ScheduleWiz — Appointment scheduling SaaS
AI deployment blueprint for Appointment scheduling SaaS. Automates no show reduction using Stripe, Twilio, Google Calendar, Claude.
AI Readiness Score
Has appointment, customer, and billing data but may need enrichment
Small team but technically capable with existing AI integration
Budget supports moderate AI implementation with good ROI potential
Clear API ecosystem with Stripe, Twilio, Google Calendar already in place
3-6 month timeline realistic for phased rollout
Multiple third-party APIs but well-documented platforms
How This System Works
Architecture
Multi-agent system focused on customer success through intelligent no-show prevention and streamlined onboarding. Integrates with existing SaaS infrastructure (Stripe, Twilio, Google Calendar) to provide automated value-add services.
Data Flow
Customer appointment data flows from Google Calendar to the No-Show Predictor, which analyzes patterns and triggers the Smart Reminder Orchestrator. New customers automatically trigger the Integration Setup Automator for seamless onboarding. All agents share customer insights to continuously improve effectiveness.
Implementation Phases
Deploy core no-show reduction functionality
Automate customer integration setup
Fine-tune algorithms and expand to more use cases
Prerequisites
- -Customer consent for automated communications
- -API access to Google Calendar, Twilio, Stripe
- -Multi-tenant data architecture setup
Assumptions
- -Customers maintain Google Calendar as primary scheduling
- -SMS/email are effective communication channels
- -Historical appointment data is available for training
Recommended Agents (3)
How It Works
- 1Fetch upcoming appointments from Google Calendar
Query appointments 24-48 hours ahead with customer metadata
Google Calendar API - 2Analyze customer history and appointment patterns
Score based on past no-shows, booking time, appointment type, weather, day of week
Claude Sonnet - 3Generate personalized intervention strategy
Create tailored reminder message and follow-up sequence
Claude Sonnet - 4Execute intervention via SMS/email
Send personalized reminders with easy reschedule options
Twilio API
Data Flow
Inputs
- Google Calendar — Upcoming appointments with metadata(JSON)
- ScheduleWiz DB — Customer history, no-show patterns, preferences(JSON)
Outputs
- Twilio — Personalized reminder messages(SMS/Email)
- ScheduleWiz DB — Risk scores and intervention logs(JSON)
Prerequisites
- -Customer consent for automated communications
Error Handling
Queue and retry with exponential backoff
Fallback to email, log for cleanup
Integrations
| Source | Target | Data Flow | Method | Complexity |
|---|---|---|---|---|
| Google Calendar API | No-Show Predictor | appointment_data | api | moderate |
| Twilio API | Smart Reminder Orchestrator | message_delivery | api | low |
| ScheduleWiz Database | All Agents | customer_history | direct | low |
| Stripe API | Integration Setup Automator | billing_config | api | moderate |
Schedule
0 */6 * * *0 9,15 * * *Recommended Models
| Task | Recommended | Alternatives | Est. Cost | Why |
|---|---|---|---|---|
| No-show pattern analysis | Claude Sonnet 3.5 | GPT-4 | $30-50/month | Strong analytical capabilities for pattern recognition in appointment data |
| Personalized message generation | Claude Haiku | GPT-3.5 Turbo | $15-25/month | Fast, cost-effective for high-volume message personalization |
| Integration setup guidance | Claude Sonnet 3.5 | GPT-4 | $10-15/month | Complex reasoning needed for multi-step technical setup instructions |
Impact
What Changes
Quality Gains
- ✓30%+ reduction in customer no-show rates
- ✓80% faster customer onboarding
- ✓Improved customer satisfaction through personalized communication
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What's next?
This blueprint is a starting point. Fork it, remix it, or build your own.