Guest messaging agents
Availability, rates, directions, and policies answered instantly on every channel — with booking links attached and complex requests routed to staff.
Olvoma · Industries · Travel & Hospitality
Every guest answered. Every night counted.
Hospitality is answering the same question at 11pm with a smile. We build the systems that answer instantly, book directly, and show you occupancy and revenue without the morning export.
01Where the day goes
The hours nobody budgets for
Inquiries
Booking questions arrive on five channels at all hours, and the slow answers become someone else's reservations.
Direct bookings
The OTA takes its cut because your own booking path is where inquiries go to die.
Reviews
Feedback arrives everywhere and gets answered nowhere, and the patterns in it go unread.
Numbers
Occupancy, ADR, and channel mix live in yesterday's export, not today's decision.
Service scales when the routine answers itself and the numbers show up on their own.
02What we build here
Built for travel & hospitality
Direct booking flows
A booking path on your own site that's faster than the OTA — connected to your real availability and payments.
Review operations
Reviews gathered, answered in your voice with approval where you want it, and mined for the patterns worth fixing.
Revenue dashboards
Occupancy, ADR, RevPAR, and channel mix live across properties — with pace against last year, not just last week.
03Example systems
Systems we would put in
Honest examples, not case studies: this is what a first working system typically looks like in travel & hospitality, and the effect we'd agree to measure it by.
24/7 reservations agent
An agent on chat, email, and phone that quotes real availability, answers the standard fifty questions, and completes direct bookings.
The point
The 11pm inquiry becomes a booking
OTA-to-direct nudge
Past guests and repeat inquiries steered to your direct path with better rates or perks — automatically, within your rules.
The point
Commission stays in the house
Guest feedback loop
Post-stay outreach, review responses drafted for one-tap approval, and a monthly pattern report that names the fixable things.
The point
Reviews answered, patterns acted on
04Integrations
We connect to what you already run
We don’t ask you to change your system of record. We connect to it — through an API, EDI, or direct data access. And where the integration doesn’t exist, we build it.
Works alongside
- Cloudbeds
- Mews
- Little Hotelier
- Booking.com
- Expedia
- Airbnb
- OpenTable
- Toast
- Stripe
- Twilio
05How we work
Product speed, engineering quality
- 01
Learn the operation
We sit inside the process and watch how it runs today — the steps, the exceptions, the judgment calls, and every tool it passes through.
- 02
Show a working version
Not a mockup and not a deck. The first version you can actually use, in weeks rather than quarters.
- 03
Put it into real work
The system goes into your environment and connects to what you already run. It takes the routine path and hands the rest to a person.
- 04
Measure, then extend
We agree what better means before we start — time, errors, throughput — and report against it. The next process begins once the first one has earned it.
06Questions we hear
Fair questions
Guests expect a human touch.
They expect an instant, correct answer — and warmth where it matters. The agent handles the fifty routine questions; your staff gets time back for the moments that make the review.
We're a small operation. Is this for us?
Our default client is a real operation, not an enterprise. If a process eats hours every day, the math usually works from a handful of people up.
Where does our data live?
In your environment, under your access rules. Every automated decision is visible, explainable, and reversible, and the code, data, and documentation belong to you.
What does this cost?
A first working system is a fixed-scope, fixed-price project — you know the number before we start. We agree what better means (time, errors, throughput) and report against it.
Start with the process that costs you most
Tell us about the work your team dreads. We'll come back with what a working system would look like — and what it would take to prove it.