New episode: The Return of the Great Hotelier — with L+R HotelsLive across 60+ European hotel groupsNew deployments live in 3 weeksVoice agents at chain scaleAI Lobby Talk — CIO interviews on YouTubePlatform docs & changelogNew episode: The Return of the Great Hotelier — with L+R HotelsLive across 60+ European hotel groupsNew deployments live in 3 weeksVoice agents at chain scaleAI Lobby Talk — CIO interviews on YouTubePlatform docs & changelog
D3x

HOTEL GROUPS

One AI layer for the portfolio. Local rules for every property.

Groups like Staycity, Best Western, and Amano run D3x across their portfolios: policies configured per property, governance and reporting held centrally, and rollouts that don't restart from zero at every site.

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Multi-property AI fails in two predictable ways: a rigid central setup that ignores how each property actually operates, or a per-property free-for-all that nobody can govern. Hotel groups need both — local policy fidelity and central control.

D3x is built for that split. Each property gets its own policies, brand voice, integrations, and escalation rules in the Skills Engine; the group gets central governance, portfolio-wide reporting, and full audit logs across every conversation. Staycity Group runs it at scale, with AI handling 75% of web chat and WhatsApp across the estate.

100%

logo retention

75%

of Staycity's web chat & WhatsApp handled by AI

25+

live integrations

3 weeks

typical new integration build

01

Rollouts that compound, not repeat

The first property is the hard one; after that, the group inherits the work. Shared skills, templates, and integration patterns carry across sites, so property two launches in a fraction of the time of property one — from 10-room independents to 1,000+ room portfolios.

  • Per-property configuration on a shared platform — no forked setups
  • New integrations built in roughly 3 weeks, then reused portfolio-wide
  • Phased rollouts: pilot property first, then templated expansion

02

Central governance, local behavior

Group teams set the guardrails — data policies, escalation standards, approved skills — while each property tunes what's local: check-in times, pet rules, parking, VIP handling. Every agent decision across the portfolio is logged with its rationale.

  • Per-property policies and brand voice under group-level governance
  • Portfolio reporting: volumes, resolution rates, CSAT by property
  • EU-hosted, GDPR-compliant; SOC 2 Type II in progress; no third-party model training on your data

03

Built for CIO teams, not just operators

Every D3x customer gets an MCP server, so group technology teams can query conversations, decisions, and operational data programmatically and plug D3x into their own tooling. Continuous LLM upgrades and the learning loop are included — no re-platforming when models improve.

FAQ

Common questions.

Multi-property AI is a single AI platform that runs guest operations across a hotel group's portfolio, with per-property policies and central governance. D3x gives each property its own rules, voice, and integrations in the Skills Engine, while the group controls guardrails, reporting, and audit across every site.

MORE SOLUTIONS

Explore what else D3x runs.

AI Concierge for HotelsAI Hotel ReceptionistWhatsApp AI for HotelsHotel Voice AIAI Email Management for HotelsHotel Guest Messaging AutomationAll solutions →

TALK TO US

See it running on your stack.

30 minutes with the founder — your properties, your channels, and what phase-1 looks like.

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