Customization and AI Behavior
Business Rules API Requirements
Eligibility & Validation RulesTraining & Fine-Tuning Data Requirements
Historical Data for AI Training – Request anonymized historical data: Booking Patternsdate_range_start, date_range_end, anonymized=truePurpose: Understand booking patterns, peak times, conversion factors
Data needed: timestamps, service types, booking lead times, completion rates, cancellation reasons, interaction counts before booking Conversation Transcripts (if available) – Anonymized call transcripts, common questions and objections, successful booking flows, cancellation/modification patterns. Service Performance Metrics – Popular services, seasonal demand, geographic distribution, pricing sensitivity. Data Privacy Commitments
- All training data fully anonymized (no PII)
- Data used solely for AI improvement
- Retention limited to training purposes
- Compliance with GDPR and CCPA processing requirements
- Data processing agreement (DPA) established before transfer
Branding & Content APIs
Dynamic Script Content- Scripts and content cached with 24-hour TTL
- Webhook notifications (
content.updated) for immediate updates - Version numbers enable cache validation