Maisontic
You never see them.Only what they leave behind.

The house which never sleeps.

Connected to your PMS. Processing every signal. Briefing you at 07:00 — before your day begins.

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Intelligence
Connects with your existing stack
Opera Cloud·
Mews·
Apaleo·
Salesforce·
Cvent·
Demand360·
Delphi·
Gmail·
Slack·
WhatsApp Business·
Microsoft Teams·
Stripe·
HubSpot·
Opera Cloud·
Mews·
Apaleo·
Salesforce·
Cvent·
Demand360·
Delphi·
Gmail·
Slack·
WhatsApp Business·
Microsoft Teams·
Stripe·
HubSpot·
you never see them.
you only see what they leave behind.
you never see them.
you only see what they leave behind.
you never see them.
you only see what they leave behind.

The hospitality industry
is leaving money on the table.

Hotels lose up to 20% of potential revenue. Restaurants waste 30–40% of inventory. 78% of MICE enquiries go unanswered. 141 pages before one booking. This is what Maisontic was built to fix.

Hotels · IDeaS · STR · 2024
20%
Average revenue left uncaptured due to suboptimal pricing and missed upsells.
The revenue was there. Nobody was watching when it left.
All Sectors · AHLA · Bureau of Labor Statistics · 2024
80%
Annual staff turnover in hospitality. 204% above the national average quit rate.
Your team is leaving faster than the industry can replace them.
79% of hotels have a staffing shortage. Every departure costs 4,000–8,000 EUR to replace.
Food & Beverage · ReFED · EHL · 2024–2025
30–40%
Of food inventory wasted in restaurants due to poor stock tracking and overproduction.
Every wasted ingredient is a margin you never recover.
MICE · MICE Insights · Grand View Research · 2025
78%
Of meeting planners unhappy with how venues respond to their event enquiries.
The brief was sent. Nobody responded fast enough.
Travel · OAG Travel 2045 · Phocuswright · 2024–2025
141
Web pages visited by the average traveller before booking a single trip in 2024.
Your next guests are planning their trip on AI right now. Not on your website.

Intelligence.

We work across every part of your operation — hotels, restaurants, events and travel.

Hold to pause
MC
Mr. Cortex · Maisontic
● online · Hotels
Message
Explore Hotel Intelligence
Maisontic

Check In ToAI.

A personalised AI playbook for hospitality professionals. Real cases, real prompts, built around your role and the situations that cost you the most time — every week.

The difference
Without the Playbook

"Thank you for your feedback. We are happy you enjoyed the food and we take your comments about service and pacing seriously. We hope to welcome you back soon."

340 people read it. Zero book because of it.
With the playbook

"The pappardelle — the best outside Tuscany. That genuinely made our morning. The pacing on your evening: you are right, and I want to be honest rather than diplomatic. If you come back, tell them Giulia sent you."

Written in 4 minutes. The next reader books a table.
Time saved — across four real cases
4 min
Write a review response that converts the next reader into a booking
20 min
Produce a complete seasonal menu transition plan with full brigade brief
25 min
Build a 60-day recovery plan for a €650K Groups & Events budget gap
8 min
Produce a legally defensible incident report from raw field observations
One complete case — read every word
Check In To AI·Sample
Hotels Edition · Section 03
Section 03
Real-World Cases
Hotels Edition
GUEST RELATIONS
014 / 015
The Review Response
The Situation
It is Thursday morning. The owner reads a Google review posted last night — four stars. The reviewer loved the food, the pappardelle specifically. But the service was cold and the pacing was too fast. His exact words: "the courses arrived before we had finished talking." 340 people will read this review before the week ends. The ones who visit after a well-written response arrive with better expectations. The ones who read a generic reply book somewhere else.
What Most Owners Write
"Thank you for your feedback. We are happy you enjoyed the food and we take your comments about service and pacing seriously. We hope to welcome you back soon."
340 people read this. Zero book because of it.
The Maisontic Prompt
You are the [ROLE] at [RESTAURANT NAME], a [TYPE] in [CITY] known for [1–2 GENUINE DIFFERENTIATORS]. A guest left this review on [PLATFORM]: [PASTE THE FULL REVIEW TEXT — every word, not a summary] Write a response that: — Opens by referencing the specific dish or moment they mentioned — Acknowledges the specific criticism honestly — not defensively — Gives one genuine explanation, or takes full responsibility if none exists — Closes with an invitation that makes the next reader more likely to book Do not use: "valued guest" / "thank you for your feedback" / "we take all feedback seriously" Maximum 120 words. Tone: the voice of a person who runs this restaurant.
The AI Response — What Comes Out
The pappardelle coming back to you as the best outside Tuscany — that genuinely made our morning. We have been making it the same way since 1962 and it is good to know it still holds. The pacing on your evening: you are right, and I want to be honest rather than diplomatic about it. Thursday was busier than we expected and the kitchen moved faster than the room did. That is our job to manage, and we did not manage it well enough. If you come back — and I hope you do — tell them at the table that Giulia sent you. We will make sure the evening moves at your pace.
How to Adapt It
Replace the restaurant name, city, and differentiators with your own. Paste the full review — every word. The key instruction is "makes the next reader more likely to book." That reframes the review response from guest relations into a marketing asset.
Time Saved
Without AI: 20–30 minutes, often deprioritised. With AI: 4 minutes. Across 8–12 reviews per week, the compounding difference is significant.
Who this applies to — Restaurant Owner · Hotel GM · Guest Relations Manager · Restaurant Manager · F&B Director
Sample Preview · Not for distributionmaisontic.ai

One case from the Hotels edition. Your playbook contains 15 to 30 cases written for your specific role and sector.

Reviewed before it reaches you. One payment. Yours permanently.
The house which never sleeps.

Live
13 Apr 2026 — Hospitality tech raises $1B across 40 startups; PMS and AI platforms lead ·Minor Hotels rebuilds global AI platform from scratch — 640 properties, 63 countries ·Mews ($300M), Canary Technologies and Duve raise combined $152.6M for AI guest experience ·Barcelona doubles tourist tax from April 2026 — up to €15/night for luxury hotels ·85% of hospitality professionals plan to put at least 5% of IT budget into AI in 2026 ·Business travel market hits $1.57T in 2025 — forecast $1.8T by end of 2026 ·54% of MICE organisers now use AI for venue sourcing — Cvent / Mordor Intelligence ·13 Apr 2026 — Hospitality tech raises $1B across 40 startups; PMS and AI platforms lead ·Minor Hotels rebuilds global AI platform from scratch — 640 properties, 63 countries ·Mews ($300M), Canary Technologies and Duve raise combined $152.6M for AI guest experience ·Barcelona doubles tourist tax from April 2026 — up to €15/night for luxury hotels ·85% of hospitality professionals plan to put at least 5% of IT budget into AI in 2026 ·Business travel market hits $1.57T in 2025 — forecast $1.8T by end of 2026 ·54% of MICE organisers now use AI for venue sourcing — Cvent / Mordor Intelligence ·
Est. 2026 · maisontic.aiVol. I · Entry 001
❧❧
The Lobby
Intelligent news for hospitality professionals — every Monday
Worldwide5 min read · Entry 001
AllHotelsF&BMICETravelMaisontic
$1B+
Raised by hospitality tech · 12 months
71%
Say AI has transformative impact
$1.8T
Business travel forecast · 2026
54%
MICE organisers using AI
Hotels
Minor Hotels rebuilds its AI platform from scratch — 640 properties, 63 countries
Rather than layering AI on top of legacy systems, Minor Hotels is rebuilding its global data and AI platform from the ground up. The lesson for smaller operators: the data layer comes first. Always.
🧠
Mr. Cortex · CEA
Maisontic · Chief Executive Agent
● HIGH
"This week's $1B investment report confirms what I track daily: capital is concentrating in platforms operators depend on every day — PMS, guest messaging, AI experience layers. Not in point tools. The operators who benefit most are those whose data is already clean enough for these platforms to work on. Those running fragmented systems will see diminishing returns on every AI dollar they spend. Infrastructure first. Intelligence second."
Signal confidence
The Lobby · maisontic.aiEnter the Lobby →
The Intelligence Gap

The gap is closing.
Not everyone will make it.

82% of hotels are expanding AI use right now. The other 18% are not falling behind slowly — they are falling behind permanently. Adapt now. Or watch from behind.

Stage
Running Blind
Manual Intelligence
AI-Assisted
Maisontic-Powered
Reality

Decisions made on instinct. No data layer. No pattern recognition. Competitors are moving — you cannot see them.

Operating Margin
Industry average
vs. industry benchmark
Operational Capacity
Fixed by headcount
without adding headcount
0%
Hotels expanding AI use in 2026
Canary Technologies, Mar 2026
0%
Say AI is transformative for hospitality
Canary Technologies, Mar 2026
0%
Of operators are "future built" with AI today
BCG, 2025
$0T
Global hospitality market in 2026
Hospitality Market Growth Report 2026
What Maisontic does

Revenue, pricing, guest intelligence, competitor monitoring — all unified.

Intelligence signals
RevPAR optimised in real time
Competitor rate changes detected within minutes
The outcome

You read the market before your competitors do.

The Organism

Everything you need to know about Maisontic.

Who we are
🏛️
About Maisontic

Not a software company. Not a consulting firm. An organism built for hospitality — running silently, delivering results.

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Chief Executive Agent
🧠
Meet Mr. Cortex

The intelligence that runs before you wake. He never sleeps. He never misses. By 07:00 — not reports. Results.

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Our commitment
⚡
Our Promise

We do not make any promises lightly. Not values on a wall. Real obligations — hold us to every one.

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hello@maisontic.ai
✉️
Contact

Tell us what you need. We will tell you honestly whether we can help — and exactly how.

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