Bluelupin Technologies

    Conversational AI

    Conversational AI and Chatbot Development

    Bluelupin builds conversational AI for customer support, sales and citizen services: chatbots that answer questions from your approved content, complete simple tasks and pass the conversation to a person when needed. We connect them to your CRM and helpdesk, and design each one for the channels your users already use.

    Chatbot, conversational AI, or something else?

    A basic chatbot follows fixed scripts. Conversational AI understands open-ended questions, keeps context across a conversation and can take simple actions.

    You needUse
    Customers or citizens asking questions or getting helpConversational AI (this page)
    Staff searching your own documentsRAG development
    A system that completes multi-step work across toolsAI agent development
    Fixed back-office steps after a request comes inAI workflow automation

    If the people asking are your staff searching your own documents, see RAG development. If they are customers or citizens, see conversational AI.

    When the assistant needs to complete multi-step work across your systems, it can hand the task to an AI agent.

    Conversational AI we build

    Examples of what we can build, for web chat, mobile apps and Microsoft Teams.

    Customer support assistants

    Answers from your approved help content, order and ticket status, and handoff to a support agent.

    Sales and lead qualification assistants

    Answers product questions, asks qualifying questions, books a call and creates the lead in your CRM.

    Citizen service assistants

    Scheme information, application status and grievance intake for government departments.

    Handoff to your team, and staying accurate

    • The assistant says it is a bot
    • Answers come only from content you approve
    • When it is unsure, it says so and offers a person
    • Handoff passes the full conversation history and customer details to your agent
    • Escalation rules for complaints, payments and sensitive topics
    • Conversation reviews and analytics show where users get stuck

    Governance and responsible AI are built into every Bluelupin build.

    CRM and helpdesk integration

    The assistant can look up orders and tickets, create leads and cases, and give your agents the customer's context during a handoff. Systems we work with include Salesforce, HubSpot, Zoho, Slack and Microsoft Teams.

    See also our API and integration services.

    How a conversational AI project works

    1. Strategy and readiness

      We list the top questions and journeys your users bring, and agree what the assistant must handle. This is the strategy and readiness phase of every Bluelupin build.

    2. Prototype

      A working assistant on one channel, tested with real questions.

    3. Pilot

      Live users on that channel, with handoff switched on and conversations reviewed every week.

    4. Rollout

      Rollout and training for the teams who use the system can be included. How we roll out.

    5. Run and improve

      After launch, our AI team can monitor it, check the quality of its output and tune it. Conversation reviews show which answers and journeys to improve.

    How long it takes: A first prototype can be ready in 1 to 2 weeks. Pilots usually take 4 to 8 weeks, and production systems usually take 3 to 6 months.

    Platforms and models we use

    We pick the model for each assistant by language quality, cost and data residency needs. Bluelupin is an OpenAI partner.

    OpenAI
    Anthropic Claude
    LangChain
    LlamaIndex
    Python
    FastAPI

    Conversational AI we have shipped

    Screenshot of the CII Smart Manufacturing Platform with its AI assistant

    CII Smart Manufacturing Platform

    We built the CII Smart Manufacturing Platform, a national portal that helps MSMEs with maturity assessments, solution discovery, programmes and events, including the AI assistant that guides MSMEs through the platform and its programmes.

    Visit the CII Smart Manufacturing Platform

    See our full portfolio

    Conversational AI FAQs

    Common questions about conversational AI.

    What is the difference between a chatbot and conversational AI?

    A basic chatbot follows fixed scripts and decision trees. Conversational AI uses language models to understand open-ended questions, keep context across a conversation and take simple actions, while still following structured flows where you need them.

    How do you hand conversations to a human agent?

    When the assistant cannot help, or the topic needs a person, it hands the conversation to your team with the full history, the customer's details and a short summary, so nobody has to repeat themselves.

    Can the chatbot use our existing help content and CRM?

    Yes. It answers from the help articles, policies and FAQs you approve, and connects to your CRM and helpdesk to look up orders and tickets or create leads and cases. Systems we work with include Salesforce, HubSpot and Zoho.

    How do you stop a chatbot giving wrong answers?

    It answers only from content you approve, says when it is unsure and offers a person instead. We test it with real questions before launch and review conversations after launch to close gaps.

    Do you build chatbots in Hindi and English?

    Yes. We build chatbots that understand and answer in Hindi and English, and we test them with real questions in both languages before launch.

    What drives the cost of a chatbot?

    Cost depends on the number of channels, the integrations with your CRM and helpdesk, how much content it answers from, conversation volume and model usage.

    Talk to our AI team

    Tell us who your users are, what they ask most and where they reach you, and we will help you plan the first step. Response within one business day.

    Talk to our AI team

    Or email sales@bluelupin.com or call +91 99100 24224