The operating advantage for hotels.

The AI layer that gives your mornings back

Otel reads every system your hotel runs on as one hotel, then hands your team each decision with the case already made.

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Ask Otel anything

What are the top most important insights you can give me about the business?
Grendon CastleOpus 5High
How does pickup compare to last year?What needs my attention today?How are we pacing this month?What's net revenue after commission?Where are we behind budget?
The GreenThe DavenportFitzpatrick CastleThe Johnstown EstateThe MontWoodenbridge Hotel & LodgeThe Sandy Mount HotelJDP Hotels GroupThe HendrickPembroke HotelThe Address - ConnollyThe Killarney ParkThe GreenThe DavenportFitzpatrick CastleThe Johnstown EstateThe MontWoodenbridge Hotel & LodgeThe Sandy Mount HotelJDP Hotels GroupThe HendrickPembroke HotelThe Address - ConnollyThe Killarney Park

Results

Measured in hotels running Otel.

See more customer stories
  • +8.6%

    RevPAR in three months

  • 20+

    Hours a week back from manual reporting

  • 100+

    Hotel systems connected, including legacy

  • 10×

    Output on the same headcount

The work

Designed to take the work off your team.

Supercharge your team. Gain real efficiencies. Get your mornings back.

One operational layer.

Otel connects the systems you already run and reads them as one hotel. Nothing migrates, nothing gets replaced, even the ones with no API.

What needs my attention today?
Running cross-department check
Revenue.38s
Comp set
Marlin House dropped $30 Saturday. Created ops task: review rate signage.
Group block
Westmoor block still at 0%, 33 days out. Flagged to Roisin.
Payroll.47s
Labor
Bar labor 5.2% over target, 3rd day. Routed to Conor for sign-off.
Roster
Three extra staff, no revenue lift. Looped in Catherine.
Guest1.24s
Frontdesk
VIP arrival 3pm, Mr Chen. Briefed the desk with preferences.
Review
3-star on the check-in wait. Response drafted.

Ask anything, on your own data.

One question, checked across revenue, payroll, guest and ops, answered in seconds.

Automate the manual reporting.

Pickup, pacing, daily sales, payroll. Built once, delivered before you sit down.

Agents that watch while you sleep.

Give one a job in plain English. It only speaks when something needs you.

Every answer shows its working.

Nothing is a black box. Every number traces back to the system it came from.

Case study · The Johnstown Collection

Two curious users became ten, across five departments.

An independent estate in Co. Meath, plus Trim Castle, under one commercial team. Nobody was told to use AI. It spread because the answers were useful.

2 → 10

Direct users

across five hotel functions

23

Recurring reports

and control checks running

1.5 hrs

Estimated daily saving

on pickup, across two hotels

Live

Answers in meetings

seconds, not hours

The Johnstown Estate, Enfield, Co. Meath

The biggest change isn't that reports are quicker. It's that people are now asking questions they wouldn't previously have had the time or data to answer.

The Johnstown Collection

Seán Reid Commercial Director The Johnstown Collection

Revenue, reservations, events, marketing and management, on one connected set of answers.

Who it's for

Pick your morning.

One view your whole team can stand behind, doing a different job for each.

Craft, built in

It knows the work on day one, and your hotel from the first night.

An RMS learns by watching your bookings for a year. Otel reads your history the first night.

  • Years of craft, built in

    Trained on the job beside the people who do it, never on your data.

  • Your history, remembered

    Reads years of your own trading on night one, and keeps every snapshot after.

  • Your context, encoded

    Your rates, your segments, who you compete with, and the renovation that breaks the comparison.

That's the difference between an analyst that's done the job and a chatbot you upload your files to.

SECURITY

Your team is already using AI.
Just not safely.

Right now someone is pasting a rate sheet, a guest list, a payroll export or last month's P&L into a public chatbot. Otel gives them the same speed inside a certified environment, on your own hotel's data.

    Visit our Trust Centre →
    ISO 27001 Certified

    ISO 27001 Certified

    The international standard for information security management.

    GDPR

    GDPR Compliant

    Your hotel's data is handled to GDPR requirements, and the practices behind that are reviewed and maintained.

    SOC 2

    SOC 2 Type II

    We're in our SOC 2 observation period, with estimated completion in September 2026.

    Case study · O'Callaghan Collection

    The Alex went from reactive pricing to about 120 rate actions a month.

    A four-property group across Dublin and London. One Flow reviews the forward calendar overnight.

    +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

    The Davenport Hotel, Dublin - O'Callaghan Collection

    I can't personally check every hotel every day but Otel 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.

    Tech Funding NewsThe Business PostHospitality NetSilicon RepublicPlayfairHotel Yearbook

    Ready when you are

    Get your mornings back.

    See it running on your own hotel's numbers. Twenty minutes, your data, no migration.

    Book a demo How The Alex lifted RevPAR 8.6%