AI Agent for Healthcare

An AI medical assistant is software that handles a practice’s front-desk and admin work, not its clinical work. In practice management software like Pabau, that’s an AI medical receptionist that texts back missed calls, invites no-shows to rebook and chases unsigned forms. Separate agents handle invoices, marketing and sales follow-up. It’s not a clinical tool. An AI medical assistant doesn’t write clinical notes and doesn’t diagnose. It does the admin work that keeps a practice full and paid.

Yes. Pabau’s AI Receptionist answers out-of-hours calls and handles the booking live on the call. It can book a new appointment, reschedule an existing one or cancel it, with no callback needed the next morning. If a call still goes unanswered, it texts the caller back so the enquiry isn’t lost. It also invites no-shows to rebook and sends aftercare once they’ve been in. That’s the difference between an enquiry you keep and one that books somewhere else.

Not without you seeing it first. Every new agent starts in training, where it drafts messages instead of sending them. You see exactly what it would say to a patient before anything goes out. Approve a draft and it sends. Reject it with a note and that note coaches the agent, so it won’t re-draft something you’ve already turned down. Once you trust how it handles a skill, set that skill to auto-approve and leave review on for the rest.

No. It covers the hours your front desk can’t — evenings, weekends and the gaps during a busy day. Your team still handles the conversations that need a person. What changes is what lands on their desk. Instead of working through missed calls, unanswered texts, unsigned forms and unpaid invoices, they arrive to drafts already written and waiting for approval.

About the same as onboarding a new starter, minus the training week. You pick the role, give the agent a name and a face, and set the email address it works from. Then you choose which skills it starts with. After that it needs your attention, not your time. For the first stretch every action arrives as a draft, so you’re approving or correcting rather than writing. The corrections are what teach it your practice’s way of doing things.

Your agent works under its own name and its own email address, never a team member’s. Nothing goes out signed by someone who didn’t write it. You set the tone it writes in, and during training you see every message before a patient does. When a conversation needs a person, your team picks it up. Disclosure rules for AI messaging vary by state, so check what applies where you practice.

Yes, at any point. Pause the agent and it stops immediately. Move it back to training and it returns to drafting instead of sending, without losing what it has already learned. You can also do this one skill at a time. Turn off auto-approve for a single skill and keep the rest running. Some skills, like changes to patient records, stay under review permanently no matter what you set.

Every action the agent takes carries an audit row with the evidence behind it. You can see what it did, when, to whom and why it decided to. Each agent also reports against the goals you set it: bookings recovered, invoices paid, forms completed. You’re judging it on outcomes, not activity. If a skill isn’t earning its place, switch that skill off and leave the rest running.

Four. The AI Receptionist has 20 skills ready and covers missed calls, rebooking, forms, aftercare and consultation follow-ups. The AI Finance Specialist chases unpaid and part-paid invoices with a secure pay-by-link. The AI Marketeer has 15 skills ready and watches how your practice shows up in Google and in AI answers. The AI Sales Specialist has five or more skills ready and works your lead list, including the leads you’d written off.