Live across 60+ European hotel groupsNew deployments live in 3 weeksVoice agents at chain scaleAI Lobby Talk — CIO interviews on YouTubePlatform docs & changelogLive across 60+ European hotel groupsNew deployments live in 3 weeksVoice agents at chain scaleAI Lobby Talk — CIO interviews on YouTubePlatform docs & changelog
D3x

The AI orchestration layerfor hotel operations.

Resolve guest requests, execute across your PMS and operations stack, and run on every channel — one orchestration layer trusted by 60+ European hotel groups.

D3x

Hotel operations map

Skills Engine · live routing

D3x Skills Engine

Skills mapped to every layer of hotel operations.

Front Desk

Access codePre-arrival questionsBooking interest

Concierge

Change bookingRefund policyInvoices

Back office

InvoicesRefund policyDecision logs

Housekeeping

Room statusMaintenance ticketsAmenities

Sales

Group enquiriesAvailabilityUpsell offers

Marketing

LLM readable Knowledge baseOutbound campaignsGuest sentiment

Trusted by leading hotel groups

  • Staycity Group
  • McDreams Hotels
  • The Usual Hotels
  • Dalata Hotel Group
  • Best Western
  • Amano
  • Homaris
  • Wombats
  • Clink
  • Aspasios

IN PRODUCTION

100K+

messages/month across the platform

4.58

AI CSAT vs 4.62 human, 20K guest surveys

3 weeks

typical implementation from API access

100%

logo retention since founding

Same metrics, every quarter. Not a roadmap.

THE MOMENT

The category-defining vendor will be chosen in the next 18 months.

Decision window

18

months

Buyer selection is happening now, in real procurement processes, on multi-year contracts.

01

Guests now expect WhatsApp-speed answers, on every channel, in every language. The bar has moved.

02

Generic AI cannot execute against your PMS, housekeeping, table-management, or CRM. The work is in the integrations.

03

The hotel groups deploying now are setting the operational baseline competitors will spend years catching up to.

AGENTS

Every channel. Every guest. Every action.

Three production agents — each with the same Skills Engine, Knowledge Base and integration fabric underneath. Every guest is authenticated and matched to their reservation before the agent acts. See what guests experience and what runs in the background.

WhatsApp, OTA inbox, web chat, SMS, and social DMs — one agent per property. D3x authenticates every guest and matches the conversation to the right reservation in your PMS before acting.

70–85% autonomous resolution

What the guest sees

RH

WhatsApp · Riverside Hotel

Typically replies in seconds

Hi, can I book a table in the hotel restaurant for dinner tonight? We're two people.

12:01

Yes. I can reserve Riverside Restaurant at 7:30pm for two. Shall I confirm that?

12:01

Perfect, please book it.

12:02

Done. Table for two at 7:30pm is confirmed.

12:02

Also, could we check out later tomorrow? Is that possible?

12:04

We can extend checkout to 2pm tomorrow for €35. Shall I confirm that and add the charge to your room?

12:04

Yes please, that works.

12:05

Done. Late checkout until 2pm is confirmed. €35 has been added to your room bill. Enjoy dinner!

12:05

What D3x runs

  • 12:01:01

    inbound.whatsapp.received

    Intent: restaurant reservation · tonight

  • 12:01:01

    guest.authenticate

    WhatsApp number + property → Sarah Chen verified

  • 12:01:02

    reservation.match

    Thread linked to reservation · room 412 · in-house

  • 12:01:03

    restaurant.availability.check

    Riverside Restaurant · 19:30 · 2 covers · available

  • 12:02:01

    guest.confirmation.received

    Guest approved table on WhatsApp

  • 12:02:02

    restaurant.booking.create

    Table 2 · 19:30 · confirmation sent

  • 12:04:01

    inbound.whatsapp.received

    Intent: late checkout · Upsell skill

  • 12:04:02

    skills.upsell.evaluate

    Late checkout available · €35 · policy OK

  • 12:05:01

    guest.confirmation.received

    Guest approved late checkout on WhatsApp

  • 12:05:02

    reservation.modify

    Checkout extended to 14:00 · PMS updated

  • 12:05:02

    folio.charge.add

    €35 late checkout fee · posted to room automatically

  • 12:05:03

    outbound.whatsapp.sent

    Late checkout confirmation · audit logged

Volume
100K+ msgs/mo
Guest match
Auth + reservation per thread
Human review
Per channel toggle

HOW IT WORKS

Four layers. One platform.

From guest intent to system action, the same execution layer runs across messaging, voice, email, PMS, housekeeping, CRM, and audit.

Live execution path

Guest intentSkillsRuntimeIntegrationAudit

LAYER 01

Skills Engine

01

Codified hospitality domain logic — reservation matching, VIP escalation, brand voice, and hundreds of operational edge cases.

Booking.com _1 suffix matched · housekeeping ticket created · audit logged

LAYER 02

Agent Runtime

02

The orchestration core — reasoning, routing, policy enforcement, and execution with full audit trails on every guest action.

Intent classified · rules applied · integration called · outcome logged

LAYER 03

Channel Agents

03

Messaging, voice, and email — each configured with guardrails, escalation policy, and human-in-the-loop where it matters.

WhatsApp intent parsed · PMS fetch · action executed · guest reply sent

LAYER 04

Integration Fabric

04

25+ live integrations across PMS, housekeeping, CRM, OTA, and messaging. REST and webhook-driven with per-integration observability.

reservation.find() · ticket.create() · CRM update · channel reply

WHY GENERIC AI FAILS

Hotels run on idiosyncrasies. D3x knows them.

When a Booking.com reservation enters your PMS through the channel manager, the reservation ID gets an _1 appended. A generic AI workflow fails to match the booking. D3x knows.

Skill definition

> reservation_id: BK-48291_1> pms_match: SUCCESS> action: housekeeping.ticket.create

Generic AI

Stops at the answer.

Output

Replies to guest

  • Cannot match reservation
  • Cannot create ticket
  • Cannot escalate VIP

D3x agents

Answers, then executes.

Live action

Output

Replies to guest

  1. Matches reservation
  2. Creates housekeeping ticket
  3. Escalates VIP per policy
  4. Logs to audit trail

Domain depth · 15 years · Codified · Compounds

CONTROLS

Autonomous where it should be. Human-led where it matters.

Late checkout until 2pm for €35?

ApproveEdit

Awaiting staff review

CONTROL 01

Human-in-the-loop

High-stakes channels operate as co-pilot. Staff review before send.

Riverside Hotel

FormalWarmConcise

Response warmth

CONTROL 02

Brand voice configuration

Per-property tone, vocabulary, and response style.

  • WhatsAppLive
  • VoicePhase 2
  • EmailPhase 2

CONTROL 03

Phased deployment

Channel-by-channel rollout. Property-type guardrails.

  • 12:04:01guest.authenticate
  • 12:04:02reservation.match
  • 12:05:02folio.charge.add

CONTROL 04

Audit logs

Full conversation history with decision rationale, queryable for review.

GDPR Compliant (today)·SOC 2 Type II (in progress, Q3 2026)·EU-hosted infrastructure·Data not used to train third-party models

INTEGRATIONS

Live in your stack.

25+ integrations across PMS, housekeeping, channel managers, OTA, table management, CRM, and messaging. Average integration build from API access: 3 weeks.

PMS

Mews
Opera
Cloudbeds
Apaleo

HOUSEKEEPING

Optii
Flexkeeping
Sweeply
RoomChecking
Snapfix

MESSAGING & CHANNELS

WhatsApp
Booking.com
Website Chat
SMS
Twilio
Outlook
Gmail

CRM & GUEST EXPERIENCE

Bookboost
Like Magic

HELPDESK

Freshdesk
Zendesk

OPERATIONS

Alkimii
Faundit
Portal

IN PRODUCTION

Already shipping. Already scaling.

+ 60 hospitality groups across Europe.

70%

WhatsApp autonomy

100K+

messages/month

60+

hospitality groups

Live customerAparthotel · multi-country

Staycity Group

70% WhatsApp autonomy

We were live in production faster than any platform we've evaluated.

McDreams Hotels

Mid-scale · Germany

In prod

Production deployment across German portfolio

Operational AI that connects to our existing stack.

Amano Group

Boutique · Germany

In prod

Guest messaging automation at scale

Agents that execute, not just reply.

Staycity GroupMcDreams HotelsCIC HospitalityAmano GroupHomarisWombats HostelsClink Hostels

AI LOBBY TALK

AI in European hospitality, from the leaders deploying it.

AI Lobby Talk ✨ — leadership lessons from the front lines of AI in hospitality. Recorded in person with European hotel CIOs and CTOs.

Marc Laros, CTO at The Usual

Marc Laros · CTO · The Usual

Purpose-driven hospitality and living intelligence

FAQ

Questions CIOs ask before they book.

TALK TO US

30 minutes with the founder.

Not a sales pitch. A working conversation about what AI orchestration looks like at your group's scale, what's deployable in the next quarter, and what we're not ready to claim yet.

Jason · Founder · 15 years operating and building hospitality software.