A AI chatbot for a healthcare business tackles one specific leak: patients ring and message the practice all day with the same things: can I book, can I move my appointment, do you take my health fund, what should I bring, is there a gap. Every one pulls reception off the patients in front of them, and after hours the questions bank up as voicemails and emails that only get answered the next morning, by which time some patients have booked elsewhere. Bamco builds it around the tools you already run, so it fits your operation rather than forcing you to change how you work.
Information current as at 4 July 2026
Patients ring and message the practice all day with the same things: can I book, can I move my appointment, do you take my health fund, what should I bring, is there a gap. Every one pulls reception off the patients in front of them, and after hours the questions bank up as voicemails and emails that only get answered the next morning, by which time some patients have booked elsewhere.
This is not a generic problem with a generic tool bolted on. It is a specific leak in a healthcare business, and the system is built to close it. You can see the full picture of where a healthcare business leaks margin on the healthcare industry page.
A patient assistant that answers common questions and helps with bookings from your live practice data. It draws on your appointment book in Cliniko, Halaxy or Nookal and your online booking through HotDoc or HealthEngine, and answers a patient in plain language on your website, over SMS, or by web chat: availability, what to bring, whether you claim their fund. It can book, reschedule and cancel within your rules, and when something is clinical or sensitive it hands to a human with the context attached, never attempting a clinical judgement itself.
Bring us the idea you already have, or book an audit and we map where the money is leaking. Either way, you deal directly with the senior team that designs and builds it.
Week one. From the first week, the routine booking and enquiry questions get answered instantly instead of interrupting reception, and after-hours patients can book or reschedule rather than leaving a voicemail that waits until morning.
Month three. By month three the assistant has learned the questions your patients actually ask, deflects a meaningful share of the calls that used to hit the front desk, and gives you a record of what patients keep asking, which shows where your booking and intake information is unclear.
Engagements typically start around $50k and are scoped after a systems audit, priced as a fraction of what a legacy build of the same capability would have quoted. You get a fixed-scope proposal with a real number before anything is built, and you own what we build. The point is not the price. It is that a well-built AI chatbot for a healthcare business is meant to pay for itself in multiples, by plugging a leak that is costing you every week it stays open.
Whether you can name exactly what you want built, or you just know something is leaking, the next step is the same conversation.