The real problem, not the generic one.
In private practice, the schedule is the asset and no-shows are the leak. Many missed appointments aren't cancellations: they're people who couldn't reschedule because nobody answered. The agent covers booking, rescheduling and reminders, which is exactly the administrative part.
The same five questions, answered instantly.
So your team only talks to the people worth talking to.
The part nobody shows in a demo.
No made-up numbers.
The schedule fills and refills itself. When someone cancels, the agent offers that slot to the waiting list within minutes: the hour that used to sit empty because nobody had time to call.
What's specific to this industry.
In the diagnostic, we write the list of red flags that trigger immediate referral, and we define how the agent connects to the existing scheduling system so you don't end up with two calendars running in parallel. That list is validated by the clinical team, not by us.
The four setup phases and timelines are on the AI agency page; the method applied across the whole sales function is in our method.
What people ask before hiring us.
No. It's the strictest prohibition in every healthcare implementation. The agent covers the administrative side —scheduling, preparation, requirements, costs— and for any clinical question it replies that the practitioner will address it, then books the appointment.
A list of red flags is defined in advance. When it detects one, the agent stops handling the appointment, tells the person to go to the emergency room or call the line the institution has designated, and notifies the human team immediately.
It connects to the calendar or system the practice already uses, as long as it offers a way to integrate. Where there isn't one, we define an alternative flow so you don't end up with two schedules running in parallel, which is the worst possible scenario.
The agent doesn't touch medical records. It works with contact and scheduling data. Everything clinical stays in the provider's system, under its own controls.
Same agent, different rules.
The next step
In the diagnostic, we find out whether an AI agent is what your operation needs right now, or whether something else needs fixing first. If it's the latter, we tell you.