Leads, quotes, and follow-ups
Capture WhatsApp and email inquiries, identify missing details, draft replies, create leads, send quotes, and schedule follow-ups.
Built by hoteliers, with hoteliers, for hoteliers.
Your hotel’s AI brain .
FrontDesk AI is being built to help independent hotels coordinate guest communication, leads, quotes, bookings, payments, housekeeping, staff tasks, escalations, and pricing decisions from one AI-native system.
We are currently speaking with hotel owners and GMs to understand the real operational problems that existing hotel software does not solve well enough. Drop us an email below.
The operating gap
Hotels already have software. But the daily coordination still happens manually.
A PMS may store bookings. A channel manager may update OTA inventory. WhatsApp may handle guest messages. A spreadsheet may track follow-ups. A task app may manage housekeeping.
But someone still has to connect everything: reply to guests, create leads, send quotes, follow up on payments, check room readiness, chase delayed tasks, escalate issues, and tell the owner what needs attention.
FrontDesk AI is being designed to become that connective AI brain for the property.
What FrontDesk AI is being built to coordinate
One AI system across guest-facing and back-of-house workflows.
The vision is not to automate one narrow task. The vision is to help owners and GMs keep the property moving across sales, operations, service, and revenue.
Bookings and payments
Convert accepted quotes into bookings, send payment URLs, monitor pending payments, and surface bookings awaiting review.
Housekeeping and room readiness
Track arrivals, room status, cleaning tasks, proof checks, delays, and escalations before guest experience is affected.
Guest requests and service tasks
Turn guest requests into routed tasks for housekeeping, front desk, maintenance, kitchen, or service teams.
Maintenance and escalations
Create maintenance tasks, identify recurring issues, escalate delayed work, and keep supervisors informed without constant chasing.
Pricing recommendations
Use booking pace, occupancy, competitor movement, and owner-approved guardrails to recommend pricing changes.
Why existing tools fall short
Traditional hotel software is mostly a system of record. FrontDesk AI is being designed as a system of action.
Existing tools are useful, but they often stop at storing data. The harder problem is deciding what needs attention, coordinating the next step, and keeping humans in control.
Typical hotel software
- Records bookings and room inventory
- Syncs rates and availability with OTAs
- Stores guest data and communication history
- Shows tasks only after humans create them
- Requires staff to notice what is delayed
- Leaves owners to ask for updates manually
FrontDesk AI direction
An AI brain for hotel operations
- Reads guest conversations and extracts intent
- Creates leads, quotes, bookings, and follow-ups
- Turns guest requests into operational tasks
- Flags room readiness and housekeeping exceptions
- Escalates delayed work before it hurts reviews
- Proposes pricing actions with owner approval
Human control by design
AI should reduce manual chasing, not remove operational control.
FrontDesk AI is being designed around configurable autonomy. For simple actions, AI may draft, send, schedule, or create tasks automatically. For sensitive decisions, it should request approval from the owner, GM, or department head.
Auto-answer
Guest FAQs and routine replies
Fast responses for approved policies, amenities, timings, and basic property information.
Auto-act
Tasks, follow-ups, and reminders
Create operational work, schedule follow-ups, route requests, and notify teams.
Approval required
Rates, discounts, refunds, and exceptions
Request owner or GM approval before changing prices, confirming exceptions, or applying sensitive actions.
Built for independent hotel realities
Especially useful where operations still depend on WhatsApp, phone calls, spreadsheets, and constant supervision.
Independent hotels
Owner-led or GM-led properties with lean teams.
Boutique properties
High-touch guest experience with fragmented workflows.
Resorts and villas
More service requests, maintenance work, and guest coordination.
Homestays and small groups
Properties that need automation without enterprise complexity.
Early access research
Help shape the first version of FrontDesk AI.
We are currently interviewing hotel owners and GMs to understand what problems are painful enough to solve first. Your feedback can directly influence the workflows, controls, and pricing expectations we prioritize.
Influence what gets built
Tell us which workflows genuinely matter in daily hotel operations.
Benchmark your pain points
We can share patterns we are hearing from other independent hotels.
Early product access
Research participants may be invited to the first version.
Preferential pricing
Early participants may receive preferred launch pricing if the product is relevant.
FD
Who we are
Hoteliers who were software engineers before entering hospitality.
We have operated hotels ourselves and have felt the gap between what hotel software promises and what day-to-day operations actually require.
Existing tools often solve narrow problems, become too expensive for independent properties, or fail to connect the messy real-world workflows around guests, staff, follow-ups, rooms, payments, and service quality.
FrontDesk AI is our attempt to build the AI-native hotel software layer we wish existed: practical, affordable, operationally aware, and designed with hoteliers from the beginning.
FAQ
Questions hotel owners usually ask first.
Is FrontDesk AI a PMS?
Not just a PMS. The product direction is an AI-native hotel operations system. It may connect with or eventually include PMS workflows, but the core focus is helping hotels coordinate leads, communication, bookings, payments, tasks, guest requests, housekeeping, escalations, and pricing decisions.
Will this replace my existing PMS or channel manager?
Not necessarily. Many hotels already have reservation or channel tools. FrontDesk AI is being designed to solve the operational gaps around communication, follow-ups, task routing, owner visibility, and AI-assisted action. Integrations with existing tools can be part of the product direction.
Will AI reply to guests automatically?
That should be configurable. Hotels should be able to decide where AI only drafts, where it can send automatically, and where human approval is required. The goal is to make automation useful without losing control over guest experience.
What actions should require owner or GM approval?
Sensitive actions such as discounts, refunds, major rate changes, room upgrades, booking exceptions, and policy exceptions should be approval-gated. Routine follow-ups, task creation, and simple guest replies can be more automated depending on hotel preference.
Who is this being built for?
Independent hotels, boutique properties, resorts, villas, homestays, and small hotel groups where daily operations still depend heavily on WhatsApp, phone calls, spreadsheets, staff memory, and manual supervision.
Why are you interviewing hoteliers now?
Because hotel operations are too contextual to design from assumptions. We want to understand which problems are actually painful, which workflows need AI, and what would be simple and affordable enough for independent hotels.
Is this a sales call?
No. The current call is a research conversation. We are trying to learn from hotel owners and GMs before finalizing the first version. If the product becomes relevant for your property later, we may invite you for early access.
What kind of problems do you want to learn about?
Guest inquiries, WhatsApp and email workflows, quote follow-ups, payment delays, room readiness, housekeeping visibility, guest requests, staff coordination, maintenance tasks, escalation handling, pricing decisions, and owner/GM reporting.
Share your hotel operations perspective
Help us build hotel software that actually understands daily hotel operations.
We are currently scheduling short conversations with hotel owners and GMs. This is not a sales call. It is a research conversation to understand what FrontDesk AI should solve first.