BirchPress Scheduler stores appointments as the birch_appointment custom post type, with start time, end time, customer name, customer email, and selected service held in _bp_* postmeta. Services live as birch_service, locations as birch_location, and staff as birch_staff custom posts, with prices and durations on each service post's meta. Calendar sync to iCal and Google Calendar runs through extra meta keys.

That gives admins a real conversational layer over the BirchPress scheduling screen. A clinic owner asks how many appointments are booked tomorrow, the bot returns counts per staff and per service. A team lead asks which service generated the most revenue this month, the bot reads birch_appointment posts with completed status and totals against the configured birch_service price. An assistant asks who is booked at 11am tomorrow, the bot returns the customer name from one postmeta query.

Multibot lets a separate public availability bot run on the booking page with read access only to birch_service durations and open windows. Display conditions lock the admin bot to staff roles. Conversation logging records every prompt and answer inside WordPress for ongoing accuracy audits as services and staff lists evolve.

BirchPress Scheduler runs small clinics, therapy practices, and salon-style ops where the front desk juggles phone calls, walk-ins, and the calendar view all at once. The BirchPress admin is fine for browsing one staff schedule at a time, but every analytical question becomes a filter, a date range, and a click trail through the appointments list. How many appointments tomorrow, which staff member is overbooked, what did consultations bring in this month, those exist as data and live nowhere convenient.

A plain-English layer over birch_appointment posts collapses that work. A clinic owner can ask the same question on a phone between sessions and get a real number, not a guess, because the model reads the same posts the calendar reads. For front-desk staff the win is even sharper.

A walk-in asks for the next free slot with a specific provider, instead of paging through the calendar the front desk asks the bot. A regular calls to reschedule, the receptionist gets the upcoming appointment by name in one line. The data was always there, the bottleneck was the interface.

SleekAI keeps that interface in WordPress, scoped to the right role, with every conversation logged.