Lead to treatment booking
Inquiry arrives from web or messenger
→Booking agent clarifies service and timing
→Contraindication or sensitive questions go to qualified staff
→Confirmed booking is written to booking system
Four core automation patterns for this operating system. Each flow shows where AI acts, where business rules apply and where human approval remains mandatory.
These are implementation patterns, not claims that a specific company already uses the system. They must be adapted to the actual software stack, permissions, data and policies before launch.
Inquiry arrives from web or messenger
→Booking agent clarifies service and timing
→Contraindication or sensitive questions go to qualified staff
→Confirmed booking is written to booking system
Repeat-visit or interest signal is detected
→Membership agent matches approved package options
→Commercial exception requires manager approval
→Result is recorded for lifecycle follow-up
Client reaches retention trigger
→AI checks history and segment
→Approved re-engagement is prepared
→Response and next action are logged
Booking load is monitored
→Underload or overload threshold is crossed
→Operations receives suggested action
→Manager approves pricing/staffing changes