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Your Front Desk Staff Are Burning Out Answering The Same Questions

If you're a hotel GM watching your team repeat checkout times and Wi-Fi passwords 200 times daily, you've reached the automation moment.

Your front desk staff answers the same 20 questions 200 times a day. Your TripAdvisor reviews sit unanswered for weeks. Your revenue management is a spreadsheet updated when someone remembers. We connect AI to your PMS, booking engine, and review platforms so guests get instant concierge service via WhatsApp, every review gets a personalized response within hours, and your pricing adjusts dynamically based on demand.

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Hospitality AI Integration

Hospitality AI integration connects large language models and automation pipelines directly to your property management system, booking engine, and review platforms. The result is a live data layer that powers guest-facing chat, automated review responses, and dynamic pricing triggers without requiring staff intervention. This is purpose-built middleware work, not a generic chatbot dropped onto your website.

What is holding your current website back?

Common gaps we find in nearly every audit.

Front desk staff spend the majority of each shift answering repetitive questions about check-in times, parking, Wi-Fi, and local restaurants — work that pulls them away from guests who actually need human attention.
Risk: Staff burnout increases turnover, and guests who cannot get fast answers book elsewhere or leave lower scores on OTA platforms, directly affecting your ranking and future bookings.
Guest reviews on TripAdvisor, Google, and Booking.com accumulate without responses because no one on the team has a dedicated block of time to write specific, on-brand replies at scale.
Risk: Unanswered reviews signal to prospective guests that management is disengaged, and OTA algorithms factor response rate into search placement, reducing your property's visibility over time.
Revenue management decisions are made on stale data because rate updates depend on a team member remembering to pull the occupancy report and adjust the spreadsheet manually.
Risk: Delayed rate adjustments mean you fill rooms at yesterday's price during demand spikes or hold rates too high when demand softens, leaving occupancy and revenue on the table simultaneously.

How We Build This Right

Every safeguard, built in from Day 1.

PMS Data Handled Under Access Controls

All connections to your property management system are established through read-limited API credentials scoped to only the data fields the AI pipeline requires. Guest PII is never stored in the AI layer or passed to third-party model providers in identifiable form.

Review Response Approval Workflows

Automated review responses are routed through a human approval queue before publishing, ensuring brand voice, factual accuracy, and compliance with OTA platform terms of service. You retain final sign-off on every response.

Audit Logs for Every Automated Action

Pricing rule triggers, guest message threads, and review response drafts are logged with timestamps and the data inputs that produced each output. This gives your team a clear record to review, audit, or roll back any automated decision.

What We Build

Purpose-built features for your industry.

Live PMS-Connected Guest Concierge

The AI pulls real-time data from your PMS to answer questions about reservation details, room type amenities, check-in and check-out times, and on-property services. Guests get accurate answers instantly via web chat or messaging platform without a staff member involved.

Automated Review Response Generation

We build a pipeline that monitors your TripAdvisor, Google, and Booking.com profiles for new reviews, drafts specific responses referencing the guest's actual comments, and queues them for manager approval and one-click publishing. Generic copy-paste replies are not produced.

Occupancy-Triggered Pricing Rules

Pricing adjustment logic is configured against your live occupancy thresholds. When occupancy crosses defined points, rate change recommendations are pushed to your channel manager automatically or surfaced to your revenue manager as actionable alerts, depending on how much automation your team wants.

Staff Escalation Routing

Guest conversations that involve complaints, special requests, or questions outside the AI's defined scope are flagged and routed to the right staff member with full conversation context attached. The AI handles volume; your team handles relationships.

Built on a Modern, Secure Stack

Claude APIOpera PMSWhatsApp APISupabaseVercelTwilioGoogle Places API

Our Development Process

From discovery to launch. Quality at every step.

01

Systems Audit and Integration Mapping

1 week

We document your PMS, booking engine, channel manager, and review platform accounts to map available API endpoints, data fields, and authentication methods. This audit determines exactly what the AI can access and where manual workarounds are needed before we write a line of code.

02

AI Pipeline Build and PMS Connection

2 weeks

We build the data connectors, prompt architecture, and routing logic for your guest concierge and review response workflows. Every prompt is tested against real data from your property to confirm accuracy before anything touches a guest or a public review platform.

03

Pricing Rules Configuration and Testing

1 week

Your revenue management logic is translated into occupancy-based trigger rules and tested against historical occupancy patterns from your PMS. We confirm that rate recommendations or automatic adjustments behave correctly across your room categories and booking windows.

04

Staff Handover and Live Monitoring

2 weeks

We walk your front desk and management team through the approval queues, escalation workflows, and override controls. The system runs in a monitored live period where we track response accuracy, escalation rates, and any edge cases that require prompt or rule adjustments before full handover.

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Frequently Asked Questions

We integrate with Opera, Cloudbeds, Mews, Guesty, and custom PMS platforms. Plus booking engines, channel managers, and review platforms including TripAdvisor and Google Business. If you've got something unusual or custom-built, we've probably dealt with it before -- ask us.
Guests reach out through WhatsApp, your website chat, or SMS -- wherever they're most comfortable. The AI handles amenity questions, gives local restaurant recommendations, modifies bookings, and processes requests, all while pulling live availability and guest history from your PMS. So the answers are actually accurate, not just plausible-sounding.
Within hours of a Google or TripAdvisor review going live, the AI drafts a personalized response that references specifics from what the guest actually wrote. A staff member reviews it and hits approve. That's it. In practice, most properties save 5--10 hours a week on review management alone -- and response rates go from "occasionally" to "every single review."
The AI concierge chatbot starts at $3,000. The full suite -- review management, revenue optimization, staff scheduling, the whole thing -- runs $8,000 to $15,000 depending on property size and integration complexity. And honestly, most hotels hit ROI within 90 days just from reduced front desk call volume, before you even factor in the revenue management upside.
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