The repetitive work, handled
Pickup reports, pricing analysis, payroll reviews, daily sales, arrival prep: the work that eats your morning, built and delivered before you sit down. You set it up once; it runs every day.
Your team already knows what to do. They just don't have the hours to do it all. Otel handles the analysis, the monitoring, and the manual work, across every department, around the clock.
Book a demoLive pulls from your PMS, RMS, payroll, F&B and comp set. Real context across your whole stack.
10×
Output
Same team. Same systems.
24/7
Always On
Works overnight. Works weekends. Never takes a day off.
6
Departments
Revenue · F&B · Payroll · Operations · Procurement · Guest Reviews
Pickup reports, pricing analysis, payroll reviews, daily sales, arrival prep: the work that eats your morning, built and delivered before you sit down. You set it up once; it runs every day.
Some problems you don't know to ask about. Otel watches every system and surfaces them on its own: a soft date with restrictions still on, a complaint theme repeating across reviews, payroll creeping up in one department, a purchase order to a supplier that isn't on your list. You're not relying on someone to spot it.
The shared memory underneath every agent, and its memory of your hotel specifically. Your rate strategy, who you compete with and where you like to sit against them, the suppliers you actually use, the year you were closed for renovation. Generic AI knows what a hotel is. Otel knows yours.
Case Study · O'Callaghan Collection
A four-property hotel group across Dublin and London. The revenue team knew where the gaps were. They just couldn't act on every date, every day. One Flow changed that: review the full forward calendar overnight, flag underpriced dates versus comp set, and have recommendations ready before the first cup of coffee.
+8.6%
RevPAR Growth
vs. same period last year
110.4
RevPAR Index
outperforming the compset
+5.0%
Above Budget
combined Jan–Feb room revenue
~120/mo
Rate Actions
via Flows, every month
“I can't personally check every hotel every day but Otel AI gives me comfort that I can always see where the opportunities are, where the risks are, and that the team is actually acting on them.”
Joanne McDonnell Group Cluster Manager O'Callaghan Collection
120 rate actions a month. Same team, same system, one Flow.
Built around how hotel teams already work.

Direct connections to PMS, RMS, F&B and payroll. Not dashboards bolted on top. The actual systems you run on.

Real-time state across every system. Nothing waits for the overnight sync.

Actions span revenue, operations, F&B and front desk. The handoffs happen on their own.

Every recommendation shows its work. Click any decision to see which system was read and why the call landed where it did. Nothing's hidden behind the model.

Multi-property out of the box. Drill into one hotel or compare across the group.

Operators shape what we build next. Every line on the roadmap traces back to a hotel that asked for it.
Case Study · Fitzpatrick Castle Hotel
113 rooms in Killiney, Co. Dublin. Mark and his team are planning a 15-room extension and the bank asked for projections — month-by-month revenue contribution, a post-expansion budget, and a presentation. Normally that's weeks of back-and-forth between the GM and revenue manager pulling data from Guestline. Instead, Mark gave Otel the context — seasonality, expected mix, achieved rate — and the full pack came back inside half an hour.
20 mins
Time to bank-ready projections
vs 3 weeks of back-and-forth
15 rooms
Rooms in appraisal
the expansion case being modelled
1 prompt
Excel + Deck + Budget
generated as one pack
2025
2025 actuals
grounded in the hotel's own data
“This is probably 20 minutes work. It's not far off being able to send to the bank. If I had to pull this stuff from reports and present it, it might take three weeks of back and forth between me and my team.”
Mark Scott-Lennon Managing Director Fitzpatrick Castle Hotel
A bank-ready expansion case, in the time it takes to make a coffee.