Private Consultation Enquiry Demo
Private consultation enquiries can be delayed or handled generically when the clinic does not quickly capture the concern, urgency, referral position and preferred contact route.
The patient gets a faster, clearer response about the consultation process and what the clinic team needs to discuss before booking.
Watch the demo walkthrough
This short video explains what this automation does and why it matters.
Capture private consultation enquiries by identifying symptoms or concern area, referral status, urgency, preferred appointment route, contact details 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 consultation forms, inbox, calls, chat or campaign leads?
Request tailored demoWhy this workflow matters
A private consultation enquiry often comes from someone who wants clarity quickly, but the first message may not include everything the clinic team needs to respond properly. The patient may mention a concern, referral status, preferred timing and contact details in a form, email, chat or missed call note. This demo shows how Jemima AI can organise that enquiry so the clinic team can understand the appointment request, identify missing information and follow up without giving medical advice automatically.
- Private consultation enquiries can arrive with important details scattered across long messages, call notes or chat transcripts.
- Patients may mention symptoms or concerns, but the clinic still needs a human team member to handle booking and clinical boundaries.
- Referral status, appointment preference and urgency can affect the next step.
- A generic response can make the patient repeat information they have already provided.
- The AI should summarise the enquiry and support clinic admin, while clinical advice, suitability and appointment decisions remain with the clinic team.
Example workflow walkthrough
A patient sends a message saying they have had ongoing knee pain after running and want a private consultant appointment.
Jemima AI extracts the patient’s name, email, phone number, concern area, referral status and preferred appointment timing.
It identifies that the patient is asking about a private consultation rather than requesting emergency advice.
It suggests a careful reply that explains the clinic team can discuss the appointment process and what information may be needed.
The clinic receives a concise handover so the right team member can follow up with the patient.
What the business receives
The clinic receives a clearer consultation enquiry summary rather than only the original message. The team can see what the patient is asking about, whether a referral has been mentioned, how soon they would like an appointment and which details may still need checking. This helps the clinic respond more quickly while keeping clinical judgement and booking decisions with the appropriate team.
- Enquiry type Private consultant appointment
- Concern mentioned Ongoing knee pain after running
- Referral status No referral yet
- Appointment preference Within the next couple of weeks if possible
- Contact details captured Email and phone available
- Recommended team action Clinic team should contact the patient, explain the consultation booking process and confirm what referral or clinical information may be needed
- Suggested reply Thanks Emma, we have your enquiry about arranging a private consultation. I can ask the clinic team to contact you and explain the booking process, referral requirements and available appointment options. Would you prefer a call today or tomorrow?
How this could be implemented
This can be connected to private consultation forms, paid campaign leads, missed call summaries, live chat or clinic inboxes. In a live clinic, the workflow should create an enquiry summary, flag referral status and appointment preference, and route the request to the booking or patient coordination team. It should not provide diagnosis, clinical advice, treatment recommendations, emergency guidance or appointment guarantees automatically.