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Healthcare chatbot

A medical AI chatbot that resolves, not just replies

AI-powered chatbots for healthcare should finish patient conversations, not only answer FAQs. We build AI agents for practices that handle messages, appointments, forms and reminders, and hand clinical questions to your staff.

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30 minutes. You leave knowing which 3 processes to automate first and what they cost you today.

agent · working
7:48 pm · Patient portal message asking to move Thursday's visit

    Illustrative example

    Trusted by companies worldwide

    Trusted by companies worldwide: Braffess, Casa Sors, HollaBoo, Laoom, Guardian Development Group

    14–21 daysto your first live system
    600+processes automated
    100+hours returned to client teams every month

    Results

    Conversations resolved, not just answered.

    We have not built for a healthcare client yet. This SaaS case shows the same approach: an assistant that resolves routine questions and hands the rest to people.

    1. SaaS / Software

      85% of support tickets resolved by AI.

      A SaaS company with 50,000+ users had its best agents answering the same questions all day, and customers waited two hours for a reply. We built an AI assistant trained on their past tickets that answers instantly and hands complex cases to a person with full context.

      1,200+agent hours back every month
      <5 sfirst response, down from 2 h
      +45%customer satisfaction

    The problem

    Patient messages keep piling up.

    157%

    Rise in patient portal inbox messages since 2020, according to a JAMIA study.

    2.32 min

    Average time spent on each patient portal message.

    20 to 40

    Portal messages a busy doctor may receive in a day.

    Patients now expect to message the practice for everything. Your staff and physicians answer one message at a time, between visits.

    • A chatbot that answers FAQs: It replies with a link and the patient still has to call.
      An agent that resolves the conversation: It books or changes the appointment inside your scheduling system.
    • A chatbot that answers FAQs: Forms and reminders depend on someone remembering to send them.
      An agent that resolves the conversation: Forms and reminders go out on their own after each booking.
    • A chatbot that answers FAQs: Every portal message lands in a staff inbox first.
      An agent that resolves the conversation: Routine messages are resolved, and only the rest reach your team.
    • A chatbot that answers FAQs: A clinical question gets a generic answer.
      An agent that resolves the conversation: A clinical question goes straight to the right staff member, with the conversation attached.

    Routine work gets resolved, clinical judgment stays with your staff.

    Our data

    What AI answers when buyers ask

    We asked ChatGPT, Gemini and Perplexity 10 buyer questions about AI for healthcare practices. They named 107 companies, and 70% appeared in only one of the three.

    CriterionChatGPTGeminiPerplexity
    Companies named464258
    Sites cited mostkeragon.com (4 of 10)keragon.com (4 of 10)keragon.com (7 of 10)

    Nexum measurement, October 20, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 7 companies appeared in all three. Google showed an AI Overview for 9 of the 10 questions.

    What we automate

    How the healthcare chatbot handles a conversation.

    • Read the message

      Pick up patient messages from the portal, text or web chat and understand the request.

    • Book and change visits

      Check availability and book, move or cancel appointments in your scheduling system.

    • Send forms

      Send intake and consent forms and follow up until they come back.

    • Send reminders

      Remind patients before visits so fewer slots go empty.

    • Answer routine questions

      Reply with practice information such as hours, location and preparation steps.

    • Route to staff

      Send clinical or sensitive questions to staff with the full conversation, without giving medical advice.

    Is it time?

    Signs your practice needs a chatbot that resolves.

    Signals you need this

    • Portal messages pile up faster than staff can answer them
    • Patients call to do things they could do themselves
    • Forms and reminders get sent late or not at all
    • Physicians spend evenings clearing the inbox

    When not to invest yet

    • You expect the chatbot to be working perfectly in the first days
    • A low price matters more to you than patient questions actually getting resolved
    • A report on your patient messages is the goal, not a live system
    • Nobody can share scheduling access or approve each step yet

    What you get

    From the first message to a live system.

    • A map of your patient messaging, with the hours and dollars each type of request costs you
    • A fixed price for the patient messaging agent, with scope and dates agreed first
    • AI agents that resolve patient conversations on the tools you already use
    • Appointment booking and changes, forms and reminders handled end to end
    • Clinical questions routed to your staff, so your team keeps every medical decision
    • Practice-specific test conversations before launch, and a walkthrough for staff
    • Your practice owns the flows, accounts, prompts and patient-message data

    How it works

    The Payback Loop. Five steps. Each build pays for the next.

    We don't start with the AI. We start with the money.

    One team of AI automation specialists runs all five
    1. Consulting

      First, we find the manual work in your company and how many hours each task eats every week.

      Process map
    2. Consulting

      Each process gets a dollar figure and a rank by payback. You see what to automate first, and what to leave alone.

      AI roadmap, ranked by payback
    3. Implementation

      We build the first system on the tools you already use. Nothing new for your team to learn.

      A working system
    4. Implementation

      Every system is tested end to end before launch. It doesn't go live until it works without errors.

      Tested, system live
    5. Support

      The first build pays back fastest, so its savings fund the next one. Back to the map, and we keep every system running.

      Monthly support (optional)

    ↺ Back to Map

    Consultancies stop at the roadmap. Freelancers build without one. The loop only works when one team runs all five. You approve each step; we do the work.

    FAQ

    Questions about the medical chatbot.

    • A medical AI chatbot is conversational AI for patients: software that talks with them in plain language through the portal, text or web chat. Ours goes further: it completes tasks such as booking visits and sending forms, and routes clinical questions to your staff.
    • Yes. Conversational AI technology in healthcare already handles routine, non-clinical work: scheduling, forms, reminders and message handling. We build conversational AI for healthcare industry practices on your current tools, and your staff stay in charge of anything clinical.
    • An FAQ bot replies and stops. Our agents act: they check availability, rebook the visit, send the form and log the result. Our AI chatbot work covers the same approach across industries.
    • Harvard Health Publishing asks this exact question about chatbots. Our agents do not give medical advice. They recognize clinical questions and send them to your staff with the conversation attached.
    • No. It takes over routine messages so your team can focus on patients. Mass General Brigham asks whether AI could ever replace a doctor; our design assumes clinicians keep every medical decision.
    • We cannot answer for a third-party tool. For your practice, privacy requirements are part of the scope we agree in the fixed-price proposal. Our AI receptionist for healthcare page covers the phone side.
    • An AMA physician survey found 66% used health AI in 2024, up from 38% in 2023. Messaging and administrative work are common starting points. See AI use cases in healthcare.
    • The roadmap takes 1 to 2 weeks. Patient messages can be handled by the agent within 14 to 21 days; the complete setup takes 6 to 8 weeks. The timeline is fixed in the proposal before anything starts.

    Final step

    Pick a time. Let's talk.

    You leave knowing which processes to automate first and what each one costs you today, whether we work together or not.

    You can keep paying for manual work, or find out this week exactly what it costs you.

    What happens on the call

    1. Before

      You answer 3 quick questions when you book, so we come prepared.

    2. On the call

      We find the manual work that costs you most and put a number on it, live.

    3. Decide

      An honest read on whether we're the right fit. If we're not, you'll hear it on the call.

    Once you book, we look at your site and tools before the call, so the 30 minutes go to your numbers, not introductions.

    Prefer to write first? Email us directly: contact@nexumautomations.com

    30 minutes · Video call · Free