Prompts • Skills • Connectors • Agents • Hotel workflows • Tools
AI Playbook
for Hotel & Resort Operators
For general managers, finance, revenue management, and operations staff at hotel groups, resorts, and event venues. A practical guide to revenue management, group sales and RFPs, multi-property accounting, labor scheduling, guest review responses, and food and beverage costs.
Who this playbook is for
This playbook is for the people who run hotels and venues. It's for operators of hotel groups, independent hotels, resorts, and event venues, covering revenue, sales, finance, labor, reputation, and F&B. It isn't for travelers planning trips or for short-term rental hosts.
- General managers and hotel leadership
- Revenue management and distribution teams
- Group sales, catering, and event venue teams
- Hotel controllers and multi-property finance
- Operations, HR, F&B, and guest experience leaders
- Travelers planning trips
- Short-term rental hosts
- Restaurant-only operators (see the Restaurant & Foodservice playbook)
Start With Your Role
Choose the role closest to your day-to-day work. Start with one useful prompt, make it repeatable, then add the information it needs.
- Start with: monthly owner report or weekly operations summary
- Save as a skill: owner report format and KPIs
- Connect: P&L, pace, review exports
- First agent: owner report drafter
- Measure: report time, owner satisfaction
- Start with: pace & pickup review or displacement analysis
- Save as a skill: meeting packet and displacement method
- Connect: PMS and RMS exports, STR data
- First agent: daily pace & pickup monitor
- Measure: RevPAR index, forecast accuracy
- Start with: RFP response draft or group pace
- Save as a skill: approved terms and response format
- Connect: sales and catering exports
- First agent: RFP screener & response drafter
- Measure: response time, win rate
- Start with: night audit exception review or close status
- Save as a skill: exception rules and USALI mapping
- Connect: PMS audit and accounting exports
- First agent: night audit exception reviewer
- Measure: close days, exceptions resolved
- Start with: forecast-based housekeeping schedule
- Save as a skill: standards and labor rules
- Connect: forecasts and labor system
- First agent: weekly schedule builder
- Measure: CPOR, overtime
- Start with: food cost variance or review responses
- Save as a skill: cost method or response style guide
- Connect: inventory, POS, review feeds
- First agent: F&B cost monitor or review response drafter
- Measure: cost %, response rate
100 AI Prompts for Hotel & Resort Operators
Ready-to-use prompts for revenue management, distribution, group sales, events and catering, multi-property accounting, owner reporting, labor scheduling, guest reviews, F&B costs, and operations. Copy one, add your property's context, and review the result.
Use reports you already trust, keep card and guest details out, and review the result before it reaches a guest, client, owner, or employee.
Prompts for pace, pickup, pricing, and forecasting. Your revenue manager and RMS set the rates.
A consistent pace review focuses the revenue meeting on dates that matter.
Risks: Pace alone doesn't explain demand. Control: Revenue manager decides with RMS and market data.
Structured meetings produce decisions instead of report reading.
Risks: Data must be current. Control: Pull reports the morning of.
Indexes show whether you're winning or losing share, not just whether the market moved.
Risks: Comp set data has license terms. Control: Use within your STR agreement.
A shared calendar aligns sales, revenue, and operations.
Risks: Event dates change. Control: Verify with official sources.
Knowing your bias improves staffing and budget decisions.
Risks: One month can mislead. Control: Track a rolling 3 months.
Options beat reflexive price cuts.
Risks: Rate decisions are the revenue manager's. Control: Revenue manager decides.
Displacement math prevents taking groups that lose money.
Risks: Forecasts are estimates. Control: Revenue and sales leaders decide together.
Restrictions left too long turn away business.
Risks: Restriction data may not capture lost demand. Control: Combine with regrets and denials data.
Ancillaries add margin with little cost.
Risks: Fee disclosure rules apply. Control: Follow current federal and state rules on displaying total price including mandatory fees.
Portfolio leaders need one consistent view.
Risks: Properties differ in markets. Control: Discuss with property teams.
Override reviews show whether human changes help or hurt.
Risks: Outcomes depend on many factors. Control: Use as discussion input.
12 Claude-Ready Hotel Operations Skills
These are downloadable Claude Skill packages, not just longer prompts. Each includes a SKILL.md your team can tailor with your standards and agreements. A copy-and-paste version works in ChatGPT and other AI tools.
Connect Your Work
AI can only help with the information it can see. Start with one system, see what it can do, then add more when you are ready.
Easy start
Start with a limited, low-risk connection your team can test quickly.
- Access: scheduled PMS, RMS, and accounting report exports (pace, night audit, P&L) into a shared folder your AI assistant can read
- Useful for: pace reviews, night audit exceptions, owner report drafts
- Setup & limit: remove card data and unnecessary guest details before export; name an owner
- Access: Outlook, SharePoint, Excel, and Teams connections, or Microsoft Copilot in your tenant
- Useful for: owner reports, budgets, SOPs, and brand standards
- Setup & limit: admin controls access; start with one property site
- Access: Gmail, Drive, Sheets, and Calendar connections in Claude and ChatGPT
- Useful for: sales materials, event calendars, and reports
- Setup & limit: keep guest personal data out of shared folders
- Access: the official Slack connection for Claude and ChatGPT
- Useful for: property and leadership channel summaries
- Setup & limit: exclude HR and guest incident channels
Needs an administrator
Useful, but someone needs to set access and permissions first.
- Access: Apaleo launched the first PMS MCP server (September 2025), letting AI agents read hotel data and perform actions through its open platform and Agent Hub
- Useful for: reservation, availability, and operational questions for properties on Apaleo
- Setup & limit: action-capable; start with read-only use and approve any action explicitly
- Access: dailypoint has introduced MCP support for guest intelligence; other CRM vendors are following
- Useful for: guest profile and segmentation questions
- Setup & limit: minimum necessary guest data; privacy review before enabling
- Access: Sage Intacct, NetSuite (AI Connector Service with admin setup), or M3 reports
- Useful for: P&L, variance, and close questions
- Setup & limit: read-only role; postings stay with controllers
Integration project
Plan the use case, source data, permissions, and owner before connecting.
- Access: OPERA Cloud offers the Oracle Hospitality Integration Platform (OHIP) APIs; Mews and Cloudbeds offer APIs; no official direct Claude or ChatGPT connector is confirmed here
- Useful for: governed, read-only data feeds for reporting and forecasting
- Setup & limit: an IT project; define fields, PCI scope, and logging
- Access: Duetto, IDeaS, and others have their own AI and APIs
- Useful for: forecast and recommendation exports for review
- Setup & limit: the RMS stays the pricing engine
- Access: Delphi.fdc, Salesforce, Tripleseat, and Cvent
- Useful for: pipeline, pace, and BEO exports
- Setup & limit: client data stays in the system; export minimum fields
Good to know
Limits and honest gaps.
- Access: card data is governed by PCI DSS
- Useful for: nothing in AI tools; use masked data and tokenized systems only
- Setup & limit: keep AI tools out of PCI scope
- Access: vacation rental hosts and travelers have different needs
- Useful for: not covered here; this playbook is for the people who run hotels and venues
- Setup & limit: independent hotels and venues are in scope
Tools
Choose the AI tools and hospitality software that fit your properties. The goal is to make your existing systems easier to use, not replace everything at once.
AI Assistants
4Property Management
5Revenue & Distribution
6Sales, Catering & Events
5Accounting & Procurement
5Labor
4Reputation & Guest Experience
5Food & Beverage
4Collaboration
312 AI Agents for Hotel & Resort Operators
An agent is an assistant for one recurring job. It gathers the right information, follows your process, and prepares the work for someone to review and decide.
A good first agent handles one task your team already does, reads reports without changing them, never contacts guests, clients, or owners, and hands its work to a named person.
# Daily Pace & Pickup Monitor ## Job to be done Spot demand changes in time to act. ## When it runs Every morning after the night audit. ## Approved context On-the-books, pickup, STLY, budget, events calendar. ## Operating loop Find dates with unusual pickup or gaps; summarize by segment; draft options for the revenue manager. ## What it delivers A daily pace alert. ## Human owner Revenue manager. ## What it must never do Never change rates, restrictions, or inventory. ## How to measure it RevPAR index, forecast accuracy, response time to demand shifts. ## Operating rules 1. Use only approved sources and follow the linked hotel skill. 2. Cite report, folio, or record IDs and separate facts from assumptions. 3. Route safety issues, material variances, and contract exceptions to the human owner. 4. Keep a record of trigger, inputs, output, reviewer, decision, and override. 5. Stop and ask for human review when agreements, standards, or approval authority are unclear. 6. Use PMS and guest data connectors read-only unless the owner has approved a specific action.
# RFP Screener & Response Drafter ## Job to be done Answer qualified RFPs faster with approved terms. ## When it runs When an RFP arrives. ## Approved context RFP details, displacement data, approved offer guidelines, hotel facts. ## Operating loop Screen against criteria; run displacement; draft response for approved terms; list questions. ## What it delivers A screened RFP with draft response. ## Human owner Director of sales. ## What it must never do Never send proposals or commit space or rates. ## How to measure it RFP response time, win rate, group profitability. ## Operating rules 1. Use only approved sources and follow the linked hotel skill. 2. Cite report, folio, or record IDs and separate facts from assumptions. 3. Route safety issues, material variances, and contract exceptions to the human owner. 4. Keep a record of trigger, inputs, output, reviewer, decision, and override. 5. Stop and ask for human review when agreements, standards, or approval authority are unclear. 6. Use PMS and guest data connectors read-only unless the owner has approved a specific action.
# Group Pickup & Attrition Watch ## Job to be done Act on low pickup before cut-off. ## When it runs Weekly; daily in the 30 days before cut-off. ## Approved context Group blocks, pickup, cut-off dates, attrition terms. ## Operating loop Compare pickup to block; estimate attrition exposure; draft planner reminders for sales managers. ## What it delivers A pickup risk report. ## Human owner Group sales managers. ## What it must never do Never release rooms or contact planners. ## How to measure it Attrition collected, wash accuracy, released inventory resold. ## Operating rules 1. Use only approved sources and follow the linked hotel skill. 2. Cite report, folio, or record IDs and separate facts from assumptions. 3. Route safety issues, material variances, and contract exceptions to the human owner. 4. Keep a record of trigger, inputs, output, reviewer, decision, and override. 5. Stop and ask for human review when agreements, standards, or approval authority are unclear. 6. Use PMS and guest data connectors read-only unless the owner has approved a specific action.
# BEO Readiness Checker ## Job to be done Make sure every event is fully specified before it happens. ## When it runs 14 and 3 days before each event. ## Approved context Contracts, BEOs, guarantees, room diagrams. ## Operating loop Check BEOs against contracts; list missing details, guarantee status, and dietary notes; flag staffing needs. ## What it delivers A BEO readiness list. ## Human owner Catering and conference services manager. ## What it must never do Never change BEOs or contact clients. ## How to measure it Event issues, late changes, client satisfaction. ## Operating rules 1. Use only approved sources and follow the linked hotel skill. 2. Cite report, folio, or record IDs and separate facts from assumptions. 3. Route safety issues, material variances, and contract exceptions to the human owner. 4. Keep a record of trigger, inputs, output, reviewer, decision, and override. 5. Stop and ask for human review when agreements, standards, or approval authority are unclear. 6. Use PMS and guest data connectors read-only unless the owner has approved a specific action.
# Night Audit Exception Reviewer ## Job to be done Catch posting and policy exceptions every day. ## When it runs Every morning after night audit at each property. ## Approved context Night audit reports, policies. ## Operating loop Flag unusual allowances, rate overrides, comps, open folios, and discrepancies by property. ## What it delivers A daily exception queue per property. ## Human owner Property controller. ## What it must never do Never adjust folios or post entries. ## How to measure it Exceptions resolved, policy violations, audit findings. ## Operating rules 1. Use only approved sources and follow the linked hotel skill. 2. Cite report, folio, or record IDs and separate facts from assumptions. 3. Route safety issues, material variances, and contract exceptions to the human owner. 4. Keep a record of trigger, inputs, output, reviewer, decision, and override. 5. Stop and ask for human review when agreements, standards, or approval authority are unclear. 6. Use PMS and guest data connectors read-only unless the owner has approved a specific action.
# Close Status & Ledger Monitor ## Job to be done Keep the multi-property close on time and ledgers clean. ## When it runs Daily during close; weekly for ledgers. ## Approved context Close checklists, AR ledgers, settlement reports. ## Operating loop Summarize close status; flag overdue tasks; age ledgers; flag settlement gaps. ## What it delivers A portfolio close and ledger report. ## Human owner Regional controller. ## What it must never do Never post, reconcile, or contact clients. ## How to measure it Close days, ledger aging, unreconciled items. ## Operating rules 1. Use only approved sources and follow the linked hotel skill. 2. Cite report, folio, or record IDs and separate facts from assumptions. 3. Route safety issues, material variances, and contract exceptions to the human owner. 4. Keep a record of trigger, inputs, output, reviewer, decision, and override. 5. Stop and ask for human review when agreements, standards, or approval authority are unclear. 6. Use PMS and guest data connectors read-only unless the owner has approved a specific action.
# Owner Report Drafter ## Job to be done Cut the time to produce monthly owner reports. ## When it runs Monthly after close. ## Approved context USALI P&L, budget, KPIs, comp set, capital status. ## Operating loop Compare to budget and last year; analyze flow-through; draft narrative and outlook with questions. ## What it delivers A draft owner report. ## Human owner GM and finance director. ## What it must never do Never send reports to owners. ## How to measure it Prep time, edits needed, on-time delivery. ## Operating rules 1. Use only approved sources and follow the linked hotel skill. 2. Cite report, folio, or record IDs and separate facts from assumptions. 3. Route safety issues, material variances, and contract exceptions to the human owner. 4. Keep a record of trigger, inputs, output, reviewer, decision, and override. 5. Stop and ask for human review when agreements, standards, or approval authority are unclear. 6. Use PMS and guest data connectors read-only unless the owner has approved a specific action.
# Weekly Schedule Builder ## Job to be done Draft schedules that match forecast demand. ## When it runs Weekly before schedules are posted; when the forecast changes significantly. ## Approved context Forecasts, standards, availability, labor rules. ## Operating loop Calculate needs by department and day; draft schedules; flag overtime and rule conflicts. ## What it delivers Draft schedules for managers. ## Human owner Department managers. ## What it must never do Never post schedules or contact staff. ## How to measure it Labor cost per occupied room, overtime, schedule changes. ## Operating rules 1. Use only approved sources and follow the linked hotel skill. 2. Cite report, folio, or record IDs and separate facts from assumptions. 3. Route safety issues, material variances, and contract exceptions to the human owner. 4. Keep a record of trigger, inputs, output, reviewer, decision, and override. 5. Stop and ask for human review when agreements, standards, or approval authority are unclear. 6. Use PMS and guest data connectors read-only unless the owner has approved a specific action.
# Overtime & Productivity Watch ## Job to be done Spot labor drift mid-pay-period. ## When it runs Twice weekly. ## Approved context Time and attendance, volume, standards. ## Operating loop Compare hours to standards; project overtime; flag departments drifting. ## What it delivers A mid-period labor alert. ## Human owner GM and department heads. ## What it must never do Never change timecards or schedules. ## How to measure it Overtime hours, productivity vs. standard. ## Operating rules 1. Use only approved sources and follow the linked hotel skill. 2. Cite report, folio, or record IDs and separate facts from assumptions. 3. Route safety issues, material variances, and contract exceptions to the human owner. 4. Keep a record of trigger, inputs, output, reviewer, decision, and override. 5. Stop and ask for human review when agreements, standards, or approval authority are unclear. 6. Use PMS and guest data connectors read-only unless the owner has approved a specific action.
# Review Response Drafter ## Job to be done Respond to every review quickly and well. ## When it runs Daily as new reviews post. ## Approved context Review feeds, voice guide, escalation rules. ## Operating loop Draft responses; escalate safety, legal, and serious issues to the GM; tag themes and departments. ## What it delivers Response drafts and escalations. ## Human owner Guest relations manager. ## What it must never do Never post responses, offer compensation, or contact guests. ## How to measure it Response rate and time, rating trend. ## Operating rules 1. Use only approved sources and follow the linked hotel skill. 2. Cite report, folio, or record IDs and separate facts from assumptions. 3. Route safety issues, material variances, and contract exceptions to the human owner. 4. Keep a record of trigger, inputs, output, reviewer, decision, and override. 5. Stop and ask for human review when agreements, standards, or approval authority are unclear. 6. Use PMS and guest data connectors read-only unless the owner has approved a specific action.
# F&B Cost Monitor ## Job to be done Catch food and beverage cost drift early. ## When it runs Weekly; after month-end inventory. ## Approved context Inventory, purchases, POS sales, recipes, vendor prices. ## Operating loop Calculate cost % by outlet; compare to theoretical; flag price increases and variance drivers. ## What it delivers An F&B cost report. ## Human owner F&B director and executive chef. ## What it must never do Never change menus, prices, orders, or recipes. ## How to measure it Food and beverage cost %, variance to theoretical. ## Operating rules 1. Use only approved sources and follow the linked hotel skill. 2. Cite report, folio, or record IDs and separate facts from assumptions. 3. Route safety issues, material variances, and contract exceptions to the human owner. 4. Keep a record of trigger, inputs, output, reviewer, decision, and override. 5. Stop and ask for human review when agreements, standards, or approval authority are unclear. 6. Use PMS and guest data connectors read-only unless the owner has approved a specific action.
# Channel Parity & Mix Watch ## Job to be done Protect direct bookings and channel costs. ## When it runs Daily for parity; monthly for mix. ## Approved context Parity checks, channel production and costs. ## Operating loop Flag parity breaks and likely sources; report net revenue by channel. ## What it delivers A parity alert and mix report. ## Human owner Distribution manager. ## What it must never do Never change rates or channel settings. ## How to measure it Parity issues resolved, direct share, acquisition cost. ## Operating rules 1. Use only approved sources and follow the linked hotel skill. 2. Cite report, folio, or record IDs and separate facts from assumptions. 3. Route safety issues, material variances, and contract exceptions to the human owner. 4. Keep a record of trigger, inputs, output, reviewer, decision, and override. 5. Stop and ask for human review when agreements, standards, or approval authority are unclear. 6. Use PMS and guest data connectors read-only unless the owner has approved a specific action.
AI for Revenue Management
Use AI to review pace, comp set, displacement, and channels. Revenue managers and RMS set the rates.
- Prompts: pace & pickup review, comp set narrative, displacement analysis
- Skills: revenue pace & pricing review; distribution & channel management
- Connect: PMS and RMS reports (Duetto, IDeaS, Atomize), STR/CoStar data, Apaleo MCP if on Apaleo
- Agent: daily pace & pickup monitor; channel parity & mix watch
- What AI does: Dates ahead or behind STLY and budget
- Helps: Act on demand shifts
- Control: Revenue manager decides
- What AI does: Index trends and share loss
- Helps: Focus on where you lose
- Control: STR license terms
- What AI does: Group value vs. displaced transient
- Helps: Take the right groups
- Control: Leaders decide
- What AI does: Events and high-demand dates
- Helps: Align teams
- Control: Verify event dates
- What AI does: Net revenue after acquisition cost
- Helps: Grow profitable channels
- Control: Include all fees
- What AI does: Manual vs. RMS outcomes
- Helps: Better pricing habits
- Control: Discussion input
Revenue Implementation Checklist
WorkflowBefore You Start
- Export pace by segment and date
- Collect comp set reports
- Build an events calendar
- Baseline: RevPAR index, forecast accuracy
- Confirm RMS stays the pricing engine
After You Start
- Review pace daily
- Track forecast accuracy
- Review displacement on every large group
- Check parity daily
- Report index trends monthly
- Pricing: Revenue managers and RMS set rates; AI suggests options.
- Fee disclosure: Display total prices including mandatory fees per current rules.
- Competitor data: Use licensed data under its terms; never coordinate prices with competitors.
- Accuracy: Verify against the PMS.
- Action-capable connectors: PMS MCPs that can take actions need explicit approval.
AI for Group Sales & RFPs
Use AI to screen RFPs, draft responses, review contracts, and track pickup. Sales leaders own terms and relationships.
- Prompts: RFP response draft, contract clause review, group pace report
- Skills: group displacement & RFP response; group contracts & pickup management; catering & event operations
- Connect: sales and catering system (Delphi.fdc, Salesforce, Tripleseat), Cvent RFPs
- Agent: RFP screener & response drafter; group pickup & attrition watch; BEO readiness checker
- What AI does: Qualify against criteria and displacement
- Helps: Focus on winnable business
- Control: Director decides
- What AI does: Tailored responses with approved terms
- Helps: Faster replies
- Control: Terms approved first
- What AI does: Flags non-standard clauses
- Helps: Reduce risk
- Control: Counsel on deviations
- What AI does: Attrition exposure before cut-off
- Helps: Protect revenue
- Control: Sales talks to planners
- What AI does: Matches BEOs to contracts
- Helps: Flawless events
- Control: CSM confirms
- What AI does: Why you lose and to whom
- Helps: Better pricing
- Control: Improve reason codes
Group Sales Checklist
WorkflowBefore You Start
- Document RFP criteria and displacement rules
- Collect standard contract clauses
- Write hotel facts sheet
- Baseline: response time, win rate
- Clean pipeline statuses
After You Start
- Approve every offer
- Track response time
- Review contracts before sending
- Monitor pickup weekly
- Analyze lost business quarterly
- Commitments: Only approved rates, space, and concessions appear in proposals.
- Contracts: Leadership and counsel approve deviations.
- Client data: Planner and attendee data stay in the sales system.
- Payments: Never handle card numbers; follow PCI rules.
- Relationships: Sellers own client communication.
AI for Multi-Property Accounting
Use AI to review night audits, ledgers, settlements, and owner reports across properties. Controllers post and approve.
- Prompts: night audit exception review, close status, owner report
- Skills: multi-property accounting review; owner reporting & budgeting
- Connect: PMS and accounting exports (M3, Sage Intacct, NetSuite), settlement reports
- Agent: night audit exception reviewer; close status & ledger monitor; owner report drafter
- What AI does: Flags overrides, comps, and allowances
- Helps: Catch issues daily
- Control: Controller investigates
- What AI does: Portfolio close tracking
- Helps: On-time closes
- Control: Properties update
- What AI does: Guest and city ledger follow-up
- Helps: Faster collection
- Control: Manager approves outreach
- What AI does: Card settlements vs. deposits
- Helps: Find gaps and fees
- Control: Masked data only
- What AI does: Mapping checks across properties
- Helps: Comparable reporting
- Control: Controller decides
- What AI does: Variance narratives and outlook
- Helps: Faster, clearer reporting
- Control: GM and finance review
Accounting Control Checklist
ControlsBefore You Start
- Standardize USALI mapping
- Export night audit and ledger reports
- Document allowance and comp policies
- Confirm PCI scope
- Baseline: close days
After You Start
- Review exceptions daily
- Track close days
- Age ledgers weekly
- Reconcile settlements monthly
- Brief auditors on AI use
- Postings: AI never posts, adjusts folios, or reconciles accounts.
- PCI: Never handle full card numbers.
- Bank changes: Verify vendor bank changes independently.
- Agreements: Management agreements govern fees and reserves.
- Owner communication: GM and finance send owner reports.
AI for Labor Scheduling
Use AI to build schedules from forecasts and watch productivity and overtime. Managers schedule and comply with labor law.
- Prompts: forecast-based housekeeping schedule, productivity review, overtime analysis
- Skills: forecast-based labor scheduling; labor productivity & workforce analysis
- Connect: PMS forecasts, labor management system (UKG, Fourth/HotSchedules, Unifocus, Actabl)
- Agent: weekly schedule builder; overtime & productivity watch
- What AI does: Staffing from departures and stayovers
- Helps: Less overtime and idle time
- Control: Manager posts
- What AI does: Coverage by arrival curves
- Helps: Shorter lines
- Control: Adjust daily
- What AI does: Hours vs. standards by department
- Helps: Spot drift
- Control: Update standards
- What AI does: Vacancies, forecast misses, call-outs
- Helps: Fix root causes
- Control: HR confirms rules
- What AI does: Seasonal needs and lead times
- Helps: Staffed for peak
- Control: HR and counsel
- What AI does: Patterns by department and manager
- Helps: Retention actions
- Control: Stay interviews
Labor Implementation Checklist
ControlsBefore You Start
- Document productivity standards
- List labor laws, predictive scheduling rules, and union terms
- Export forecasts and availability
- Baseline: CPOR, overtime
- Name department owners
After You Start
- Managers review every schedule
- Track overtime mid-period
- Flex labor to volume
- Review standards quarterly
- Survey staff on fairness
- Law: Schedules follow wage and hour, break, predictive scheduling, and union rules.
- Decisions: Managers post schedules and approve changes.
- Fairness: No scheduling decisions based on protected characteristics.
- Privacy: Personnel data stays in HR systems.
- Communication: Managers communicate changes to staff.
AI for Guest Reviews & Reputation
Use AI to draft review responses, escalate serious issues, and turn feedback into fixes. Staff approve and post every response.
- Prompts: review response drafts, negative review triage, review theme analysis
- Skills: guest review response & reputation
- Connect: review platforms (Revinate, TrustYou, Medallia, ReviewPro), survey tools
- Agent: review response drafter
- What AI does: Specific, gracious replies
- Helps: Respond to every review
- Control: Staff approve and post
- What AI does: Safety, legal, and serious issues to the GM
- Helps: Leadership attention
- Control: GM and counsel
- What AI does: Top themes by department
- Helps: Fix root causes
- Control: Combine with surveys
- What AI does: Empowerment guidelines
- Helps: Fix issues on property
- Control: GM sets limits
- What AI does: Issues mentioned in reviews
- Helps: Catch missed problems
- Control: Inspect first
- What AI does: Consistent voice across properties
- Helps: Brand consistency
- Control: Brand approves
Reputation Implementation Checklist
WorkflowBefore You Start
- Write a response style guide
- Define escalation rules
- Connect review feeds
- Baseline: response rate and time
- Assign responders
After You Start
- Approve every response
- Track response time
- Report themes monthly
- Close the loop with departments
- Review style guide yearly
- Privacy: Never reveal reservation details, room numbers, or personal information.
- Liability: Never admit fault for safety or legal claims in public responses.
- Reviews rules: Don't offer incentives conditioned on positive reviews or post fake reviews.
- Escalation: Safety, discrimination, and health claims go to the GM.
- Posting: Staff post responses.
AI for Food & Beverage Costs
Use AI to analyze food and beverage cost, engineer menus, and reduce waste. Chefs and F&B directors decide.
- Prompts: food cost variance, menu engineering, recipe costing
- Skills: F&B cost control; catering & event operations
- Connect: inventory and purchasing system (Birchstreet, Restaurant365), POS (Toast, Oracle Simphony)
- Agent: F&B cost monitor
- What AI does: Actual vs. theoretical by outlet
- Helps: Find fixable gaps
- Control: Verify counts
- What AI does: Stars, plowhorses, puzzles, dogs
- Helps: Smarter menus
- Control: Chef decides
- What AI does: Cost per portion and sensitivity
- Helps: Accurate pricing
- Control: Update quarterly
- What AI does: Price increases and rebid candidates
- Helps: Stop price creep
- Control: Chef approves substitutions
- What AI does: Waste cost and causes
- Helps: Adjust production
- Control: Consistent logging
- What AI does: Overproduction vs. guarantees
- Helps: Lower banquet cost
- Control: Chef sets buffers
F&B Cost Control Checklist
ControlsBefore You Start
- Accurate monthly inventory counts
- Recipes and plate costs in a system
- POS item sales exports
- Baseline: food and beverage cost %
- Allergen matrix maintained by the chef
After You Start
- Review cost weekly
- Run menu engineering each menu change
- Track waste
- Rebid key items annually
- Verify allergen information with every change
- Allergens: Chef verifies all allergen information; AI flags only.
- Food safety: Follow health codes and HACCP practices; AI doesn't replace them.
- People: Variance investigations are handled by managers fairly.
- Menus: Chefs and F&B directors decide menus and prices.
- Vendors: Purchasing follows contracts and brand programs.
Set Up & Get Running
If you already use prompts, here is how to turn one into a repeatable skill and then a useful first agent. Start with a task that already works.
From prompt to first agent
- Choose a daily or monthly task
- Use real reports
- Good first choices: review responses, night audit exceptions, or pace review
- Write down inputs, output, and reviewer
- Test on three real cycles
- Improve when results are unclear
- Start with report exports
- Add PMS connectors read-only
- Keep PCI data out
- Start with a drafting or monitoring task
- Set when it runs; a person reviews
- Track time saved and quality
It's useful, visible, and easy to check. It drafts replies to new reviews and escalates serious issues to the GM. It doesn't post responses, offer compensation, or contact guests.
Copy these builders
Use the first after a prompt works. Use the second only after the skill has been tested on real work.
Days 1-30: Foundation
- Name an AI lead (GM or corporate)
- Write guest data and PCI rules
- Set up business accounts
- Set up report exports
- Pick 1 pilot (reviews or night audit)
- Record baseline
Days 31-60: Expand
- Save the pilot as a skill
- Add a 2nd workflow (pace review or schedule drafts)
- Draft the AI use policy
- Review vendor AI features
- Measure time saved
Days 61-90: Standardize
- Add a 3rd workflow (owner report or F&B cost)
- Adopt policy
- Pilot one review-only agent
- Roll out to a second property
- Report results
- Plan next wave
Implementation Success Measures
Measurement30-Day Targets
- Pilot running
- Baseline recorded
- No PCI or guest data incidents
- Staff trained
60-Day Targets
- Time saved measured
- Second workflow live
- Policy drafted
- Vendor AI reviewed
90-Day Targets
- 3 workflows with SOPs
- Policy adopted
- First agent piloted
- Second property live
- Decision on next wave
How the Pieces Fit Together
Start with a prompt. Save the ones that work. Add the systems and files they need. Then use an agent for recurring work, with someone checking the result.
- Ask AI to do one clear task
- Use it for a quick draft, analysis, or explanation
- Check the result before you use it
- Save the step-by-step instructions for a task your team repeats
- Add your policies, examples, and review steps
- Update it when your process or regulations change
- Bring the right systems, files, and reports into the task
- Stop copying and pasting information by hand
- Start read-only, with only the sources the task needs
- Run a skill on a schedule or when something happens
- Gather the information, prepare the work, and flag issues
- Leave rates, contracts, schedules, and guest decisions with people
Where AI Can Help Hotel Operators
Use AI to get routine hotel work into a clear first draft. Keep rates, contracts, staffing, and guest decisions with your team.
- Pace and comp set reviews
- Displacement analysis
- RFP responses from approved terms
- Group pickup tracking
- Night audit exception reviews
- Multi-property close tracking
- Owner report drafts
- Budget and flow-through analysis
- Forecast-based schedules
- Review response drafts
- F&B cost control
- PM and work order trends
- Rates and contracts
- Schedules and labor compliance
- Guest recovery and compensation
- Safety and security
AI Capabilities Explained
No jargon. What each kind of AI does, and what it looks like in hotel operations.
Claude, ChatGPT, Gemini, and Copilot write, summarize, and follow instructions.
At a hotel: RFP responses, owner reports, review responses, SOPs.
AI that reads your systems through connectors.
At a hotel: asking about availability or reservations through a PMS MCP such as Apaleo's.
Projects demand and volume from history and pace.
At a hotel: occupancy forecasts that drive housekeeping schedules.
Compares records to policies and flags exceptions.
At a hotel: night audit overrides, BEOs vs. contracts, parity checks.
Finds themes in reviews and surveys.
At a hotel: top complaint themes by department.
AI built into hospitality software.
At a hotel: RMS recommendations and review platform reply suggestions.
Guardrails: Guest Privacy, PCI & Owner Trust
Simple rules for using AI at hotels and venues. Guests trust you with their personal and payment data; owners trust you with their asset.
- Payment card data (PCI)
- Guest ID or passport details
- Guest personal details beyond the task
- Employee personnel data
- Rates, restrictions, and channel changes
- Group offers and contracts
- Schedules and labor law compliance
- Guest compensation
- Staff approve and post every review response
- Never reveal reservation details
- Never admit liability publicly
- No incentives for positive reviews only
- Start with report exports
- PMS connectors read-only first
- Action-capable connectors only with approval
- Review access quarterly
- Figures tie to USALI P&L
- Agreements quoted exactly
- Forward-looking statements reviewed
- GM and finance send owner reports
- Safety, security, and health issues to the GM
- Allergen info verified by chefs
- Incident reporting follows law
- AI never handles emergencies
Hotel AI Readiness Checklist
ControlsLeadership & Policy
- Executive sponsor named
- AI use policy adopted
- Business accounts with training off
- Vendor AI features reviewed
- Property teams trained
Practice & Review
- PCI data kept out
- Human approval on rates, contracts, and responses
- Exports minimize guest data
- Connector access reviewed quarterly
- Incidents and corrections tracked
Scope: General managers, revenue, sales, finance, operations, and corporate teams across all properties and venues.
Approved tools: [e.g., Claude Team; Microsoft Copilot; report exports to SharePoint; reviewed AI features in our PMS and RMS]
Approved uses: pace and comp set analysis, RFP and proposal drafts, night audit exception reviews, owner report drafts, forecast-based schedule drafts, review response drafts, F&B cost analysis.
Never enter into AI tools: payment card data, guest ID or passport details, unnecessary guest personal information, employee personnel data.
Human decisions: rates and restrictions, group terms and contracts, schedules and labor compliance, guest compensation, review posting, safety incidents.
Connectors: Read-only by default. Action-capable connectors (e.g., PMS MCP) only for specific approved actions with logging.
Approval: [COO / CFO / Owner representative], [date]
AI Maturity Model for Hotel Operators
See where your properties are today. Choose a realistic next step.
Curious + Ad Hoc
- Individuals use AI for emails and reviews
- No guest data or PCI rules
- No shared prompts
- Vendor AI unreviewed
Shared Prompts & Rules
- Guest data and PCI rules
- Business accounts
- Prompt library
- Report exports in place
Embedded Workflows
- Skills for revenue, accounting, labor, and reviews
- Adopted policy
- Read-only PMS or RMS connections
- Measured results across properties
Connected & Measured
- Review-only agents with owners
- Governed action-capable connectors
- Portfolio-wide adoption
- Quarterly reviews
Maturity Self-Assessment
AssessmentLeadership
- Sponsor
- Policy
- Training
- Vendor review
Practice
- Prompt library
- Skills
- SOPs
- Exports
Protection
- PCI out
- Guest data minimized
- Human approvals
- Connector reviews
Measurement
- Baseline
- Time saved
- Quality metrics
- Quarterly review