Channels and PMS
Messages, availability, rates and stay records
Independent small and midsize hospitality groups
Guest service depends on back office coordination
Staff rebuild context across the inbox, reservation system, task tools and finance. Work can stall at each handover.
Proposed product
36 proposed workflows connect guest service with hotel operations.
Anonymous operating case informs the design. Wider demand needs validation. Major global brand portfolios excluded.
What we would build and connect
Connect hotel systems through shared services
POS and finance
Sales, purchase orders, receipts and ledger
CRM, HR and tasks
Consent, people, work and building data
Shared services
Property knowledge; context and owners; approvals and readback; audit and measures
One work surface
Inbox, mobile tasks, department approvals and leadership views
Existing systems retain records and action rights. People own service and approvals. Adapters are proposed integrations.
Guest facing inventory
Guest conversations
Property questions and conversations
- Who uses it
- Reservations agent
- AI work
- Summarizes linked requests; drafts a reply for staff review
- Intended benefit
- Fewer unanswered parts of a guest request
- Simple example
- An email follows a guest’s earlier chat
Multilingual voice notes
- Who uses it
- Guest services agent
- AI work
- Transcribes and translates voice notes for staff review
- Intended benefit
- Guest intent survives language differences
- Simple example
- A voice note asks about late arrival
Call handling and handover
- Who uses it
- Caller and front office
- AI work
- Answers approved public FAQs and summarizes a staff handover
- Intended benefit
- An owned transfer or callback
- Simple example
- An evening caller asks for a person
Reservation and availability enquiries
- Who uses it
- Reservations agent
- AI work
- Uses permitted current facts to draft a reviewed reply
- Intended benefit
- A complete sourced answer
- Simple example
- Ask whether a room is available tomorrow
Benefits are intended. Examples are illustrative. Staff decisions and action gates remain.
Reviewed text enquiries start first. Live voice needs its own release gate. No enquiry permits booking, change or payment writes.
Guest facing inventory
Guest service and experiences
Service requests and updates
- Who uses it
- Guest services dispatcher
- AI work
- Extracts details and proposes a staff owned service task
- Intended benefit
- Owned service with visible progress
- Simple example
- Towels are requested in an occupied room
Lost item returns
- Who uses it
- Property custodian
- AI work
- Suggests item matches for staff ownership verification
- Intended benefit
- A traceable return with clear custody
- Simple example
- A guest reports a missing charger
Local itineraries
- Who uses it
- Guest and concierge
- AI work
- Proposes itineraries from checked local sources
- Intended benefit
- Useful options with practical constraints
- Simple example
- An itinerary must finish before dinner
Personalized stay preparation
- Who uses it
- Guest services manager
- AI work
- Proposes preference based offers and preparation
- Intended benefit
- Feasible experiences with a fulfilment owner
- Simple example
- A guest opts into a preferred room setup
Benefits are intended. Examples are illustrative. Staff decisions and action gates remain.
Staff accept service ownership, verify item custody and approve offers. People perform physical work; proposed plans are not bookings.
Guest facing inventory
Guest bookings and payment requests
Dining and activity bookings
- Who uses it
- Concierge and service team
- AI work
- Gathers requirements and drafts current service options
- Intended benefit
- Confirmed references rather than vague promises
- Simple example
- A guest requests a table for dinner
Eligible changes and cancellations
- Who uses it
- Reservation approver
- AI work
- Drafts eligible zero financial impact changes for approval
- Intended benefit
- An exact reviewed change and source confirmation
- Simple example
- An allowed change keeps price and fees unchanged
Approved room bookings
- Who uses it
- Reservation approver
- AI work
- Gathers details and prepares a booking proposal
- Intended benefit
- Confirmed source status and clear terms
- Simple example
- A guest chooses an offer and asks to book
Hosted payment requests
- Who uses it
- Finance or reservation approver
- AI work
- Drafts a hosted payment request explanation
- Intended benefit
- A tracked provider payment handoff
- Simple example
- An approved charge needs a time limited link
Benefits are intended. Examples are illustrative. Staff decisions and action gates remain.
Later gates: exact staff approval, source readback and separate action permissions. No card details through AI; no general payment authority.
Back office inventory
Rooms, food and service quality
Housekeeping and maintenance plans
- Who uses it
- Housekeeping and engineering supervisors
- AI work
- Forecasts cleaning work and proposes maintenance plans
- Intended benefit
- Room readiness and maintenance ownership
- Simple example
- A late checkout changes the cleaning plan
Room cleaning quality checks
- Who uses it
- Attendant and housekeeping supervisor
- AI work
- Flags visible omissions for human inspection
- Intended benefit
- Clearer defects before supervisor release
- Simple example
- A room photo appears to lack towels
Food demand and stock
- Who uses it
- Food and beverage manager
- AI work
- Forecasts covers and suggests replenishment
- Intended benefit
- Clearer stock and staffing choices
- Simple example
- High occupancy changes breakfast demand
Guest feedback and recurring issues
- Who uses it
- Quality manager
- AI work
- Classifies guest themes and sentiment with uncertainty
- Intended benefit
- Recurring service issues reach human owners
- Simple example
- Several reviews mention slow maintenance
Benefits are intended. Examples are illustrative. Staff decisions and action gates remain.
Supervisors release rooms and verify work. Vision is advisory; forecasts need baselines. Complaints stay with people without an automatic reply.
Back office inventory
Commercial and event operations
Campaign preparation
- Who uses it
- Marketing manager
- AI work
- Drafts consent filtered segments and campaign copy
- Intended benefit
- Reviewable offers for permitted audiences
- Simple example
- Invite opted in past guests to an offer
Market demand insights
- Who uses it
- Revenue manager
- AI work
- Explains licensed demand signals and proposes scenarios
- Intended benefit
- Evidence beside pricing options
- Simple example
- A local event changes the demand outlook
Rate and parity checks
- Who uses it
- Revenue analyst
- AI work
- Explains like for like rate discrepancies
- Intended benefit
- Actionable parity exceptions
- Simple example
- Breakfast terms differ between channels
Event layouts and setup
- Who uses it
- Event sales and banqueting
- AI work
- Proposes venue layouts and summarizes revisions
- Intended benefit
- An agreed setup for operational review
- Simple example
- A meeting changes from theatre to tables
Benefits are intended. Examples are illustrative. Staff decisions and action gates remain.
Consent, comparable rate terms and approved venue constraints matter. Commercial changes and commitments remain staff approved in native tools.
Back office inventory
Finance and resource use
Payment settlement reconciliation
- Who uses it
- Finance analyst
- AI work
- Ranks ambiguous settlement matches and explains differences
- Intended benefit
- An owned queue of cash exceptions
- Simple example
- An OTA remittance differs because of fees
Supplier invoice approval
- Who uses it
- Accounts payable clerk
- AI work
- Extracts invoice fields and suggests coding
- Intended benefit
- Reviewable matches and approval evidence
- Simple example
- An invoice exceeds its purchase order
Guest ledger reconciliation
- Who uses it
- Night auditor and controller
- AI work
- Explains folio and settlement exception clusters
- Intended benefit
- A traceable daily close
- Simple example
- A card authorization has not become cash
Resource use and intervention proposals
- Who uses it
- Facilities and sustainability manager
- AI work
- Explains meter anomalies and proposes interventions
- Intended benefit
- Reviewable resource and comfort tradeoffs
- Simple example
- Overnight water use rises without more guests
Benefits are intended. Examples are illustrative. Staff decisions and action gates remain.
Matching does not permit posting or payment. Resource control needs a separate engineering envelope, local override and comfort checks.
Back office inventory
People, identity and shared knowledge
Voluntary staff feedback
- Who uses it
- HR lead
- AI work
- Summarizes redacted voluntary feedback above group limits
- Intended benefit
- Working condition themes for HR action
- Simple example
- A team reports recurring rota concerns
Staff commitments and reminders
- Who uses it
- Employee and team manager
- AI work
- Drafts actions and reminders for owner acceptance
- Intended benefit
- Accepted commitments stay visible
- Simple example
- A meeting action lacks a named owner
Guest profile linking
- Who uses it
- CRM data steward
- AI work
- Suggests profile matches and explains uncertainty
- Intended benefit
- Evidence for identity decisions
- Simple example
- Two guest profiles share a family email
Approved knowledge and corrections
- Who uses it
- Staff member and content owner
- AI work
- Finds approved knowledge and proposes corrections for review
- Intended benefit
- Current property specific answers
- Simple example
- Two properties have different checkout policies
Benefits are intended. Examples are illustrative. Staff decisions and action gates remain.
Feedback is voluntary and aggregated. People accept tasks and uncertain identity matches; content owners approve knowledge publication.
Back office inventory
Governed data and cross system answers
Governed data connections
- Who uses it
- Domain data steward
- AI work
- Suggests mappings and explains data anomalies
- Intended benefit
- Traceable definitions and trusted inputs
- Simple example
- A finance extract no longer ties to totals
Cross system questions
- Who uses it
- Operations or finance analyst
- AI work
- Interprets permitted questions and explains computed results
- Intended benefit
- Answers with definitions and source dates
- Simple example
- Compare pickup with the approved budget
Benefits are intended. Examples are illustrative. Staff decisions and action gates remain.
Certified definitions and cutoffs precede reporting. Owners approve release; simulations are modeled choices, not actual results or certified predictions.
Back office inventory
Leadership reporting and scenarios
Leadership reporting packs
- Who uses it
- Finance lead and report owner
- AI work
- Drafts evidence linked commentary and charts
- Intended benefit
- A reproducible pack for owner approval
- Simple example
- Prepare a monthly property performance review
Operating decision scenarios
- Who uses it
- Operations leader and domain expert
- AI work
- Helps specify scenarios and explain modeled results
- Intended benefit
- Visible assumptions before an operating choice
- Simple example
- Explore later checkout versus cleaning capacity
Evidenced objective updates
- Who uses it
- Department head and executive support
- AI work
- Drafts evidenced objective updates and flags gaps
- Intended benefit
- Comparable progress with visible missing inputs
- Simple example
- A monthly target changed since the last report
Benefits are intended. Examples are illustrative. Staff decisions and action gates remain.
Certified definitions and cutoffs precede reporting. Owners approve release; simulations are modeled choices, not actual results or certified predictions.
Back office inventory
Acquisition and development
Development site screening
- Who uses it
- Acquisition analyst
- AI work
- Structures permitted listings and proposes rankings
- Intended benefit
- Source backed leads for due diligence
- Simple example
- A planning update changes a site’s screening
Development oversight
- Who uses it
- Development project director
- AI work
- Summarizes approved baselines, risks and missing updates
- Intended benefit
- Owned exceptions in project reviews
- Simple example
- A cost update conflicts with an older budget
Site photo evidence
- Who uses it
- Site manager
- AI work
- Tags dated photos and flags missing coverage
- Intended benefit
- Comparable visual evidence for review
- Simple example
- This week’s upload repeats an old image
Benefits are intended. Examples are illustrative. Staff decisions and action gates remain.
Analysts verify sites and project facts. Photos and AI summaries do not certify construction, safety, payment milestones or investment decisions.
Proposed workflow
An extra night changes reservations and room work
Ask and identify
Guest asks for another night. Staff verifies stay identity and every request.
Check current options
PMS availability, rates and terms. AI proposes options and room work implications.
Confirm and change
Guest accepts terms. Reservations staff handles the priced extension in the native PMS.
Coordinate room work
After PMS readback, notify housekeeping. Supervisor replans the task and confirms ownership.
Verify and inform
Confirmed departure drives the reviewed reply. Housekeeping owns revised work; completion checked separately.
Proposed journey. A priced extension goes to staff in the PMS; automatic reservation change eligibility does not apply.
Proposed workflow
From supplier invoice to an approved accounting draft
Receive evidence
AP inbox holds the invoice. Procurement owns the purchase order and goods receipt.
Match and flag
AI extracts fields; rules check arithmetic, duplicates, PO and receipt. Exceptions return to AP.
Decide expenditure
Budget holder approves. Finance reviews coding, variance and separation of duties.
Create permitted draft
An enabled accounting adapter creates only the approved AP draft and posting proposal.
Read back the result
AP verifies draft reference and status. Finance retains separate posting and payment authority.
Proposed supplier invoice workflow. No automatic supplier creation, bank detail changes, ledger posting or payment release.
Intended value and commercial logic
Measure completed work and total operating cost
| Work | Primary measure | Include the exceptions |
|---|---|---|
| Guest requests | Effort per completed request | Unresolved handovers and reopens |
| Room work | Rooms ready by required time | Overdue work and repeat faults |
| Finance | Validated invoice handling time | Aged reconciliation exceptions |
| Whole platform | Total operating cost | Review, content, integration and support |
Recurring software by group, property and room. Implementation scoped separately. Pricing and margin need validation.
Include staff review, content stewardship, integration, infrastructure and support. No savings, revenue uplift or willingness to pay is established.
Future full platform
Base annual software scenario: USD 262m
Eligibility and pricing unvalidated. No verified global market or buyer census.
158 of 244 areas; 86 unquantified. Mixed stock and dates. Excludes China incl. Hong Kong/Macao, Russia and North Korea.
Substantive alternatives already exist
Compete against complete hospitality workflows
| Category | Examples | Relevant overlap |
|---|---|---|
| Hotel platforms | Mews, Cloudbeds | Reservations, guest journeys and integrations |
| Guest tools | HelloShift, Duve | Guest communication, services and task links |
| Operating tools | hotelkit, Sweeply | Teamwork, housekeeping and operating tasks |
| AI orchestration | Aphy, Inntelo | Back office and cross department overlap |
Lower total coordination effort with clear ownership, workable integrations and verified outcomes. Advantage remains unproven.
Vendor claims describe scope; they do not establish complete execution or independently verified outcomes.
Initial release and expansion
Start with a bounded guest service release
Reviewed guest work
Approved property knowledge, reviewed replies, read only enquiries and staff initiated service tasks.
Own the operation
Content and data owners, dispatch coverage, trained reviewers and protected business testers.
Expand on evidence
Production identity and rates, whole requests, source failures, owned handovers and agreed economics.
Proposed first release. Developer Demo tests are not operator acceptance. No booking or payment scope; support coverage requires agreement.
Operators and domain partners
Agree the first operating validation
Priority workflows, volumes and current effort.
Operator and department ownersSource rights, approved knowledge and accountable handovers.
Integration and domain partnersProtected business UAT and an accepted commercial offer.
Customer and delivery teamEnd of main pitch. Full requirements follow in the separate appendix.
Participation is proposed. No committed pilots, proven economics or funding amount is implied.
Pitch complete. Open the separate appendix.