Your Guests Are Getting Wrong Answers About Booking Policies, Amenities, and Check-In Procedures
Rovixal grounds every response in your actual property documents — booking policies, amenity guides, dining menus, and facility information — with source citations your staff can verify. The AI is instructed to refuse medical, legal, and financial advice.
No credit card required. Connect your property docs and go live in under 10 minutes.
For standard room bookings, cancellations made 48 hours or more before the scheduled check-in date receive a full refund. Cancellations within 48 hours of check-in are charged one night's room rate. No-shows are charged the full reservation amount. Group bookings of 5 or more rooms have a separate cancellation policy — see the Group Booking Terms for details.
Example conversation — policies shown are from the property's indexed booking documents
The Five Guest Support Problems Costing Your Property
Booking & Cancellation Policy Confusion
“Can I cancel my reservation without a penalty?” Your front desk gets this hundreds of times a month. Cancellation policies vary by room type, booking channel, season, and package — standard rooms may allow 48-hour cancellation while promotional rates are non-refundable. When the AI serves the wrong cancellation window — or confuses the direct booking policy with the third-party OTA policy — a guest cancels expecting a full refund and disputes the charge when they see a penalty.
How Rovixal helps:
Every response is grounded in your indexed booking policies and reservation terms, with citations your staff can verify. Source authority re-ranking ensures current reservation policies are prioritized over archived promotional materials. When confidence is low, the AI escalates to staff instead of guessing.
Check-In & Check-Out Process Issues
“What time is check-in and do I need a credit card on file?” Guests need to know check-in/check-out times, ID requirements, deposit policies, early check-in availability, and late check-out fees. When the AI states the wrong check-in time — or omits the credit card hold requirement — guests arrive unprepared, creating bottlenecks at the front desk and frustration during their first interaction with your property.
How Rovixal helps:
The AI searches across your front desk procedures, check-in requirements, and deposit policies in a single query. Citation shows exactly which procedure document the answer came from. Organize documents by room type or guest category to prevent cross-policy confusion.
Amenity & Facility Misinformation
“What time does the pool close?” Guests ask about pool hours, gym access, spa services, business center availability, parking options, and WiFi credentials. When the AI serves last season’s pool hours or the wrong parking rate, guests show up to locked facilities or are surprised by charges. Amenity questions peak during high-occupancy periods — exactly when your staff is least available to correct AI mistakes.
How Rovixal helps:
The AI searches across amenity guides, facility schedules, and property information in a single query. Freshness scoring ensures current seasonal schedules are prioritized over outdated versions. Citation shows the exact guide section for every answer.
Dining & Menu Information Gaps
“What are your restaurant hours and do you have gluten-free options?” Guests need to know restaurant hours, menu offerings, room service availability, dietary accommodation notes, and reservation requirements. When the AI serves the old menu or states the wrong restaurant hours, guests arrive to a closed restaurant or order expecting options that are no longer available. During peak seasons, dining questions can account for a significant share of front desk inquiries.
How Rovixal helps:
Restaurant menus, dining guides, and dietary information documents are prioritized during retrieval. Citation verification traces every menu item, hour, and dietary note to the specific document section. For allergen questions, the AI cites what the menu documents state and recommends confirming with restaurant staff, as kitchen practices may vary. When the AI is uncertain, it escalates to staff instead of guessing.
Billing & Incidental Charge Disputes
“Why was I charged for parking when the listing said free parking?” Guests need to understand resort fees, parking charges, minibar policies, late check-out fees, and room service surcharges. When the AI states the wrong parking rate or omits the resort fee, guests dispute charges at checkout — creating delays, negative reviews, and chargeback risk. Billing disputes are among the highest-friction guest interactions.
How Rovixal helps:
Rate cards, fee schedules, and billing policies are prioritized during retrieval. Citation verification traces every dollar amount and policy term to the specific fee document. Newer rate cards are weighted higher during retrieval to prevent outdated pricing from surfacing.
Built for Hospitality Accuracy. Not Generic AI Chat.
System-Level Guardrails for Guest Safety Boundaries
Every Rovixal bot’s system prompt includes an instruction to refuse medical, legal, and financial advice. For hospitality, this means the AI is instructed to decline personal dietary safety assessments (“Is this safe for my allergy?”), health suitability of facilities (“Can I use the pool with my condition?”), liability for guest injuries, and legal disputes over charges — while still answering factual questions about published menu allergen notes, ingredient lists, amenity hours, cancellation policies, and fee schedules. The AI cites what the document states and always recommends confirming with staff for allergen concerns. Administrators can further configure:
- Required disclaimers appended to every response (e.g., “I am an AI assistant. For allergy concerns, please speak directly with our restaurant staff. For other requests, contact the front desk.”)
- Topics to restrict — admins can list topics the AI is instructed to refuse (e.g., allergen safety advice, medical suitability of facilities, legal liability for incidents, personal health recommendations, food safety guarantees, neighborhood safety characterizations)
- Expertise areas limiting the AI’s scope to operational domains (reservation policies, check-in procedures, amenity hours, dining information, billing policies, facility details, local transportation)
Citation Verification for Rate & Policy Accuracy
Room rates, resort fees, cancellation penalties, and facility hours are checked against your indexed documents using exact and fuzzy text matching. If a claim cannot be verified against your indexed documents, it is flagged.
- Exact and n-gram fuzzy matching against retrieved documents
- Unverifiable claims flagged before delivery
- Guests see source references for every answer
Source Authority and Freshness in Retrieval
During retrieval, documents are re-ranked by authority level and recency. Reservation policies and rate cards (higher authority) outrank marketing brochures and archived seasonal guides (lower authority). Documents are scored by age: current content gets full weight, older content is deprioritized, expired content is excluded entirely.
- PRIMARY (1.3x): Reservation policies, rate cards, front desk procedures, check-in requirements
- SECONDARY (1.0x): Amenity guides, restaurant menus, guest FAQs, local area information
- REFERENCE (0.7x): Marketing brochures, archived seasonal guides, promotional materials
Confidence-Based Escalation to Front Desk Staff
When the AI is not confident about a rate, policy, or availability answer, it connects the guest to a staff member instead of guessing. Critical for hospitality where a wrong answer about a cancellation penalty or resort fee has real financial consequences and directly impacts guest satisfaction.
- Low confidence (below configurable threshold, default 0.5) triggers escalation
- Explicit request keywords (“front desk,” “speak to someone,” “manager,” “concierge”) trigger immediate handoff
- Consecutive low-confidence responses trigger automatic escalation
- Staff receives full conversation context and cited sources via live chat
Knowledge Gap Detection for Your Operations Team
Rovixal surfaces questions guests ask that the AI cannot answer — giving your operations team a prioritized backlog of information gaps to fill. Discover what your guests need that is not in your knowledge base before it becomes a negative review or a front desk bottleneck.
- Top questions by frequency — see what guests ask most
- 30-day rolling window for knowledge gap detection
- Prioritized backlog for content updates before peak season or rate changes
Accuracy You Can Audit. Not Accuracy You Have to Hope For.
Trust Score: 6-Component Composite Metric
Passing threshold: 85%. Computed on every deployment.
ROI Estimate for Hospitality Teams
Conservative, base, and aggressive scenarios. All figures are assumptions — actual results depend on knowledge base quality, inquiry complexity, and measurement methodology.
All input figures (inquiry volume, cost per inquiry, deflection rate) are assumptions. Inquiry cost and volume vary significantly by property size, guest volume, and staffing model.
Monthly Savings = Guest Inquiries/Month x Deflection Rate x Avg Cost Per InquiryLive on Your Property Website in 3 Weeks
Index Property Documentation
- Connect reservation policies, rate cards, and front desk procedures via Notion, Google Docs, or file upload
- Upload amenity guides, restaurant menus, guest FAQs, and facility schedules as PDFs or Markdown
- Crawl public-facing property website for room descriptions, location info, and contact details
- Configure source authority levels: reservation policies and rate cards = PRIMARY; amenity guides and menus = SECONDARY; marketing brochures = REFERENCE
Configure Guardrails & Test
- Set required disclaimer: “I am an AI assistant. For allergy concerns, please speak directly with our restaurant staff. For other requests, contact the front desk.”
- Configure topics to restrict: medical advice, allergen safety assessments, personal health recommendations, legal liability, food safety guarantees, neighborhood safety characterizations
- Set expertise areas: reservation policies, check-in procedures, amenity hours, dining information, billing policies, facility details, local transportation
- Configure escalation: confidence threshold, handoff keywords, business hours. QA test with front desk and guest services teams
Deploy & Monitor
- Embed widget on your property website or guest help center (two lines of code)
- Configure domain whitelisting for approved property domains
- Monitor analytics: knowledge gaps, top questions, satisfaction rate, and Trust Score
- Route escalations to front desk or guest services staff via live chat or webhooks (Pro+)
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