It links to your existing booking system rather than replacing it. SleekAI captures intent - which class, which trial, name and contact - and pre-fills details, then sends prospects to Mindbody, Glofox, ClassPass-integrated tools, or your custom booking page to confirm. Single source of truth on capacity stays in the booking system, which avoids double-bookings and the reconciliation work that comes with parallel scheduling tools.

Updates to your schedule, trainer page, or pricing reflect immediately - SleekAI reads live content on every request, so a Tuesday morning instructor swap shows up in chat replies before the next prospect asks. There's no re-training step and no risk of the bot recommending a class that was cancelled last week. For studios that change schedules weekly, this is the strongest argument against fine-tuned vendor bots.

Yes - multibot supports per-location bots, each scoped to that studio's schedule, trainers, and amenities. Shared brand-level content - cancellation policy, freeze rules, the company story - can sit in a common knowledge pool. A prospect on the Mitte location page gets the Mitte schedule; same prospect on Charlottenburg gets Charlottenburg. Cross-contamination risk drops to zero.

It can. Configure the system prompt to mention the unlimited monthly pass once a prospect has shown interest in three or more classes per week, or to suggest the new-member promo on a first-class booking. Light nudges work better than aggressive scripts in fitness - the trial class is the real conversion event, and the bot's job is to get the prospect into that class without burning trust.

Both. Boutique studios typically use a single bot with one bot scope. Franchises run multibot with shared brand FAQ content - cancellation, freeze, master pricing - and per-location class data, trainer bios, and amenities. The architecture handles either pattern without major reconfiguration. Migration from boutique to multi-location, when a studio expands, is a config change rather than a rebuild.

Yes - useful for studios in tourist areas, international neighbourhoods, or expat-heavy districts. Replies come in the prospect's language even when your timetable and trainer bios are English-only. For a studio in a multilingual city, this measurably broadens the prospect pool - someone who wouldn't email in their second language will use a chat in their first.

Waitlist mechanics belong in the booking system - capacity tracking, automatic promotion when slots open, notification timing - so SleekAI doesn't try to own them. The bot can tell a prospect a class is full, suggest the next available alternative, and link to the booking system's waitlist signup. The booking platform handles the actual queue and notifications.

Configure the bot to acknowledge injury or medical history without giving advice - 'good to know, please mention this to your trainer at the start of class'. Recommendations should default to gentler classes when injuries are mentioned. Anything that looks like a medical question gets deferred to a clinician. Studios that take their duty-of-care seriously appreciate the clear refusal behaviour.