/ Managed Hospitality AI /
Your AI Guest Team, Working 24/7.
Respond faster, handle repetitive guest conversations, create structured upsell opportunities and identify service issues earlier, while keeping human escalation where judgement and personal attention matter.
WaveBNB designs, integrates, manages and optimises the AI guest journey around your property, systems, brand voice and team.
Managed AI for hospitality · Property-specific knowledge · Human escalation built in
/ Built for hospitality operations /
Property-Specific
Built around your approved property information, policies, services and guest journey.
Human Escalation
Defined rules determine when a conversation should move from AI to your team.
Controlled AI
Knowledge boundaries, permissions and guardrails are built around the agreed use case.
Measured
Success is tied to operational and commercial KPIs, not the novelty of using AI.
/ Quick answer /
What Is an AI Guest Journey?
An AI Guest Journey uses managed artificial intelligence to support hotel guests across the moments where fast, accurate communication matters most, from the first enquiry through the stay and into service recovery.
WaveBNB connects the AI to approved property knowledge, guest-service rules, booking processes and escalation pathways so routine conversations can be handled efficiently while important situations still reach the right person.
Before Booking
Answer enquiries, explain approved options and guide travellers towards the appropriate booking path.
During the Stay
Handle everyday questions, support requests and surface relevant upgrades or extras.
When Attention Matters
Recognise defined service issues and move sensitive conversations to a member of your team.
/ The operational problem /
Guests Do Not Wait for Office Hours.
A prospective guest can enquire at midnight. An in-house guest can need an answer while reception is busy. A service issue can develop before someone has time to review the conversation.
The goal is not to remove people from hospitality. It is to remove unnecessary repetitive work so your people can focus where judgement, service and human attention create more value.
Missed Enquiries
Slow responses create friction when travellers are actively comparing properties.
Repetitive Work
Teams repeatedly answer the same questions about check-in, facilities, policies and local information.
Lost Upsell Opportunities
Relevant upgrades and extras are easily missed when teams are focused on operational conversations.
Late Service Recovery
A dissatisfied guest may reveal a problem in conversation before it appears in a complaint or review.
/ Three managed AI capabilities /
One AI Guest Journey. Three Revenue and Service Functions.
The system focuses on conversations that influence booking, guest experience, operational efficiency and service recovery.
01 · BEFORE BOOKING
AI Reservations & Sales
Support enquiries even when your reservations team is unavailable.
- Answer common pre-booking questions
- Explain approved room and property information
- Support room or package selection
- Guide travellers towards the booking journey
- Escalate complex enquiries where required
02 · GUEST SUPPORT
AI Concierge & Upsell
Handle everyday requests while creating structured opportunities for ancillary revenue.
- Answer routine guest questions
- Provide approved property information
- Support pre-arrival and in-stay requests
- Surface relevant upgrades and extras
- Escalate exceptions to the right team
03 · WHEN ATTENTION MATTERS
AI Reputation & Recovery
Identify signs of dissatisfaction earlier and help the right people intervene sooner.
- Recognise negative sentiment signals
- Identify defined recovery triggers
- Escalate sensitive situations
- Support approved recovery workflows
- Capture structured feedback signals
/ AI where it helps. Humans where they matter. /
Automation Should Not Mean Losing the Human Touch.
WaveBNB defines when the AI should answer, when it should stay within its boundaries and when the conversation should move to a person.
01
Routine
The AI handles approved, repeatable questions.
02
Uncertain
The AI stays within defined knowledge boundaries.
03
Sensitive
Defined complaints or exceptions trigger escalation.
04
Human
Your team takes over with the relevant conversation context.
/ More than a chatbot /
The AI Is Only as Good as the System Around It.
WaveBNB manages the operational layer required to turn AI from another piece of software into a controlled hospitality system.
Knowledge
- Property information
- Policies and FAQs
- Room and service information
- Approved recommendations
Experience
- Brand voice
- Conversation structure
- Guest journey logic
- Relevant upsell pathways
Control
- Permissions
- Guardrails
- Escalation rules
- Human handover logic
Optimisation
- Conversation QA
- Performance review
- Knowledge updates
- Workflow improvement
/ Across the guest journey /
One System. Six Guest Moments.
AI can support different parts of the journey without treating every conversation the same.
01
Research & Enquiry
Answer questions and support consideration while interest is high.
02
Booking
Guide travellers towards the appropriate direct-booking journey.
03
Pre-Arrival
Resolve routine questions before they become front-desk workload.
04
In-Stay
Support guests and surface relevant ancillary opportunities.
05
Service Recovery
Identify defined dissatisfaction signals and escalate sooner.
06
Post-Stay
Support approved feedback and reputation workflows.
/ Measured around outcomes /
AI Should Improve the Operation, Not Just Add Another Tool.
Before implementation begins, we agree the baseline and the operational or commercial measures that matter most.
First-Response Time
How quickly relevant conversations receive an initial response.
Automation Rate
How much appropriate routine conversation is resolved without unnecessary human intervention.
Upsell Revenue
Revenue generated through relevant AI-supported ancillary offers where applicable.
Hours Saved
Operational time redirected from repetitive conversations towards higher-value work.
Escalation Quality
Whether conversations requiring judgement are identified and routed appropriately.
Booking Support
How effectively pre-booking conversations support the wider direct-booking journey.
/ Commercial accountability /
Measure the AI Against What It Was Built to Improve.
Baseline First
Know the operational starting point before implementation.
One Primary KPI
Define the main outcome the AI engagement should own.
Clear Ownership
Know what WaveBNB manages and where your team remains responsible.
/ Connected to your operation /
Designed to Work With the Systems Guests Already Use.
The exact integration architecture depends on your existing hospitality technology and the selected AI use case.
PMS
Where supported and appropriate to the use case.
Booking Engine
To support relevant direct-booking journeys and approved booking information.
Messaging
Website chat and approved guest communication channels depending on setup.
CRM & Data
Where guest-data flows and permissions support the required workflow.
Integration availability depends on the systems used by your property, API access, permissions and the agreed implementation scope.
/ Governance built into the journey /
Hospitality AI Needs Boundaries, Ownership and Human Oversight.
The system should know what it is allowed to answer, which information it can use and when the situation requires a person.
Knowledge Boundaries
Responses are designed around approved property information rather than unrestricted improvisation.
Permissions
Access and actions should be limited to what is required for the agreed use case.
Human Escalation
Defined triggers determine which conversations should move to a member of your team.
Ongoing QA
Performance is reviewed so knowledge, workflows and escalation logic can improve over time.
Specific privacy, data-processing and security requirements are reviewed against the systems, vendors and data flows involved in the agreed implementation.
/ Implementation /
From Property Knowledge to a Managed AI Guest Team.
01
Discover & Design
Identify the conversations worth automating, the systems involved and the situations that should remain human-led.
02
Configure & Integrate
Build the knowledge, conversation logic, integrations, escalation rules, guardrails and relevant upsell journeys.
03
Launch & Optimise
Review conversation performance, operational outcomes and guest behaviour to improve the system over time.
/ Is this the right fit? /
Best Suited to Hotels Where Guest Communication Is Becoming a Growth Constraint.
Strong Fit
- You receive meaningful enquiry or guest-message volume
- Response speed varies outside staffed hours
- Staff spend significant time on repetitive questions
- You have relevant upgrades or ancillary offers
- You want AI with governance and human escalation
- You want ongoing optimisation, not software access alone
May Not Be the First Priority
- Your property receives very little guest-message volume
- Your main constraint is being discovered online
- Your booking journey is currently preventing demand from converting
- Your team is not ready to define knowledge, ownership or escalation processes
If AI is not the highest-priority opportunity, the Growth Audit can identify whether Direct Booking Growth, Hospitality Visibility or Direct Booking Experience deserves attention first.
/ AI Guest Journey FAQs /
Questions Before Bringing AI Into the Guest Journey?
Is this just a hotel chatbot?
No. A chatbot may be one interface within the solution, but WaveBNB’s AI Guest Journey is a managed system built around property knowledge, integrations, conversation logic, escalation, governance and ongoing optimisation.
Can the AI handle hotel reservations?
The AI can support reservation enquiries, answer approved questions, help travellers understand relevant options and guide them towards the appropriate booking journey. Exact capabilities depend on your booking technology, integrations and agreed scope.
What happens when the AI does not know the answer?
The system should stay within defined boundaries rather than invent information. Depending on the situation, it can ask for clarification, explain that it cannot confirm something or escalate the conversation.
Can the AI hand conversations to our team?
Yes, where the selected channel and integration support the required workflow. WaveBNB defines human-escalation rules around agreed triggers such as sensitive complaints, exceptions or situations requiring judgement.
Can the AI recommend upgrades and extras?
Yes, where appropriate. Relevant offers can be incorporated into approved guest journeys so the AI surfaces upgrades or ancillary services at suitable moments rather than pushing generic offers into every conversation.
Will the AI sound like our hotel?
WaveBNB configures the system around your approved brand voice, terminology, property information and communication guidelines rather than using a generic chatbot personality.
How is guest data handled?
This depends on the technology, integrations and data flows used. WaveBNB reviews the required information, permissions, vendors and processing requirements during scoping so unnecessary data collection can be avoided and responsibilities are clearly understood.
How do we know whether AI is improving performance?
We establish the relevant baseline and primary KPI before implementation. Depending on the use case, measurement may include response time, automation rate, hours saved, upsell revenue, escalation quality or booking-support performance.
Want to See How It Could Work for Your Property?
Explore the live hotel AI experience or let us identify where AI could create the most commercial or operational value in your guest journey.
/ Your AI guest journey starts here /
Give Your Team Back Time Without Giving Up the Guest Experience.
We’ll identify which conversations should be automated, where human escalation should remain and what measurable outcome the AI guest journey should own.
Clear use case · Defined human escalation · Measurable operational outcome