Conversational AI and Chatbot Development
People do not want a menu of buttons. They want to ask in their own words and get a useful answer. We build conversational assistants that stay grounded in your content, remember context and hand over cleanly.
In short. Conversational AI and Chatbot Development is one of Matrida Infotech's AI services. Assistants that understand context, answer from your knowledge and know when to hand over to a person. Typical stack: OpenAI · Gemini · LangGraph · Qdrant · n8n · channel connectors.
Sound familiar?
- Support queues fill with questions your documents already answer
- Your current chatbot loops on anything it did not expect
- Customers in several languages get uneven service
- You cannot tell when the bot is unhappy-making
Capabilities
- Natural language understanding
- Agents and chatbots
- Natural language generation
- Sentiment analysis
- Retrieval-augmented generation
- Virtual assistants
What we build
- Language understanding that picks up intent, details and tone
- Answers grounded in your knowledge base, with sources
- Agents that complete tasks such as bookings and status checks
- Sentiment signals that trigger a human hand-over
- Web, WhatsApp, app and helpdesk channels from one brain
What you get
- Assistant on your chosen channels
- Conversation flows and escalation rules
- Quality dashboard with failed-conversation review
- Knowledge update process
Tools and frameworks
- OpenAI
- Gemini
- LangGraph
- Qdrant
- n8n
Where it fits: Financial Services, Healthcare, Retail & E-commerce.
Questions
How is this different from a basic chatbot?
A basic bot follows scripts. A conversational assistant understands free-form language, uses your knowledge to answer, and can take actions through your systems.
Will it make things up?
We ground answers in your content, require sources, and test with questions that have no answer so the assistant learns to say so.
Which channels can it run on?
Websites, in-app chat, WhatsApp, Slack, Teams and helpdesk tools, among others, depending on your setup.
Can it work in other languages?
Yes. We test each language on real examples, because quality varies by language and topic.
How do you know it is working?
Resolution rate, hand-over rate, customer ratings and a weekly review of failed conversations.
Related services
AI Agent Development
We build AI agents that complete multi-step work inside your systems, with guardrails, human approval and full audit logs.
Learn more →RAG & Enterprise Knowledge Assistants
Private assistants that answer from your documents with citations, permission-aware retrieval and measured accuracy.
Learn more →Generative AI Application Development
Customer-facing and internal LLM products, from document drafting to AI copilots inside your SaaS.
Learn more →Planning Conversational AI? Tell us the workflow.
Say what is going wrong today. We reply with how conversational ai and chatbot development would handle it, a rough scope and the first thing to build.
- You would get: assistant on your chosen channels
- You would get: conversation flows and escalation rules
- You would get: quality dashboard with failed-conversation review