Treatment Plan Follow Up Demo
Treatment plans can go cold after they are sent because finance, timing or decision concerns are not followed up quickly or consistently.
The patient gets a helpful follow-up that addresses their questions and makes it easier to decide whether, when and how to proceed.
Watch the demo walkthrough
This short video explains what this automation does and why it matters.
Follow up with a patient who has received a dental treatment plan or estimate but has not yet booked. Identify likely objections, timing, finance concerns and the best follow-up message.
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 treatment plan follow-up process?
Request tailored demoWhy this workflow matters
A treatment plan follow-up is often not a cold lead. The patient may still be interested, but they may need help understanding payment options, timing, what happens next, or whether the treatment can fit around their life. This demo shows how Jemima AI can turn a patient’s reply into a clear follow-up task for the practice, so the team knows what is holding the patient back and how to respond helpfully.
- Treatment plans often stall because the patient has one or two unresolved questions rather than because they have lost interest.
- Finance, timing and uncertainty about the next step are common reasons patients delay booking.
- Follow-up messages can be missed if they stay as unstructured emails, calls or chat notes.
- The treatment coordinator needs to know whether the patient is warm, hesitant, price-sensitive or ready to book.
- The AI should support a helpful follow-up, not pressure the patient or provide clinical advice.
Example workflow walkthrough
A patient replies after receiving an Invisalign and whitening treatment plan.
The message says they are interested but want to understand payment options and whether they can start after a holiday.
Jemima AI extracts the treatment plan, estimated value, contact details, timing concern and finance question.
It identifies the patient as a warm follow-up because they are still engaged and asking practical questions.
It suggests a reply that acknowledges both concerns and offers a conversation with the treatment coordinator.
What the business receives
The practice receives a clear view of why the patient has not booked yet. Instead of guessing whether the treatment plan has gone cold, the team can see that the patient is interested but needs payment and timing information. This helps the treatment coordinator prioritise the follow-up, respond with empathy and move the conversation forward without making clinical or finance promises automatically.
- Treatment plan Invisalign and whitening
- Estimated value GBP 3,800
- Situation Patient has received the plan but has not booked
- Main questions Payment options and whether treatment can start after a holiday
- Readiness Warm follow-up opportunity
- Recommended team action Treatment coordinator should contact the patient to discuss payment information and timing options
- Suggested reply Thanks Emma, that makes complete sense. I can ask our treatment coordinator to talk you through the payment options and how the timing could work around your holiday. Would you prefer a quick call today or tomorrow?
How this could be implemented
This can be connected to treatment plan emails, follow-up forms, missed call summaries, chat transcripts or CRM notes. In a live dental practice, the workflow should create a follow-up task, summarise the patient’s blocker, and route the enquiry to the right person. It should not confirm clinical suitability, final pricing, finance approval or appointment availability without review by the practice team.