SBT Hospitality Partners turns repeatable hotel operating workflows into controlled production AI systems—integrated with the stack you already use and measured against operating performance before wider deployment.
General Managers compiled PMS and maintenance data into Excel. High-priority guest issues moved through threaded email.
Automated daily summaries and real-time mobile routing moved priority incidents to the on-duty manager.
Anonymized multi-property hospitality operator · 14 properties · approximately 2,200 rooms · 35 operational users.
We focus first on repeatable workflows where the business owner, source systems, control points and operating outcome can all be measured.
Turn fragmented property information into a daily operating picture that surfaces material exceptions, explains what changed and routes the next action to the accountable manager.
Bring reservation context, service history and property policy together so routine requests move faster and high-impact incidents reach the right manager sooner.
Convert unstructured property issues into structured, prioritized work with clear escalation for safety-sensitive and higher-consequence cases.
SBT is not another hotel system. We work around the PMS, CRM, maintenance, service and enterprise platforms you already use.
We establish the current process, accountable owner, baseline performance and failure points before choosing the technical intervention.
Existing hotel and enterprise platforms remain systems of record while the AI layer retrieves context, assists decisions and routes approved actions.
Every pilot closes with measured operating performance, quality, human intervention and runtime economics—not a vague recommendation to “do more AI.”
The goal is not maximum automation. It is the right degree of automation for the consequence of the action.
PMS/CRS, CRM, service, maintenance, finance and approved operating knowledge.
Purpose-scoped retrieval, workflow logic, permissions, guardrails and approval conditions.
Return an answer, prepare a task, notify an owner or call an approved downstream interface.
Higher-consequence actions remain explicitly human.
The result below reflects one anonymized multi-property hospitality implementation measured over 90 days post-implementation.
14 properties · approximately 2,200 rooms · 35 operational users.
Property General Managers manually compiled daily operational data from separate PMS and maintenance systems into Excel every evening, taking approximately 90 minutes per reporting day per property. Guest escalations were tracked through threaded email.
Operational data synchronized into a centralized management workflow with automated daily summary digests and real-time mobile routing of high-priority guest escalations to the on-duty manager.
Client identity is withheld. Results reflect the stated implementation and measurement period and are not guarantees of future performance.
We validate provider boundaries, data handling, access, networking and assurance scope for each deployment.
Underlying cloud and AI providers may maintain SOC 2 Type II and ISO 27001 certifications. Provider assurance, certification scope, GDPR-aligned data handling, residency, retention and networking are validated for the selected deployment. These provider certifications are not represented as certifications held directly by SBT Hospitality Partners.
The Production Pilot is designed to answer one question: does this workflow create enough operating value to justify wider deployment?
For a well-scoped use case, the pilot targets measurable proof of value in 4–8 weeks. Scope varies with integration complexity, data access and security requirements.
No. Existing operational platforms remain systems of record. SBT designs the workflow around approved interfaces and the customer’s current architecture.
Yes. Delivery can stop at architecture/prototype, continue through client-hosted deployment, transition after stabilization, or extend into co-managed or ongoing managed operation.
We establish the baseline before implementation and measure the agreed operating KPI, output quality, human intervention, adoption and runtime economics. The closing decision is to scale, modify or stop.