AI Chatbot for Customer Support

The challenge

The support team answered the same questions every day by phone, email and WhatsApp. Customers waited hours for simple answers, enquiries outside office hours were lost, and the team had no time for complex cases.

Our solution

We built a generative-AI chatbot grounded in the client's own information:

• Trained on your content: uses retrieval-augmented generation (RAG) over FAQs, product documents, policies and website pages, so answers are accurate and on-brand.
• Omnichannel: one assistant on the website chat widget and WhatsApp.
• Takes action: captures leads, books appointments, checks order or ticket status and creates support tickets through integrations with the CRM.
• Human handover: when the bot is not confident, or the customer asks, the conversation passes to a staff member with the full history.
• Multilingual: replies in English, Hindi and other regional languages.
• Guardrails: stays on approved topics, does not invent policies and never exposes private data.
• Analytics: top questions, unanswered queries and satisfaction ratings to keep improving the knowledge base.

Technology: large language models (LLMs), RAG with a vector database, Python, Node.js, WhatsApp Business API, CRM integration.

Results

• Customers get instant answers 24/7, including evenings and weekends
• Most routine questions are answered without staff involvement
• Leads captured around the clock and passed straight to the sales team
• Support staff focus on complex, high-value conversations