Rates, rosters, guest messages and the owner’s report all run on data your properties already collect. We work out which of those jobs AI should take on first, then build the agents and models that do them, connected to your PMS, booking channels and POS.
WhatsApp · Room 141207:42 Can we check out at 2pm instead of 12? Late checkout added in the PMSDone 
Email · Booking.com reservation07:45 Landing at 23:10 tonight, can you arrange a pickup? Airport transfer booked, driver details sentDone WhatsApp · Room 90807:51 هل يمكن حجز طاولة لشخصين في المطعم الليلة؟ Table for two at 20:00, replied in ArabicDone Email · Room 112007:58 Our room wasn’t made up yesterday afternoon. Passed to the duty manager with the bookingTo Rania An example guest message agent with example figures.
You'll speak to the senior team from the first call. 
Intersect AI is Certified in the Claude Partner Network Services Track. Most hotels bought each system separately, years apart. The team fills the gaps between them by hand, and that work grows with every new channel.
WhatsApp, email, OTA inboxes and the front desk phone, each checked by whoever has a minute between check-ins.
WhatsAppEmailOTALogged in the PMSPrices change when someone has time, usually from last year’s numbers and a look at what the hotel next door is charging.
Housekeeping and F&B shifts follow the same pattern every week, whether the hotel is at 50% or full.
Most of our hospitality work lands in one of these areas. Which comes first depends on where your team’s hours actually go.
Demand forecast by date and room type, rate suggestions and a better channel mix, so you lean less on OTA commission.
Pre-arrival, in-stay and post-stay messages answered, with offers based on what the guest booked last time.
Workload forecast from arrivals, departures and events, so shifts follow occupancy.
Faults in chillers, lifts and kitchen equipment spotted early, and energy use tuned to which rooms are actually occupied.
Covers forecast by outlet and day, dishes ranked by margin, and waste tracked against what was bought.
Group and corporate enquiries qualified and quoted quickly, and marketing spend measured against direct bookings.
Discover, develop, deploy. The same team does all three, so the advice has to work on a busy Friday night.
We spend time at the property with front office, revenue, housekeeping and finance, and count the hours each job takes.
AI ConsultingWe build the first agent or model on your own data, tested against last season’s bookings and guest messages.
AI Agent DevelopmentIt goes live in the screens your team already uses, with a person checking its work for the first weeks.
The 90-day programmeMost hotels start with one agent or the 90-day programme. Every project begins with a call, so the starting price you see here is close to the number you get.
One agent that takes a whole job off your team, connected to the tools you already use. Live in around five weeks.
See agent buildsDiscovery across the business, then several agents built and live inside 90 days. Our most common starting point.
See the programmeEnterprise discovery projects start from AED 250,000. Custom AI development is quoted per project after scoping.
Enterprise AI Consulting“Intersect AI learned our complex procedures and found non-intrusive ways to capture the data, so we can finally apply AI to deliver better patient outcomes.”
Julian AndrieszCEO, Verita No. We build on top of the PMS, channel manager and POS you already run, and write the results back into them. If a system has no API, we work from the reports and exports it already produces.
Yes, in Arabic, English and the mix guests actually type. Complaints and anything unusual go straight to a named person on shift, with the booking attached.
A single agent, such as guest messaging, starts from AED 55,000. The 90-Day AI Agent Enablement Programme, with discovery and several agents built, starts from AED 110,000. Groups with several properties usually start with a discovery project.
No. The model suggests a rate and shows the reasons behind it. Your revenue manager approves, changes or ignores each one, and the model learns from those decisions.
It stays where your IT team wants it. We are model and cloud agnostic, each agent only sees the data it needs, and every action is logged.
A couple of sentences is enough. One of the senior team reads every enquiry and replies with how we would approach it.
Rather talk it through? Book a call with the team
You'll speak to the senior team from the first call. 
Owner's report drafted by Monday
Group enquiries quoted the same day
HubSpot
Google Ads