ENGAGEMENT PROPOSAL

Genesis AI Intelligence — Sonesta International Hotels

Classification: Confidential — C-Suite Distribution Only
Prepared for: Keith Pierce & Jeff Leer, Co-CEOs (effective April 1, 2026)
Prepared by: Day 7 Public Benefit Corporation | Genesis AI Platform
Date: March 2026


PROPOSAL OVERVIEW

Day 7 Public Benefit Corporation proposes a phased engagement with Sonesta International Hotels Corporation to deploy Genesis AI intelligence across Sonesta's portfolio of approximately 1,100 properties, 13 brands, and 100,000 rooms.

This is not a proposal for software. It is a proposal for intelligence — the kind that transforms how a hotel company understands its markets, prices its rooms, serves its guests, and compounds its competitive advantage over time.

The engagement is structured so that Sonesta commits nothing until value is proven, invests modestly while value is validated, and scales investment only when evidence demands it. At every phase, the decision to continue is Sonesta's — based on data, not promises.

What Makes This Different

Most technology proposals for hotel companies begin with an integration timeline and a contract. This one begins with free work.

The package you are reading — 19 market analyses, 200+ property profiles, competitive intelligence, revenue projections, and strategic recommendations — was built at Day 7's expense using only publicly available data. It was produced by Genesis AI, the same platform being proposed for deployment.

This package is the proof of concept. The proposal that follows is the plan for scaling what this package demonstrates into a permanent operating advantage.


WHAT YOU GET

Phase 1: Proof of Intelligence (Weeks 1–4) — No Cost

Deliverable Description Quantity
Guest Intelligence Report Comprehensive demand ecosystem analysis — demand generators, guest segments, seasonal patterns, unserved demand signals 1 per pilot property (3 total)
WiFi Intelligence & ROI Model Assessment of revenue locked in existing WiFi authentication data — capture rate, segmentation potential, incremental revenue model 1 per pilot property
Competitive Pricing Analysis Real-time rate positioning vs. competitive set — rate gaps, event calibration, channel mix assessment 1 per pilot property
Corporate Account Opportunity Map Top 50 corporate demand generators within catchment area not currently in property's corporate rate structure 1 per pilot property
One Quick Win Single immediately actionable recommendation requiring no technology, no budget, no organizational change 1 per pilot property
Executive Briefing 60-minute presentation to Sonesta leadership summarizing findings and Phase 2 recommendation 1

Total Phase 1 cost to Sonesta: $0


Phase 2: Pilot Program (Months 2–4) — $3,500–$5,000/property/month

Deliverable Description Frequency
Dynamic Revenue Intelligence Daily rate optimization recommendations, event-driven pricing alerts, competitive rate monitoring, channel mix optimization Daily / Real-time
Reputation Intelligence Real-time review monitoring (Google, TripAdvisor, Booking, Expedia, Yelp), sentiment analysis, response drafting, competitive reputation benchmarking Real-time
Competitive Intelligence Rate parity monitoring, new supply tracking, market share estimation, competitive promotion detection Daily
Demand Forecasting 30/60/90-day projections by segment, event calendar integration, corporate booking pattern analysis Weekly updates
Property Dashboard Web-based dashboard consolidating all intelligence streams — accessible to GM, revenue manager, and regional leadership Always on
Monthly Performance Report Quantified impact analysis — RevPAR movement, ADR changes, occupancy trends, AI attribution Monthly
Dedicated Account Manager Named point of contact for all pilot properties — onboarding, training, issue resolution Ongoing
Quarterly Business Review Formal presentation of results, ROI calculation, and Phase 3 recommendation Once (end of pilot)

Phase 3: Portfolio Rollout (Months 5–12) — Volume-Tiered Pricing

All Phase 2 capabilities plus:

Deliverable Description Frequency
Cross-Property Learning Intelligence from every property informs every other property — pricing strategies, complaint patterns, corporate accounts, event playbooks Continuous
Portfolio Dashboard Enterprise-level view — brand comparisons, market trends, anomaly detection, franchise operator rankings Always on
Event Optimization Engine NFL/NBA/NHL/MLB game-day optimization, convention demand forecasting, FIFA 2026 dedicated intelligence Event-driven
Franchise Value Tools Franchise-specific dashboards, AI-driven performance benchmarking, franchise sales intelligence Ongoing
Integration Engineering PMS integration (read-only), rate shopping tool connections, CRM data feeds as needed Implementation phase
Training Program Role-specific training — GM, revenue manager, front desk, regional VP — customized by brand tier Rollout phase
24/7 Support Technical and operational support for all deployed properties Ongoing

Phase 4: Enterprise Scale (Year 2+) — Full Portfolio License

All prior capabilities plus:

Deliverable Description
Brand Intelligence Cross-brand performance analysis, brand migration recommendations, new brand strategy intelligence
Portfolio Strategy Acquisition target identification, disposition intelligence, development site analysis
Franchise Differentiation AI-powered franchise sales toolkit, operator benchmarking, retention intelligence
Continuous Compounding System improves with every month of data — seasonal learning, disruption resilience, competitive adaptation
Custom Development Sonesta-specific AI models trained on portfolio data — unique to Sonesta, non-transferable

INVESTMENT STRUCTURE

Phase 1: Proof of Intelligence

Item Cost
All deliverables for 3 pilot properties $0
Executive briefing $0
Total $0

No contract. No NDA required (though welcome). No obligation.

Phase 2: Pilot Program

Item Monthly Cost 3-Month Pilot Total
Per select-service property $3,500 $10,500
Per full-service property $5,000 $15,000
5-property pilot $17,500–$25,000/month $52,500–$75,000
10-property pilot $35,000–$50,000/month $105,000–$150,000
15-property pilot $52,500–$75,000/month $157,500–$225,000

Pilot pricing reflects the per-property rate ($3,500/month = $42,000/year = $0.94/room/night for a 125-room select-service property). No volume discounts apply during the pilot period.

Phase 3: Portfolio Rollout — Volume Tiers

Properties Licensed Annual per Property Monthly per Property Per Room/Night Annual Portfolio Cost
1–10 $42,000 $3,500 $0.94 $42K–$420K
11–49 $36,000 $3,000 $0.81 $396K–$1.76M
50–99 $30,000 $2,500 $0.68 $1.5M–$2.97M
100–199 $26,000 $2,167 $0.59 $2.6M–$5.17M
200–499 $22,000 $1,833 $0.49 $4.4M–$10.98M
500–999 $18,000 $1,500 $0.41 $9.0M–$17.98M
1,000+ $15,000 $1,250 $0.34 $15.0M+

Phase 4: Full Portfolio License

Scenario Properties Annual Cost Per Property/Year Per Room/Night
Conservative 1,100 $16.5M $15,000 $0.45
Full value 1,100 $19.8M $18,000 $0.49

Annual contract with 90-day exit provision. No long-term lock-in.


THREE ENGAGEMENT OPTIONS

Sonesta may select the engagement model that best aligns with its strategic posture and risk tolerance.

Option A: Consulting Engagement

Structure: Project-based or retainer consulting relationship
Best for: Organizations that want intelligence without committing to a platform

Component Pricing
Market intelligence report (per market) $15,000–$25,000
Property-level optimization assessment $5,000–$10,000 per property
Revenue strategy consulting (per market per quarter) $25,000–$50,000
Monthly retainer (dedicated analyst + AI tools) $15,000–$30,000
Executive strategy session (half-day) $10,000

Pros: Lowest commitment. No technology integration required. Sonesta retains all deliverables.
Cons: No continuous intelligence. No cross-property learning. No compounding. Each engagement starts from zero.

Recommended for: Initial relationship building if platform commitment is premature.


Structure: Per-property monthly license with volume tiers as described above
Best for: Organizations ready to deploy AI as a permanent operating layer

Component Included
All intelligence capabilities (revenue, reputation, competitive, demand)
Property and portfolio dashboards
Cross-property learning engine
Integration engineering
Training and onboarding
Dedicated account team
Quarterly business reviews
24/7 support (Phase 3+)
Custom model development (Phase 4)

Pros: Full intelligence capability. Cross-property learning activated. Compounding value. Predictable cost structure. Scalable.
Cons: Requires PMS integration (read-only) for full value. Monthly commitment per property.

Recommended for: The engagement described in this package. This is the model that delivers the projected $62M–$168M+ annual portfolio value.


Option C: Revenue Share Partnership

Structure: Lower base fee + percentage of AI-attributable incremental revenue
Best for: Organizations that want to align vendor economics with outcomes

Component Structure
Base platform fee 50% of standard license rate
Revenue share on AI-attributed incremental revenue 10–15% of measurable uplift
Measurement methodology Agreed-upon baseline + control group comparison
Minimum term 24 months (to allow compounding to activate)
Revenue share cap 2x standard license rate per property

Example at 100 properties:
- Base fee: $1.3M/year (50% of $2.6M standard)
- If AI generates $15M incremental revenue: 12.5% share = $1.875M
- Total cost: $3.175M for $15M in value (4.7x ROI)
- Revenue share cap: $5.2M maximum regardless of performance

Pros: Aligns Day 7's incentives with Sonesta's outcomes. Lower upfront commitment. Day 7 is paid for results.
Cons: Requires transparent revenue data sharing. More complex measurement methodology. Longer minimum commitment.

Recommended for: Organizations that want maximum alignment between vendor compensation and performance.


TIMELINE: FROM FIRST MEETING TO PORTFOLIO DEPLOYMENT

Week/Month Activity Sonesta Action Required Day 7 Action
Week 0 Initial meeting 30-minute intelligence demo Present this package, discuss fit
Week 1 Scope agreement Confirm pilot properties, designate executive sponsor Prepare pilot intelligence work
Weeks 2–4 Phase 1 delivery GM availability for validation, review deliverables Deliver intelligence packages for 3 properties
Week 4 Decision point Evaluate Phase 1, decide Phase 2 Present findings, recommend Phase 2 scope
Month 2 Phase 2 kickoff Provide PMS read-only access, designate revenue contact Onboard pilot properties, deploy platform
Months 2–4 Phase 2 execution GM and revenue manager engagement, franchise operator coordination Daily intelligence delivery, monthly reports
Month 4 Decision point Evaluate pilot ROI, prepare board materials Deliver quarterly business review, Phase 3 proposal
Month 5 Phase 3 begins Approve volume tier, IT integration support Wave 1 deployment (FIFA markets)
Months 5–6 Wave 1 Franchise communication, regional VP engagement Deploy 40–60 properties
June–July FIFA World Cup Execute AI-optimized pricing and operations Real-time event intelligence across all host-city properties
Months 7–8 Wave 2 Continue rollout Deploy 30–50 additional properties
Months 9–12 Wave 3 Full portfolio communication Deploy remaining markets
Month 12 Year 1 review Evaluate full portfolio ROI, negotiate enterprise license Deliver annual performance report
Year 2 Enterprise scale Board approval for full portfolio license Full 1,100-property deployment

TEAM

Day 7 / Genesis — What We Provide

Role Responsibility Phase
Engagement Lead Single point of accountability for the Sonesta relationship. Owns timeline, deliverables, and escalation. All phases
AI Intelligence Analysts Produce market intelligence, demand forecasting, competitive analysis. Domain expertise in hospitality and revenue management. All phases
Integration Engineers PMS integration, data pipeline setup, API connections. Handle all technical implementation. Phase 2+
Customer Success Manager Day-to-day contact for pilot and rollout properties. Training, onboarding, issue resolution. Phase 2+
Data Scientists Model development, learning algorithm optimization, custom Sonesta-specific model training. Phase 3+
Executive Sponsors Senior Day 7 leadership available for strategic discussions and QBRs. All phases

Sonesta — What We Need From You

Role Responsibility Time Commitment
Executive Sponsor Champion the engagement internally. Decision authority for phase transitions. 2–4 hours/month
Revenue Management Liaison Primary contact for revenue strategy questions and PMS data coordination. 5–10 hours/month (Phase 2+)
IT Liaison Provide PMS API access (read-only), coordinate data security review. 10–20 hours total (Phase 2 setup)
Pilot Property GMs Participate in intelligence validation, implement quick wins, provide feedback. 3–5 hours/month during pilot
Franchise Relations Contact Coordinate communication with franchise operators for Phase 3 rollout. 5–10 hours/month (Phase 3+)

No new hires are required. No organizational restructuring. The engagement is designed to overlay existing operations, not disrupt them.


DATA SECURITY

Enterprise-Grade Protection

Security Measure Standard
Encryption at rest AES-256
Encryption in transit TLS 1.3
Access control Role-based access with multi-factor authentication
Data residency U.S.-based infrastructure, data does not leave U.S. jurisdiction
SOC 2 Type II Compliance pathway in progress; target certification Q3 2026
PCI DSS No payment card data is collected, stored, or processed
Data ownership All Sonesta data remains Sonesta's property at all times
Data portability Full export available at any time in standard formats
Data isolation Sonesta data is logically isolated from all other clients
Retention policy Configurable by Sonesta — default 7 years
Deletion on termination All Sonesta data deleted within 30 days of contract termination upon request

What We Do Not Do

Compliance and Audit


COMPETITIVE CONTEXT: WHAT THIS WOULD COST ELSEWHERE

This intelligence capability is not available from traditional hospitality consultants at any price, because it requires an AI platform purpose-built for the hospitality industry. For comparison, here is what Sonesta would pay for comparable scope from other providers:

Traditional Consulting

Provider Comparable Scope Estimated Cost Timeline
Accenture Enterprise AI strategy + implementation for hospitality portfolio $5M–$15M (strategy only); $25M–$75M (implementation) 18–36 months
McKinsey Revenue optimization strategy for hotel portfolio $3M–$8M (strategy only, no technology) 6–12 months
Deloitte Digital transformation assessment + AI roadmap $2M–$6M (assessment); $15M–$40M (implementation) 12–24 months
Slalom AI implementation for regional hotel group $1M–$5M per market 6–12 months per market
BCG AI-driven pricing strategy consulting $2M–$5M (strategy only) 6–9 months

Hospitality Technology Vendors

Provider Product Cost for 1,100 Properties Limitation
IDeaS (SAS) Revenue management system $10M–$25M/year Revenue management only — no reputation, competitive, or cross-property learning
Duetto Revenue strategy platform $8M–$15M/year Revenue focus only
OTA Insight Rate intelligence $3M–$5M/year Rate shopping only — no demand forecasting, reputation, or cross-property intelligence
ReviewPro (Shiji) Reputation management $2M–$4M/year Reputation only
Combined (all above) Partial coverage of Genesis scope $23M–$49M/year Still no cross-property learning, no unified intelligence, no compounding

Genesis AI

Component Cost for 1,100 Properties
Revenue intelligence Included
Reputation intelligence Included
Competitive intelligence Included
Demand forecasting Included
Cross-property learning Included
Event optimization Included
Franchise value tools Included
Portfolio strategy intelligence Included
Custom model development Included
Integration engineering Included
Training and support Included
Total $16.5M–$19.8M/year

The traditional consulting path costs more, delivers less, takes longer, and produces no compounding intelligence. The point-solution vendor path costs more, requires managing 4–5 vendor relationships, produces no cross-system learning, and creates integration complexity.

Genesis delivers a unified intelligence layer at a fraction of the cost, with compounding value from day one.


ABOUT DAY 7

Day 7 Public Benefit Corporation is structured as a public benefit corporation — a legal designation that embeds social purpose alongside shareholder value. The company was founded on the principle that artificial intelligence should serve human flourishing, not replace human judgment.

Genesis AI is a sovereign, enterprise-grade intelligence platform built on open-source infrastructure. It is not a resold API from OpenAI, Google, or Anthropic — it is a purpose-built system designed for industries where data sovereignty, competitive sensitivity, and compounding intelligence create durable advantage.

Technical Foundation

Component Specification
Infrastructure Dedicated GPU cluster (8x NVIDIA H200, 2TB RAM)
Models Proprietary + open-source; not dependent on any single AI vendor
Data sovereignty All data processed on owned infrastructure; no third-party model training
Knowledge graph 5.3M+ nodes of industry intelligence
Vector database 5.1M+ embedded objects for semantic search and pattern recognition
Processing capacity 1M+ token context windows; multi-model consensus for critical outputs

Why a Public Benefit Corporation

Day 7's legal structure means that intelligence produced by Genesis cannot be used to deceive, manipulate, or exploit the people it serves. Guest data is never monetized. Competitive intelligence is never shared. The system is designed to make good operators better — not to replace human expertise with algorithmic opacity.

This is not marketing language. It is a legal obligation encoded in the company's articles of incorporation.


NEXT STEP

Schedule a 30-minute intelligence demo.

No contract. No commitment. No cost.

In that meeting, we will:

  1. Walk through the market analysis most relevant to Sonesta's immediate priorities
  2. Demonstrate a live intelligence query on a Sonesta property using only public data
  3. Answer questions about the phased deployment model
  4. Discuss which properties would be most valuable for Phase 1

The package you are reading is the largest proof of concept we can produce without your participation. The next step is a conversation about whether this intelligence is worth deploying at scale.

We believe the evidence speaks for itself. But evidence needs a listener.


How to Reach Us

Day 7 Public Benefit Corporation
Genesis AI Platform

To schedule: Reply to the contact who delivered this package, or reach Day 7 through the channels provided with this document.


This proposal was produced using Genesis AI and publicly available data. No Sonesta proprietary information was used in its preparation. All pricing is valid for 90 days from the date of this document. Revenue projections are based on published industry benchmarks applied to publicly available property and market data. Actual results will vary based on property participation, market conditions, and implementation scope.


Appendix: Documents Included in This Package

Section Document Count
Executive Package Executive Summary, Genesis Positioning, Sonesta AI Strategy 3 documents
Market Deep Dives 11 full market analyses + 8 secondary market briefs + Richardson deep dive 20 documents
Financial Case ROI Model, Market Comparison Matrix 2 documents
Action Plan Enterprise Execution Plan, Engagement Proposal, Industry Analysis 3 documents
Total Complete intelligence package 28 documents