2:47 a.m. The night audit is running. Seven systems are talking. None of them are listening.
The PMS closes the day. The POS reconciles covers. The channel manager syncs rates. The housekeeping app pushes tomorrow's boards.
Each one works. Together, they remember nothing, and tomorrow your team pays for it one manual lookup at a time.
21 years · 300+ clients · 28 countries · NPS 75 · AWS Premier Partner · Anthropic Partner
Every hotel bought AI. Almost nobody runs on it.
Walk any lobby in 2026 and you'll find AI somewhere: a chatbot on the booking page, a pilot in revenue management, a vendor demo in the GM's inbox. On paper, adoption is nearly universal. In the P&L, it is nearly invisible.
The gap is not ambition. It is execution. Guest history lives in the PMS, spend lives in the POS, preferences live in the CRM, complaints live in email, and the institutional knowledge of your best GM lives in her head. Every AI tool bolted on top of that fragmentation inherits it.
of hotel owners say they've begun using AI in some form
have it embedded across most of their operations
want to do more with AI but feel overwhelmed by where to start
qualify as future built, with AI generating substantial measurable value
Sources: Wyndham 2026 Owner Trends Report · BCG x NYU 2026 hospitality AI analysis
What if the property remembered everything?
Imagine the 2:47 a.m. audit in a different hotel. The systems still run, but above them sits one intelligence layer that has read every folio, every group contract, every maintenance log, every review response, and every SOP your best people ever wrote.
This is what Sphere builds: connect the systems, capture the knowledge, then put AI to work where the money is.
SphereIQ · Connect
Every system, one nervous system
PMS, POS, CRS, channel managers, CRM, F&B, spa, golf, and loyalty integrated into a governed data layer instead of a nightly export folder.
SphereIQ · Company Brain
Your portfolio's institutional memory
Every SOP, contract, brand standard, and guest interaction becomes searchable, answerable knowledge so expertise stops walking out with turnover.
SphereIQ · Enterprise Twin
See the whole operation at once
A live operational picture across properties: occupancy, labor, F&B, maintenance, and guest sentiment in one pane, not eleven logins.
SphereIQ · AI Factory
Agents built for your workflows
Custom AI agents for reservations, group sales, review response, and invoice processing, built on your data and deployed in your stack.
SphereIQ · Governance
Guest trust, engineered in
PCI, GDPR/CCPA, and brand-standard guardrails from day one, because personalization without privacy is liability.
Six places we put AI to work in hospitality
Not a platform demo. Not a pilot that dies in procurement. Engineering engagements with named outcomes, scoped against your P&L.
HSP-01
Guest Intelligence & Personalization
A unified guest graph across PMS, POS, loyalty, and email, powering recognition at every touchpoint.
- Single guest profile across properties and brands
- Pre-arrival intelligence briefs for front desk and concierge
- Personalized offers that respect privacy rules
HSP-02
Revenue & Distribution AI
Move revenue management out of the midnight spreadsheet and into a governed forecasting layer.
- Demand forecasting with events, weather, and pace signals
- Rate-parity and channel-mix monitoring
- Group and catering pricing intelligence
HSP-03
Operations Copilots
AI agents inside the workflows your teams already run: housekeeping, engineering, F&B, and front office.
- Housekeeping board optimization and predictive room readiness
- Maintenance triage from tickets, photos, and history
- Shift-handoff summaries nobody has to write
HSP-04
Document Intelligence
Group contracts, franchise agreements, vendor invoices, and insurance documents read, extracted, and reconciled automatically.
- Group and event contract extraction into your systems
- Invoice processing and three-way match for F&B and OS&E
- Franchise and brand-standard compliance checks
HSP-05
Guest Voice & Reputation AI
Every review, survey, and complaint across every OTA and property turned into a single actionable signal.
- On-brand review responses at portfolio scale
- Sentiment early-warning by property, department, and shift
- Service-recovery playbooks triggered before checkout
HSP-06
Data Platform & AI Governance
The foundation everything above stands on: modern data infrastructure with guest privacy engineered in.
- Cloud data platform build-out
- PCI, GDPR, and CCPA-aligned guest data governance
- AI spend visibility and FinOps for tool sprawl
From audit to advantage in three moves
We do not ask you to bet the portfolio. We ask for one property, one workflow, and ninety days.
Move 01 · Weeks 1-3
AI Spend & Readiness Diagnostic
We audit your stack, your data, and your AI spend, then hand you a ranked roadmap of where AI will actually pay back.
Fixed scope · $8,500
Move 02 · Weeks 4-12
First-Value Build
One high-ROI use case from the roadmap, such as guest intelligence, contract extraction, or a revenue copilot, built and measured on your data.
Scoped from the Diagnostic
Move 03 · Quarter 2+
Scale Across the Portfolio
What worked at one property rolls out to the rest, with SphereIQ as the shared intelligence layer and governance holding the line.
Program engagement
We've done this where service is the product
Luxury private aviation is hospitality at 40,000 feet: same stakes, same speed, same intolerance for let me check and get back to you.
Featured · Monarch Air Group
A luxury air charter operator gave its entire team instant recall of 35,000+ documents
Charter agreements, aircraft specs, client preferences, and compliance records were scattered across decades of files. Sphere built an AI knowledge layer that lets team members answer client and operational questions in seconds while the client is still on the line.
US Tax Services AG · Document Intelligence
Six hours became seven minutes
A document-heavy workflow compressed from six hours to seven minutes, the same engine we apply to group contracts and vendor invoices.
6 hrs to 7 min
Read the storyPetroLedger · Process Automation
Back-office automation that pays for rollout
Annual savings from AI-driven back-office automation, the economics that make portfolio rollout self-funding.
$1.2M / year
Read the storyThe Hospitality AI Readiness Scorecard
Fifteen questions, five dimensions, three minutes. Score your property or portfolio against operators already generating real returns.
Data Foundation
Guest data from PMS, POS, and loyalty lives in one connected place.
We can answer who our top guests are across properties in under an hour.
Nightly reporting requires little or no manual spreadsheet work.
Guest Intelligence
Front desk and concierge see guest preferences and history before arrival.
Repeat guests are recognized consistently across properties and channels.
We personalize offers using actual behavior, not just booking segments.
Operations & Revenue
Revenue forecasting uses live demand signals, not last year's spreadsheet.
Housekeeping, maintenance, and F&B workflows produce data we can act on.
Group contracts and vendor invoices are processed with automation, not retyping.
Team & Knowledge
SOPs, brand standards, and tribal knowledge are documented and searchable.
When an experienced manager leaves, their knowledge stays behind.
Our teams have a sanctioned, safe way to use AI tools today.
Governance & Trust
We know exactly which AI tools we pay for and what each one returns.
Guest data handling meets PCI and privacy rules by design.
Someone owns AI strategy. It isn't a side project in the IT queue.
Straight answers for hospitality leaders.
What AI solutions does Sphere build for hotels and hospitality operators?+-
Sphere builds guest intelligence, revenue and distribution AI, operations copilots, document intelligence, guest voice analytics, and the governed data platform underneath. The work starts by connecting PMS, POS, CRS, CRM, loyalty, housekeeping, and finance data so AI can answer from the full operating context.
How fast can a hotel or portfolio get a first AI use case live?+-
A first hospitality AI use case can usually ship in 8-12 weeks after a focused diagnostic. Common first builds include a guest intelligence layer, contract extraction, review-response automation, or an operations copilot for housekeeping and engineering.
Can Sphere work with our existing PMS, POS, CRS, and loyalty systems?+-
Yes. Sphere builds on top of the systems hospitality teams already run, including PMS, POS, CRS, CRM, channel managers, loyalty, F&B, spa, golf, and finance platforms. The goal is connected intelligence, not a rip-and-replace migration.
How do you protect guest privacy when using AI?+-
Guest privacy is engineered into the AI layer from day one with role-based access, audit trails, source-cited answers, and PCI, GDPR, and CCPA-aware data handling. Personalization only works when the guest data foundation is governed.
Where should a hospitality team start with AI?+-
Start with one property, one workflow, and one measurable business outcome. Sphere usually begins with an AI Spend and Readiness Diagnostic, then ships the highest-payback workflow before scaling across the portfolio.
Book a hospitality AI working session
Bring your PMS/POS/CRM reality, your night-audit headache, or just the question your team cannot answer fast enough.
Book a 45-minute working session with a Sphere solutions architect. Bring your stack diagram, your biggest operational headache, or nothing at all, and we'll map where AI pays back first.