Scaling Your Aesthetics Clinic with Automation

Look for the admin your team repeats each day: collecting consultation answers, checking availability and following up after a visit. Make the process clear before deciding which steps to automate.

1. Standardise intake and consultation context

Prepare the information your practitioner needs:

• The service the client wants to discuss
• Relevant treatment history
• Information the practitioner needs to review for contraindications
• The preferred communication channel

These are example areas to adapt to your services and professional requirements. The practitioner reviews the answers, assesses suitability, discusses consent and decides whether to proceed. A form or automated rule cannot make that clinical decision.

2. Add scheduling guardrails

Review the booking rules that fit your team and services:

• Lead-time windows for preparation
• Checks that prevent conflicting bookings by service type
• Assignment of complex treatments to appropriately qualified practitioners

Test these rules with example bookings before relying on them. Check who handles an exception and who confirms any booking change.

Photograph for context.

3. Automate follow-up loops

Use the client’s appointment history and preferences to plan:

• Practitioner-approved post-visit care reminders
• Rebooking prompts at a suitable service interval
• Return-visit campaigns for clients who have agreed to marketing

Email and SMS delivery uses message credits. Keep clinical care and marketing permissions separate, and stop unnecessary messages when a client has rebooked or declined contact.

4. Review how the team is working each week

Review four measures of how the team is working:

• No-show rate
• Rebooking rate
• Bookings following a campaign
• Practitioner utilisation

Compare each measure over time and check the reasons behind a change. Improve one step at a time rather than assuming automation caused the result.

Choose one process to improve first

Start with a repeated task your staff can describe clearly. Agree the trigger, the owner and how they check the outcome.

Managed AI is available on Starter and Growth. Actions follow the team’s permissions and approvals; booking changes need exact confirmation. Clinical governance is a Growth feature, and treatment decisions stay with the practitioner.

Explore the booking workflow in Managed

See how client records support your team