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    AI CHATBOT DEVELOPMENT

    AI chatbot development company

    HATZS is an AI chatbot development company that builds support, lead-qualification and helpdesk chatbots for web, WhatsApp, SMS and voice, grounded in your own documents. In our example scenario, AI-powered lead handling raises lead-handling capacity by 300%, so teams answer every inquiry without adding headcount.

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    PROOF

    AI chatbots in practice

    Example scenario
    Befer
    300%

    More lead-handling capacity

    AI-powered service automation increased lead-handling capacity by 300% on the Befer CRM platform, with AI customer engagement running around the clock.

    View case study

    What our AI chatbot development covers

    01

    Customer support chatbots for web, WhatsApp and SMS

    Our support chatbots answer order, account and policy questions on your website, in WhatsApp and by SMS, using the same approved answers in every channel. We cover WhatsApp chatbot development end to end, from business account setup and message templates to handoff to a live agent when the bot is unsure. Chatbots like these run live on the BrokerOS platform.

    02

    Lead qualification and booking bots

    These bots greet new inquiries within minutes, ask the questions your sales team would ask, score the lead and book a call or visit straight into the calendar. Qualified leads reach your CRM with the conversation attached, so reps start with context instead of a blank form.

    03

    Internal helpdesk and HR bots

    Employees ask a bot about leave, payroll dates, IT access or company policy and get an answer from your own handbook, with a ticket opened in your helpdesk when needed. HR and IT teams spend less time on repeat questions, and every answer points back to its source.

    04

    Healthcare chatbot development and insurance chatbots

    Our healthcare chatbot development covers appointment booking, visit preparation, benefit and claim-status questions, built around the privacy and compliance rules that apply to you: restricted data access, audit logs, clear disclosures and a handoff to a person for anything clinical or sensitive. Your compliance team reviews the design before launch.

    05

    Voice bots

    Voice bots answer calls, understand the caller, qualify them and schedule follow-ups around the clock, passing notes to your CRM. This is the approach behind the AI voice and messaging assistants on the DealerIQ platform.

    06

    Chatbots grounded in your documents (RAG)

    A RAG chatbot retrieves the right passages from your manuals, policies and knowledge base before it answers, and cites them, so replies stay specific and easy to check. We build these on top of our LLM and RAG development service.

    How an AI chatbot project runs

    1–2 weeks

    Discover conversations

    Deliverables: a conversation audit, the top questions to automate, a channel plan and success measures.

    Conversation audit
    Channel plan
    2–3 weeks

    Design the chatbot

    Deliverables: conversation flows, knowledge sources, handoff rules and an integration plan.

    Conversation flows
    Handoff rules
    4–8 weeks

    Build and integrate

    Deliverables: a working chatbot on your channels, connected to your CRM, helpdesk and knowledge base.

    Channels
    CRM and helpdesk
    Knowledge base
    2–4 weeks

    Test and pilot

    Deliverables: accuracy testing on real questions, guardrails and a monitored pilot with live users.

    Accuracy testing
    Guardrails
    Pilot
    Ongoing

    Launch and improve

    Deliverables: analytics, regular answer reviews and monthly tuning as your content and questions change.

    Analytics
    Answer reviews

    Chatbot use cases across industries

    Where chatbots typically take routine conversations off your team in each industry.

    Answer routine patient and staff questions and hand sensitive ones to a person.

    Booking, rescheduling and reminding patients about appointments.
    Answering opening hours, location, preparation and billing questions.
    Collecting intake details before a visit for staff to review.
    Searching internal protocols for staff in plain language.
    Escalating clinical or sensitive questions to a person.
    Healthcare chatbot development for appointments and patient questions
    FIT

    Who this is for, and who it is not for

    This is for

    • Support, sales and operations teams answering the same questions across web, WhatsApp, SMS or phone
    • Healthcare, insurance and retail businesses that need customer chat with a clear handoff to a person
    • HR and IT teams that want an internal helpdesk bot grounded in company documents
    • Teams whose current chatbot gives generic or wrong answers and needs rebuilding on their own knowledge

    This is not for

    • Sites that only need a free live-chat widget or a scripted FAQ pop-up
    • Work where the bot must take multi-step actions across systems on its own, which is an AI agent project
    • Teams without anyone to own the knowledge content and review the bot's answers
    QUICK ANSWERS

    AI chatbot development FAQs

    Cost depends on the channels (web, WhatsApp, SMS, voice), the systems it connects to, how much content it must answer from, and the amount of testing and compliance review. A focused FAQ chatbot costs far less than a multi-channel bot that updates your CRM. HATZS scopes every project after a 30-minute scoping call.

    A chatbot answers questions in a conversation. An AI agent works toward a goal and takes actions across your tools, such as updating a CRM record. Many projects combine both. Our AI agent vs chatbot guide compares them with examples, and our AI agent development service covers the action-taking side.

    Yes. We connect chatbots to CRMs, helpdesks, calendars, order systems and knowledge bases through their APIs and webhooks, so the bot can look up an order, book a slot, create a ticket or log a lead. Every conversation is saved against the right record, and your team sees the full history.

    We ground answers in your approved documents, show the source, and keep the bot inside a defined scope. It says it does not know instead of guessing, and hands off to a person when confidence is low. Before launch we test it on real questions, and after launch we review answers every month.

    A focused chatbot, such as a support or lead bot on one channel, typically takes two to four months: one to two weeks of discovery, two to three weeks of design, four to eight weeks of build and integration, then a monitored pilot. Adding channels such as WhatsApp or voice extends the timeline.

    Yes. We build WhatsApp chatbots on the WhatsApp Business Platform: account and number setup, approved message templates, conversation flows and handoff to a human agent. We connect them to your CRM so every chat is logged, and we design them to follow Meta's messaging policies.

    A chatbot can handle administrative work such as booking, benefit questions and claim status when it is designed around your privacy and compliance rules: restricted data access, logging, clear disclosures and a handoff to a person for clinical or sensitive matters. Your compliance team approves the design, and the bot never gives medical or legal advice.

    Yes. Voice bots answer and place calls, understand the caller, qualify them and book follow-ups, passing notes to your CRM. Many teams start with a text chatbot and add voice once the answers and handoffs are proven, reusing the same knowledge base so both channels give consistent answers.
    AWARDS & RECOGNITIONS

    A multi-award-winning software development partner

    Befer
    Simple talk
    Social Hub
    Car trackers
    BrokerOS
    Ledgebrook
    Creativate AI Studio
    Befer
    Simple talk
    Social Hub
    Car trackers
    BrokerOS
    Ledgebrook
    Creativate AI Studio
    OUR WORK

    We've successfully developed hundreds of custom software applications for clients.

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