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Chatbot & Conversational AI Development

Intelligent chatbots that answer from your own knowledge base.

100+
Projects Delivered
50+
Active Clients
15+
Countries Served
98%
Client Satisfaction
Overview

What We Deliver

Generic chatbots frustrate users. Inovex Systems builds conversational AI that actually knows your business, products, policies, procedures, and data, and answers questions accurately and naturally. Our chatbot development practice specialises in Retrieval-Augmented Generation (RAG) systems that ground AI responses in your company's own documents and knowledge bases, eliminating hallucinations and ensuring every answer reflects your actual information. We deploy on your website, app, or internal tools, integrating with your CRM, ticketing systems, and data sources. The result is a 24/7 AI assistant that handles the majority of routine queries with the accuracy and tone your brand requires, freeing your team for complex, high-value interactions.

Key Benefits

  • Resolve the majority of routine queries automatically, 24/7
  • Eliminate hallucinations with RAG-grounded, verified responses
  • Reduce support costs while improving response times
  • Scale customer interactions without scaling headcount
Capabilities

Key Offerings

Every capability we offer is designed to deliver real, measurable value to your business.

RAG-Powered Assistants

Chatbots that retrieve answers from your proprietary documents, FAQs, and knowledge bases using retrieval-augmented generation for verified, accurate responses.

Customer Support Bots

AI agents that handle tier-1 support queries, troubleshoot issues, and escalate to human agents with full context, reducing support volume by up to 60%.

Internal Knowledge Bots

Enterprise knowledge assistants that let staff query internal documentation, HR policies, SOPs, and technical manuals in natural language.

Sales & Lead Qualification Bots

Conversational AI that qualifies leads, answers product questions, books meetings, and hands off warm prospects to your sales team.

Multi-Channel Deployment

Deployment across web, mobile, WhatsApp, Slack, Teams, and other channels, meeting your users where they already are.

CRM & Helpdesk Integration

Native integrations with Salesforce, HubSpot, Zendesk, and Intercom, ensuring chatbot conversations flow into your existing workflows.

How We Work

Our Approach

A proven, transparent process that keeps you informed at every stage, no surprises, just results.

STEP 01

Discovery

Use-case definition, knowledge base audit, and integration mapping.

STEP 02

Data Prep

Document ingestion, chunking, embedding, and retrieval pipeline setup.

STEP 03

Design

Conversation flow design, persona definition, and escalation logic.

STEP 04

Build

RAG pipeline and chatbot application development.

STEP 05

Test

Accuracy testing, edge case handling, and user acceptance testing.

STEP 06

Deploy

Production deployment with monitoring and continuous improvement.

Industries

Industries We Serve

We've delivered chatbot development solutions across a wide range of sectors and business models.

🏥

Healthcare & Clinics

🛍️

Retail & E-commerce

💳

Finance & FinTech

🎓

Education & EdTech

🏭

Manufacturing

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Logistics & Supply Chain

FAQ

Frequently Asked Questions

What is the difference between a RAG chatbot and a regular chatbot?

A regular chatbot answers from pre-programmed scripts or a general AI model. A RAG chatbot retrieves answers directly from your own documents, knowledge base, and data, so every response is grounded in your actual information. This eliminates hallucinations and ensures accuracy.

Which platforms can you deploy the chatbot on?

We deploy chatbots on your website, mobile app, WhatsApp, Slack, Microsoft Teams, and other channels. We can also integrate the chatbot directly into your CRM, helpdesk, or internal tools.

How much does custom chatbot development cost?

Custom chatbot development typically starts from $8,000 to $15,000 for a production-ready RAG chatbot. The cost depends on the number of data sources, required integrations, and complexity of conversation flows. We provide a detailed quote after a discovery call.

How long does it take to build a chatbot?

A standard RAG chatbot takes 4 to 8 weeks from kickoff to deployment. This includes data ingestion, vector database setup, model configuration, testing, and integration with your chosen platforms.

Can the chatbot be trained on our internal documents?

Yes. This is the core of our RAG chatbot service. We ingest your PDFs, Word documents, knowledge bases, FAQs, and any structured data, index them into a vector database, and ground every chatbot response in that content.

Ready to Get Started with Chatbot Development?

Talk to our team about your requirements and get a tailored proposal within 24 hours.