The situation
- The team handled event, booking and service inquiries across phone, website and WhatsApp.
- Customers often sent incomplete information, requiring several manual follow-up messages.
- Busy periods made it difficult to respond consistently while maintaining a premium customer experience.
Kairox solution
Kairox designed the automation around one clear principle: the AI employee should handle routine intake and organization, while the human team keeps control of judgment, relationship-building and sensitive decisions.
- Created an AI booking assistant that collected event type, date, guest count, budget range, preferred package and contact details.
- Added response templates for approved FAQs such as location, service scope, timing and next steps.
- Built handover rules for VIP, urgent or custom-package inquiries.
- Generated a clean inquiry summary for the booking team.
Workflow overview
Booking inquiryAI collects detailsPackage/FAQ responseTeam summaryFollow-up scheduled
Outcome areas
Reduced back-and-forthThe team received more complete booking details upfront.
Consistent premium toneCustomers received a polished initial response.
Improved inquiry routingUrgent and high-value requests were easier to identify.
Better planning dataManagement could review inquiry types and demand patterns.
“The assistant helped us keep a premium tone even when the team was busy.”
What made the workflow effective
The workflow was practical because it focused on a repeated operational bottleneck. The AI did not try to replace human judgment. It collected information, reduced delay, organized records and made handover easier.
KPIs to measure
- Complete inquiry rate
- Response speed
- Qualified bookings
- Custom requests routed