AI Transformation Blueprint — Aurelia Hotels & Resorts
This document is a sample report showing what an actual Blueprint output looks like. Company names and data are fictional.
Aurelia Hotels & Resorts
Multi-property hospitality group — 8 properties, 2,450 rooms across resort and city hotels
AI Maturity Assessment
AI on management agenda — roadmap needs structure
Guest journey and operations offer rich AI opportunity
PMS/CRM/channel data strong — guest 360 view needed
Hotel systems in place — AI orchestration layer needed
Service quality strong — AI-assisted work model not formalised
Guest data, pricing and complaint policy required
Score Framework
AI-Native
AI is first-class operational capability
Structured
Structured AI programme in place
Emerging
AI awareness exists — programme readiness underway
Initial
Individual AI use only — no institutional structure
Use Case Portfolio
13 use cases, ranked by priority score.
Guest Concierge & Pre-Stay Assistant
Pre-stay and pre-arrival AI assistant answering guest questions about facilities, rooms, services, and upsell
Guest Request & Complaint Triage Agent
Classifies and prioritises in-stay guest requests and complaints, routes to the right department
Front Desk & Hotel Knowledge Assistant
Fast-response knowledge assistant for front desk, guest relations, call centre and sales teams
Reservation Sales Copilot
Supports call centre and reservation teams with query answering, quote summarisation, and upsell prompts
Review & Reputation Intelligence
Turns OTA reviews, surveys and NPS data into property-level sentiment insights and action themes
Upsell & Ancillary Offer Engine
Recommends spa, F&B, transfer and ancillary services based on guest profile and stay context
Revenue Management Insight Copilot
Explains occupancy, ADR, RevPAR and channel performance in natural language with scenario support
Housekeeping & Room Readiness Assistant
Prioritises room readiness and maintenance tasks based on arrival schedule and guest impact
Executive Hospitality AI Dashboard
Natural language performance queries across properties, channels, F&B and guest satisfaction
Staff Training & SOP Assistant
Accelerates onboarding and training with instant access to SOPs and service standards
Loyalty & Repeat Guest Insight Assistant
Identifies repeat guest patterns and loyalty opportunities across the property portfolio
Maintenance Triage Assistant
Prioritises maintenance requests by urgency, room impact and guest stay timing
Multi-Agent Hotel Operating Assistant
Long-term AI-native hotel operations orchestration across all departments and properties
Recommended First 3 Pilots
The pilots to launch within 90 days.
Guest Concierge & Pre-Stay Assistant
An AI guest assistant that answers pre-booking and pre-arrival questions about facilities, rooms, dining, spa, transfers and special requests — reducing call centre load and improving the pre-stay experience.
Data Sources
- Property information documents
- Room & suite descriptions
- Dining & restaurant menus
- Spa & activity programmes
- Transfer & transport options
- Seasonal policies
- FAQ library
- Campaign & package data
90-Day Targets
| Metric | Now | Target |
|---|---|---|
| Monthly AI guest sessions | Not measured | 18,000+ |
| Basic question self-service rate | 15% | 45%+ |
| Info call volume to call centre | High | 20% reduction |
| Upsell offer click rate | Not measured | 10%+ |
| Guest satisfaction feedback | Not measured | 4 / 5+ |
Guest Request & Complaint Triage Agent
Classifies and prioritises in-stay guest requests and complaints, routes them to the correct department, and provides response draft suggestions to the guest relations team.
Data Sources
- Guest request & ticket history
- Department routing rules
- Room assignment & occupancy data
- Urgency & escalation policies
- Guest profile & VIP flags
- SLA targets by category
90-Day Targets
| Metric | Now | Target |
|---|---|---|
| Request classification accuracy | 70% | 87%+ |
| Critical complaint prioritisation | Manual | 80%+ correct risk flag |
| First routing time | 18 min | 6 min |
| Response draft usage rate | None | 50%+ |
| Escalation delay | Not measured | 30% reduction |
Front Desk & Hotel Knowledge Assistant
Gives front desk, guest relations, call centre and sales teams fast, source-grounded access to property information, service details, seasonal policies, procedures and SOPs.
Data Sources
- Property SOPs & service standards
- Seasonal policies & packages
- Room categories & features
- F&B, spa, activity info
- Check-in/out procedures
- Emergency & escalation protocols
- Staff training materials
90-Day Targets
| Metric | Now | Target |
|---|---|---|
| Knowledge search time | 11 min | < 3 min |
| Repeat internal question rate | High | 30% reduction |
| Source-grounded answer rate | None | 90%+ |
| New staff onboarding queries | High | 20% reduction |
| Wrong-info escalations | Not measured | Tracked & decreasing |
90-Day Action Plan
A structured three-month start.
Month 1
Foundation
AI governance kickoff
→ Guest data & human approval principles
Property document inventory
→ Concierge & Knowledge Assistant sources
Guest request & complaint analysis
→ Triage Agent scope
Pilot property selection
→ 1 resort + 1 city hotel recommendation
KPI baseline measurement
→ Response times, complaint routing, search
Month 2
Pilot Build
Guest Concierge v0.1
→ Facility / room / service Q&A prototype
Complaint Triage Agent v0.1
→ Request classification & prioritisation
Knowledge Assistant v0.1
→ Property & SOP knowledge assistant
Logging design
→ Prompt, response, source, approval records
Month 3
Controlled Pilot
Live pilot at selected properties
→ Pre-stay + guest relations pilot data
Front desk usage testing
→ Knowledge assistant active usage
KPI dashboard live
→ Self-service, classification, response
Governance revision
→ Human approval & escalation rules
Governance Framework
Control and accountability designed in from the start.
Decisions Requiring Human Approval
- Refund / goodwill / complimentary service decisions
- Room upgrade approval
- Price / discount decisions
- Reservation modification
- Complaint closure
- Binding guest-facing commitments
- Personal data and special request actions
- VIP / high-risk guest escalations
Data Security Principles
- AI responses must be grounded in verified property documents
- Guest data access controlled by role and permission level
- Personal preferences and requests used only within KVKK consent
- AI acts as advisor — refunds, upgrades and commitments require human approval
- All responses, routing decisions and recommendations must be logged
- Price and availability data must reflect live PMS values
- Regular quality review of guest-facing AI responses
- Complaint closures and goodwill decisions always require human sign-off
Expected Business Impact (12 Months)