Chatbot & Conversational AI Development
Intelligent chatbots that answer from your own knowledge base.
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
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.
Our Approach
A proven, transparent process that keeps you informed at every stage, no surprises, just results.
Discovery
Use-case definition, knowledge base audit, and integration mapping.
Data Prep
Document ingestion, chunking, embedding, and retrieval pipeline setup.
Design
Conversation flow design, persona definition, and escalation logic.
Build
RAG pipeline and chatbot application development.
Test
Accuracy testing, edge case handling, and user acceptance testing.
Deploy
Production deployment with monitoring and continuous improvement.
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
Logistics & Supply Chain
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.
Related Services
Explore more ways we can help your business.
Cloud, Security & Delivery
We architect, migrate, and manage cloud infrastructure, with built-in security, DevOps, and quality assurance. From zero-trust security frameworks to CI/CD pipelines, we deliver infrastructure that performs under pressure.
AI Integration & Automation
We connect leading AI APIs, OpenAI, Anthropic, Google Gemini, directly into your existing systems and workflows, automating repetitive operations and unlocking intelligent capabilities without rebuilding your stack.
LLM Development & Engineering
We provide end-to-end LLM engineering services, from prompt design and fine-tuning to RAG architecture and production model deployment, helping businesses extract maximum value from large language models.
