Treatment Price Follow Up Demo
Treatment price enquiries can go cold when patients are unsure about what is included, likely next steps, timing or whether they need a consultation before proceeding.
The patient gets a helpful follow-up that explains the clinic team can discuss the estimate, answer questions and outline the next step without making clinical or cost guarantees.
Watch the demo walkthrough
This short video explains what this automation does and why it matters.
Follow up with a patient who received treatment pricing or a fee estimate but has not booked. Identify cost questions, timing, remaining concerns and the best next action.
Please do not enter real customer, patient, client or case information. Use sample data only.
Demo result
Recommended next action
Why this matters commercially
Best conversion angle
Suggested reply
Service interest
Questions the team should ask
Short summary
Confidence
Recommended next action
Quote status
Likely objection
Best follow-up angle
Suggested reply
Internal summary
Questions the team should ask
In a live setup, this could connect to:
- website forms
- shared inboxes
- Google Sheets
- ad lead forms
- internal team alerts
Want this tailored to your business?
Want this connected to your private treatment price follow-up process?
Request tailored demoWhy this workflow matters
A treatment price follow-up is often not just about cost. The patient may be interested, but unsure what is included, whether a consultation is required first, how long the process might take or what happens before they can book. This demo shows how Jemima AI can turn a patient’s follow-up message into a clear task for the clinic team, so the response addresses the actual concern rather than sending a generic chase.
- Patients may hesitate after receiving an estimate because they need to understand what the price includes.
- Some private treatments require a consultation first, and patients may not know the order of steps.
- Timing, availability and likely process can be just as important as the headline cost.
- A generic follow-up can feel transactional and fail to answer the patient’s real question.
- The AI should identify the decision blocker and suggest a careful next step, while the clinic team controls pricing, suitability and appointment guidance.
Example workflow walkthrough
A patient replies after receiving an estimate for a minor procedure consultation and possible treatment.
The message says they are interested but want to understand what is included, whether a consultation is needed first and the likely timescale.
Jemima AI extracts the treatment area, price question, consultation question, timing concern and contact details.
It identifies the enquiry as a warm follow-up because the patient is still engaged and asking practical next-step questions.
It suggests a reply that offers a clinic team conversation without giving clinical or pricing guarantees automatically.
What the business receives
The clinic receives a focused follow-up summary that explains what is stopping the patient from booking. The team can see that the patient is interested but needs clarification about the estimate, consultation process and timescale. This helps the clinic follow up in a more useful and patient-friendly way while keeping clinical suitability and final pricing under review.
- Estimate requested Private minor procedure consultation and treatment estimate
- Concern mentioned Skin lesion removal enquiry
- Main questions What is included, whether consultation is needed first and likely timescale
- Readiness Warm treatment price follow-up
- Contact details captured Email and phone available
- Recommended team action Clinic team should contact the patient to explain the process, what the estimate covers, consultation requirements and available next steps
- Suggested reply Thanks Priya, we have your message about the treatment estimate. I can ask the clinic team to talk you through what is included, whether a consultation is needed first and the likely next steps. Would you prefer a call today or tomorrow?
How this could be implemented
This can be connected to treatment estimate follow-up emails, enquiry forms, missed call summaries, CRM tasks or patient coordination workflows. In a live clinic, the workflow should create a follow-up task, summarise the patient’s questions and route it to the right admin or patient coordination team. It should not diagnose, confirm suitability, guarantee pricing, provide clinical advice or promise treatment availability automatically.