AI Follow-Up Feature, How It Fits Your Scheduling Platform
Follow-up messages in SchedulingKit are not written by AI.
On Standard and above, a Workflow sends an email or SMS you write to the client (or the host) a set time after an appointment, for example a thank-you with a link to book again. Review requests are separate: when you mark a booking completed, SchedulingKit emails the client a private review link after a delay you choose (1 to 168 hours, 24 by default), and approved reviews appear on your booking site. The AI part sits at the front of the cycle: the AI chatbot add-on ($12/month) and the AI receptionist add-on ($39/month, Business) answer questions about your services, check availability and create bookings, including the rebooking a follow-up message invites. Together they close the loop from one appointment to the next without you sending messages by hand.
In SchedulingKit, follow-up after an appointment is handled by Workflows and review requests you set up once, while the AI chatbot and AI receptionist add-ons handle questions and new bookings. This page explains how those pieces fit together and what the AI does and doesn't do. Explore All Features.
Why AI Follow-Up Matters
In SchedulingKit, follow-up after an appointment is handled by Workflows and review requests you set up once, while the AI chatbot and AI receptionist add-ons handle questions and new bookings. This page explains how those pieces fit together and what the AI does and doesn't do. Follow-up messages in SchedulingKit are not written by AI. On Standard and above, a Workflow sends an email or SMS you write to the client (or the host) a set time after an appointment, for example a thank-you with a link to book again. Review requests are separate: when you mark a booking completed, SchedulingKit emails the client a private review link after a delay you choose (1 to 168 hours, 24 by default), and approved reviews appear on your booking site. The AI part sits at the front of the cycle: the AI chatbot add-on ($12/month) and the AI receptionist add-on ($39/month, Business) answer questions about your services, check availability and create bookings, including the rebooking a follow-up message invites. Together they close the loop from one appointment to the next without you sending messages by hand.
As part of SchedulingKit's scheduling platform, ai follow-up works alongside your connected calendars, notifications and client records.
AI Follow-Up Capabilities
Key Features
AI Follow-Up Use Cases
How It Works
How It Works
AI Follow-Up — SchedulingKit
Example step 1: Thank-you workflow
A massage studio creates a workflow on its 60-minute massage: 3 hours after the appointment, send an email thanking the client with aftercare tips and the booking page link.
Example step 1: Thank-you workflow
Step 2: Review request
The therapist marks the booking completed. 24 hours later the client gets an email with a private link, leaves 5 stars and a comment, and the owner approves it for the booking site.
Step 2: Review request
Step 3: Rebooking reminder
A second workflow sends an SMS three weeks later to clients who opted in: "Time for your next massage? Book here" with the booking link.
Step 3: Rebooking reminder
Step 4: AI takes the booking
The client asks the website chatbot whether Saturday morning is free. The chatbot checks availability and books the 10am slot.
Step 4: AI takes the booking
AI Follow-Up Best Practices
Learn more
- 1
Send a thank-you workflow a few hours after the appointment while the visit is still fresh.
- 2
Include your booking page link in every follow-up so rebooking is one click away.
- 3
Set the review request delay to match your service; 24 hours works for most, longer for results that take days to show.
- 4
Write a separate follow-up workflow for each service so a post-haircut message doesn't read like a post-consultation one.
Frequently Asked Questions
AI Follow-Up
Further Reading
- G2: Appointment Scheduling Reviews — Peer-reviewed ratings of scheduling tools.
- Capterra: Scheduling Software Reviews — Compare features and pricing across platforms.
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