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AI Operations

An AI layer that runs the operation, not a chatbot bolted onto a calendar.

Propertory reads the live state of your portfolio, surfaces what is going wrong before a guest tells you, ranks it by consequence, and executes the routines your team has approved.

  • Risk detection
  • Daily prioritisation
  • Governed Autopilot
  • Full audit trail

No credit card required

Inside the product

Autonomy you switch on deliberately, one routine at a time.

The most useful property of an AI operations layer is not speed. It is that a manager can always reconstruct what happened and why.

  • 1Approval gatesEvery capability starts in propose-only mode. Execution is enabled per routine, per scope, by an administrator.
  • 2Explainable decisionsEach proposal shows the signals used, the guard applied, the recommended action and the expected outcome.
  • 3ReversibilityActions are recorded against the underlying records, so an incorrect step can be identified and corrected rather than silently absorbed.
  • 4Health-aware holdsIf an operational data source degrades, dependent routines pause instead of acting on an outdated view of the portfolio.
Reviews & insights
Propertory reviews workspace aggregating guest ratings from multiple booking platforms with pending replies, negative-review alerts and recurring theme analysis
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How it works

One accountable trail, end to end

  1. 01 · Signals

    Read the operational state

    Reservations, verification status, payments, tax obligations, cleaning assignments, conversations and system health are all evaluated continuously.

  2. 02 · Detection

    Identify what is drifting

    Unassigned turnovers, arrivals without verification, unpaid balances, unanswered guests, blocked access reveals and data that has stopped updating.

  3. 03 · Prioritisation

    Rank by consequence

    Findings are ordered by how much damage they cause and how soon, producing a briefing your team can work top-down instead of triaging inboxes.

  4. 04 · Action

    Execute or propose

    Approved routines run inside their guards. Everything else becomes a proposal with a recommended action, ready for one-click approval.

Capabilities

What you get

Portfolio risk detection

Continuously flags reservations, turnovers, payments and guest threads that are heading towards failure.

Daily operations briefing

A ranked start-of-day view per role: what must be handled now, what can wait, and what has already been resolved automatically.

Context assembly

Pulls reservation, guest, property, payment and task history into one place so a decision does not require five lookups.

Message drafting and translation

Drafts replies grounded in the reservation record and the property's own information, in the guest's language.

Autopilot routines

Recurring operational sequences — reminders, verification chasing, task creation, status updates — executed within configured boundaries.

Safety guards

Limits on what may be sent, charged, changed or released, plus holds when underlying data is stale or incomplete.

Before and after

Disconnected tools versus one platform

Today, without Propertory

  • Problems are discovered when a guest complains about them.
  • Every morning starts by triaging inboxes to work out what matters.
  • Automation is all-or-nothing, so nobody trusts it enough to switch it on.

With Propertory

  • Drifting reservations, turnovers and payments are flagged before the guest notices.
  • A ranked briefing per role: what must be handled now, and what can wait.
  • Routines run inside approved guards, and everything else waits for a human decision.

Who it is for

What each team gets

Operations lead

One prioritised view of portfolio risk instead of five dashboards and a gut feeling.

Property manager

Proposals with the recommended action attached, ready to approve or reject.

Owner or director

An audit trail showing what was decided, by whom or by what, and when.

Questions

Frequently asked questions

Can the AI act without a human?

Only inside routines your team has explicitly enabled, within the safety guards you configure. Everything else stops at an approval gate and waits for a decision.

How do we know why the AI proposed something?

Every decision records the signals it used, the recommended action, the rule or guard that applied, who approved it and what the result was.

What happens if a data source is unhealthy?

System health monitoring surfaces stale or failing operational data, and affected routines can be held rather than acting on incomplete information.

Transparent pricing

€15 per property per month. Start with a 14-day trial.

AI is included under fair use. No credit card, no setup fee and no per-module upsell.