AI-Powered Customer Support

Resolve 80% of Support Tickets
Before a Human Even Sees Them
Automate 80% of Support

A custom RAG-powered chatbot trained on your knowledge base, connected to your CRM and support systems, delivering instant, accurate responses 24/7.

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RAG Architecture
Vector Database
MCP Connected

AI Support Agent Interface

80%

Tickets Resolved Automatically

<3s

Average Response Time

24/7

Always-On Coverage

60%

Support Cost Reduction

What Makes This Different From a Basic Chatbot?

Most chatbots are glorified FAQ pages with a chat window. They follow rigid scripts, break when customers ask anything unexpected, and frustrate more people than they help.

Our AI support agents are built on Retrieval Augmented Generation (RAG) — a fundamentally different architecture. Instead of scripted responses, the system retrieves real information from your knowledge base, documentation, CRM, and support history, then generates accurate, contextual answers in natural language.

Think of it as giving a brilliant support agent instant access to every document, email, ticket, and product manual your company has ever produced — and the ability to synthesise all of it into a helpful answer in under 3 seconds.

How the System Works

A modern RAG pipeline connecting your data, AI models, and business systems through MCP servers.

Customer Query

Chat widget, email, SMS, WhatsApp

Semantic Search

Query embedded & matched via vector DB

Context Retrieval

Relevant docs, tickets & data pulled

LLM Generation

AI generates accurate, grounded answer

Connected via MCP Servers & APIs

Vector Store

Pinecone / Qdrant / Weaviate

Knowledge Base

Docs, PDFs, Wikis, FAQs

CRM / Helpdesk

Salesforce, Zendesk, HubSpot

IPA Workflows

Refunds, escalations, actions

Intelligent Support, Not Scripted Replies

Trained on Your Data, Not Generic Content

We ingest your product docs, SOPs, past support tickets, FAQs, policy documents, and internal wikis into a vector database. The chatbot retrieves the most relevant context for every query — so answers are specific to your business, not hallucinated from general training data.

Data Sources We Ingest

Product documentation & manuals
Historical support tickets & resolutions
Internal SOPs & policy documents
Website content & knowledge base articles
CRM records & customer data (via MCP)

IPA Workflow Actions

Process refund requests
Update shipping status
Escalate to human agent with context
Create support tickets automatically
Reset passwords & update accounts

Takes Action, Not Just Answers Questions

Through Intelligent Process Automation (IPA) and MCP server connections, your chatbot doesn't just talk — it acts. Process refunds, update accounts, escalate tickets with full context, check order status, and trigger workflows in your backend systems — all without human intervention.

Smart Escalation with Full Context

When a query truly needs a human, the system doesn't just hand off a ticket — it packages the entire conversation, customer history, sentiment analysis, and suggested resolution into a seamless handover. Your agents pick up exactly where the AI left off, saving 5-10 minutes per escalation.

Escalation Package Includes

Full conversation transcript
Customer sentiment score
AI-suggested resolution
Relevant CRM & order data
"Your support team shouldn't be answering the same 50 questions over and over. That's not a job for a human — it's a job for an AI agent with perfect recall and infinite patience."
MS
Mike Schwarz
CEO, MyZone AI

Stop Paying Humans to Answer FAQsAutomate Support

Deploy a custom RAG chatbot trained on your business in as little as 2 weeks. Your customers get instant answers. Your team gets their time back.