Customer support deflection
Answer the questions your team answers fifty times a day, with citations.
AI Chatbots
Intelligent chatbots
that actually work.
From customer support to internal knowledge assistants — we build LLM-powered chatbots that integrate deeply with your systems and handle real-world complexity.
What we deliver
- LLM-powered chat with GPT-4, Claude, and open-source models
- RAG pipelines over your docs, PDFs, and knowledge bases
- Multi-channel: web widget, WhatsApp, Slack, Teams
- Handoff to human agents with full context
- Analytics dashboard — intent tracking and CSAT
- GDPR-compliant data handling
Where AI chatbots earn their place
Sales qualification
Capture intent and route the serious enquiries to a person quickly.
Internal knowledge
Let staff query policies, runbooks and product docs in plain language.
WhatsApp and multi-channel
Meet Indian customers on the channel they already use every day.
FAQ
Frequently asked questions
- How much does an AI chatbot cost in India?
- Published market ranges run from well under a lakh for a configured FAQ bot to many lakhs for an agent with tool use and memory, because those are very different systems. Our breakdown of AI chatbot development cost in India explains what each tier buys.
- How is this different from a website chatbot builder?
- Builders are excellent for scripted flows. The work here starts where the answer must come from your private documents, be attributable to a source, and escalate cleanly when the bot should not answer.
- How do you stop a chatbot from making things up?
- Ground answers in retrieved documents, show the source, set a confidence threshold below which it hands off to a human, and maintain an evaluation set that catches regressions before users do.
- Can it work in Hindi and other Indian languages?
- Yes, though it is not a toggle — multi-language changes the evaluation set, retrieval behaviour and sometimes the model choice. It should be scoped explicitly rather than assumed.
- Can the chatbot take actions, not just answer?
- Yes, and that is a bigger build: it needs permissions, confirmation for anything irreversible, audit logging and a rollback path. Read why AI agents fail in production before committing to that tier.