Agix Technologies logoAgix Technologies
LLM-PoweredOmnichannelCRM-ConnectedProduction-Grade

AI That Talks,
Sells & Solves
24/7.

Enterprise conversational AI chatbots that understand intent, remember context, integrate with your CRM, and resolve customer issues across web, WhatsApp, Slack, and every channel you run.

200+
Chatbots Deployed
87%
Avg Ticket Deflection Rate
6 wks
Typical Time to Production
100%
IP Ownership, Yours
Direct Answer

What Are Conversational AI Chatbots?

Conversational AI chatbots are LLM-powered systems that understand natural language, maintain multi-turn dialogue context, access live business data, and take real actions, resolving customer issues without scripted flows or human intervention.

Unlike rule-based chatbots that break on unexpected requests, Agix Technologies chatbots reason through intent, retrieve information from your knowledge base, update your CRM, and hand off gracefully when human support is needed.

“Your best support agent; tireless, instant, and infinitely scalable across every channel you operate.”

S
Santosh Singh
Founder & CEO, Agix Technologies
Core Capabilities of AI Chatbots
NLU Engine
Understands intent, entities, and sentiment from natural language
LLM
Multi-Turn Memory
Retains full conversation context across sessions and channels
Persistent
Tool Integration
Connects to CRM, helpdesk, payments, and internal APIs in real time
Live Actions
Omnichannel
One bot; web, WhatsApp, SMS, Slack, Teams, and more
Unified
Market Data & Impact

The Business Impact of Conversational AI Chatbots

$29B
Market by 2030
Grand View Research
23%
CAGR Growth
2024–2030
80%
Support Cost Reduction
IBM Research
73%
Prefer AI Chat
Salesforce State of CX
Agix Technologies as Your Provider

AI Chatbot Solutions Built for Your Business

Agix Technologies builds AI chatbots around your data, workflows, integrations, and customer interactions, creating systems tailored to how your business operates.

Purpose-Built Bots
AI chatbot solutions are designed around your specific use cases, knowledge sources, workflows, and business requirements.
Deep System Integration
Connects chatbots with CRM platforms, knowledge bases, APIs, ticketing systems, and business applications to support real actions.
Hallucination-Free
Grounds responses in approved business information using RAG architecture, retrieval controls, and response validation.
You Own Everything
Full source code, conversation data, and infrastructure, delivered to your cloud on day one. No monthly SaaS fees, ever.
Security

Built-In Security for AI Chatbots

Secure AI chatbot solutions protect business data while keeping automated conversations within defined boundaries.

Data Protection
Protects customer conversations and business data through secure handling, encryption, and controlled access.
Access Controls
Limits chatbot access to approved users, systems, and business data based on defined permissions.
AI Guardrails
Controls chatbot responses and actions through defined rules, retrieval controls, and validation.
Human Oversight
Escalates sensitive or uncertain requests to human teams with relevant conversation context preserved.
Monitoring & Evaluation
Monitors responses, resolutions, and escalations to improve chatbot quality through Decision Intelligence.
The Real Difference

Scripted Bot → Rule Engine → Conversational AI

Scripted / Rule-Based Bot
✦ Conversational AI (Agix Technologies)
Language Understanding
Keyword matching & decision trees
True NLU; intent, entities, sentiment
Context Memory
Single turn only, forgets instantly
Persistent multi-turn across sessions
Unexpected Inputs
Falls back or fails silently
Reasons through ambiguity, asks clarifying Qs
System Actions
Static info only, no live data
Updates CRM, checks orders, creates tickets live
Channels
Usually web only
Web, WhatsApp, SMS, Slack, Teams, more
Agix Technologies Pricing
N/A; we build AI, not scripts
From $5,000, single channel
Core Architecture

Conversational AI Chatbot Architecture

A production-grade conversational AI chatbot is a coordinated stack of five components; each essential for accuracy, speed, and reliability.

01
LLM Reasoning Engine
Processes natural language, understands nuance and intent, generates coherent and contextually accurate responses grounded in your data.
GPT-4oClaudeGemini
02
Dialogue Manager
Maintains conversation state and determines what the chatbot should do at each stage of the interaction.
03
RAG Knowledge Layer
Grounds responses in approved sources through RAG Knowledge for consistent results.
PineconeWeaviateSupabase
04
Integration Layer
Connects the chatbot with CRM systems, APIs, ticketing platforms, databases, and other business applications.
HubSpotZendeskShopify
05
Analytics & Monitoring
Tracks conversations, response quality, resolution rates, escalation patterns, and system performance.
LangSmithCustom Dash
Real-World Use Cases

What This Looks Like in Practice

Concrete examples of Agix Technologies conversational AI deployments across industries.

Customer Support

24/7 Support Bot with Live CRM Access

GPT-4oZendeskTwilioWhatsApp
The Problem

Support team handles 3,000+ tickets/month. 60% are routine, order status, returns, password resets, requiring a human to look up the same CRM records each time.

Agix Technologies Chatbot Solution
1

Intent Classifier: identifies order, account, billing, or technical issues instantly

2

CRM Lookup: pulls live order status, account details, and history via API

3

Action Engine: processes returns, resets passwords, escalates with full context

4

CSAT Monitor: detects frustration signals, prioritizes escalation queue

Results
87%
Tickets resolved without human↑ from 12%
<90 seconds
Avg resolution time
24/7/365
Coverage across all channels
Technology Stack

Technology Stack for Conversational AI Chatbots

GPT-4oClaudeGeminiLangChainLangGraphPineconeWeaviateTwilioWhatsApp APIHubSpotSalesforceZendeskShopifySupabaseLangSmithn8n
Transparent Pricing

Scope-Based Pricing for Conversational AI

Single-Channel Bot
$5,000–$8,000
Timeline: 4–6 weeks

One deployment channel (web, WhatsApp, or SMS), RAG knowledge base, one CRM integration, full handoff logic, and analytics dashboard.

Most Popular
Omnichannel Platform
$10,000–$15,000
Timeline: 6–10 weeks

3+ channels from a unified backend, full CRM + helpdesk integration, advanced context memory, live agent handoff, multilingual support, and performance dashboard.

Enterprise AI Platform
$18,000–$25,000
Timeline: 10–14 weeks

Multiple bot personas, agentic action capabilities, full enterprise SSO, compliance-grade audit logging, custom analytics, and ongoing fine-tuning support.

All pricing is project-based. You own the IP, source code, and all systems we build. Contact us for a scoped estimate.

Case Studies

Conversational AI in the Real World

View all case studies
Mindtrip case study thumbnailTravel Technology
ConversationalEnterprise Knowledge
MIMindtrip

Agix Technologies partnered with Mindtrip to build a conversational AI travel planner that transforms open-ended natural dialogue into…

The Challenge

Travel planning is inherently conversational. Real trip intent is expressed in natural language, refined through…

The Outcome

Measured across Mindtrip's deployed platform, spanning web and mobile, in the 12 months following the AI system launch.

Trip Planning Time

10 min

User Engagement

+234%
Read Full Case Study
Quizlet case study thumbnailEdTech
ConversationalEnterprise Knowledge
QUQuizlet

Agix Technologies built Q-Chat, Quizlet's Socratic AI Tutor, delivering +67% learning gains and 89% misconception resolution across 60M+…

The Challenge

Quizlet's existing study tools rewarded completion, not comprehension. Students who answered "correctly" on a flashcard…

The Outcome

Measured across 60M+ student sessions within 12 months of Q-Chat deployment.

Learning Gains

+67%

Students Served

60M+
Read Full Case Study
Properti Ai case study thumbnailPropTech
ConversationalEnterprise Knowledge
PAProperti AI

Agix Technologies built Properti AI's Property Discovery Automation, a six-stage conversational AI pipeline that extracts buyer lifestyle…

The Challenge

Real estate discovery was a human bottleneck problem disguised as a data problem. The listings existed. The buyer…

The Outcome

Measured across Properti AI network deployments spanning multi-office agencies in Australia and the UK in the 12 months…

Lead Conversion

+156%

Match Accuracy

89%
Read Full Case Study
Common Questions

Conversational AI Chatbots, Key Questions Answered

What are conversational AI solutions and how are they different from regular chatbots?+

Traditional chatbots typically rely on predefined rules, keywords, and scripted responses. Conversational AI solutions use LLMs, natural language understanding, context, and connected business systems to handle more flexible conversations and complete actions.

How does Agix Technologies prevent chatbot hallucinations?+

Agix Technologies grounds responses in approved business information using RAG architecture, retrieval controls, system instructions, and response validation. This helps keep responses aligned with trusted sources.

Which channels can Agix Technologies chatbots be deployed on?+

Chatbots can be deployed across websites, WhatsApp, Slack, and other customer or employee communication channels. For voice-based interactions, voice AI chatbots can also support customer conversations and automated workflows.

How much does conversational AI chatbot development cost?+

Development typically ranges from $5K for a focused single-channel chatbot to $25K or more for larger AI platforms with multiple channels, integrations, workflows, and advanced requirements.

How do conversational AI agents hand off to human agents?+

When a request requires human judgment, conversational AI agents can transfer the conversation with relevant context preserved, so users don't need to repeat the issue.

Can the chatbot be trained on our own data and documents?+

Yes. Agix Technologies ingests your product documentation, support articles, internal wikis, FAQs, policies, and past tickets into a knowledge base so the chatbot answers from your content, with updates reflected as that knowledge changes.

How do you choose the right conversational AI platform?+

The right conversational AI platform should handle more than basic conversations. Look for support for knowledge retrieval, conversation context, system integrations, analytics, security, human handoff, and the workflows your business needs.

Free Consultation

Ready to Build Your Conversational AI Chatbot?

Tell us your biggest support or sales challenge and we'll map out exactly how a conversational AI chatbot can solve it, with real timelines, real costs, and a clear deployment plan.

Free chatbot scoping session, no generic pitches
Channel and integration plan tailored to your stack
Clear ROI projection and deployment roadmap
Response within 1 business day
S
Santosh Singh
Founder & CEO, Agix Technologies
Get Your Free Scoping Call
Takes 60 seconds. No commitment required.

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