same protocol our engineers have worked with
for 14 years. Works in real operator environments with existing IVR
systems and carrier billing integration.
03
Deployed, Not Prototyped
This platform has been built and tested. You are deploying a finished
product — not funding its development, not running a pilot that may not
reach production.
04
LLM-Agnostic
Powered by GPT-4o, Anthropic Claude, or other models — flexibility on
cost, performance, and data residency requirements.
Technology Stack
Three continents. Five platform domains. Real clients who trusted us with business-critical
systems. Here is what that produced.
Voice / Telephony
- SIP - FreeSWITCH / Asterisk
Speech-to-Text
- OpenAI Whisper
- Google STT
LLM Engine
- GPT-4o
- Anthropic Claude API
Text-to-Speech
- ElevenLabs
- Azure Cognitive Services TTS
Knowledge Base / RAG
- LangChain
- Pgvector / Pinecone
Frontend & Agent Dashboard
- Angular - analytics portal and live call monitoring
Backend
- Node.js (NestJS)
- Python (FastAPI)
Infrastructure
- AWS (Lambda, ECS)
- Docker
Who This is For
- Telecom operators managing high volumes of subscriber enquiries - plan changes, balance queries, activations
- Healthcare providers handling appointment bookings and health guidance calls around the clock
- Banks and financial services with repetitive, high-volume inbound query patterns
- E-commerce and logistics businesses handling order tracking and returns at scale
- Any organisation where call centre cost, inconsistency, or inability to scale is a live problem
Our Partner for
Software Innovation




See the AI Call Centre Agent in Action
Request a live demonstration and we will walk you through a real call scenario relevant to your
business.