Singapore – October 13, 2026 -- PHAL has launched PHAL OS, which it describes as the world's first Total Hotel agentic AI solution, and has confirmed a third mandate from a Top 10 global hotel group that selected the Singapore firm for an initial proof of concept.
PHAL secures third client mandate within six months
The new client, a Top 10 global hotel group, remains confidential, as with PHAL's earlier engagements. PHAL's inaugural client, also a Top 10 global hotel group, has proved three projects and is scaling to further bespoke builds, with the first solutions ready for production.
A globally recognised luxury operator has signed a Letter of Intent and is progressing to its next steps. CEO and Founder Saurabh Prakash said that three of the world's most significant hotel groups have trusted PHAL within six months.
PHAL OS reads four Ps across six asset stages inside the operator's infrastructure
PHAL OS is a single agentic AI that reads an entire hotel across Performance, Profit, Preference and People, and across the full life of the asset. It runs inside the operator's own infrastructure.
The system covers six stages: deal feasibility and pre-opening, the daily total hotel performance review, forecasting and budgeting, CapEx and projects, owner alignment, and asset management. PHAL argues that a hotel rarely fails one function at a time and instead fails in the gaps between them.
PHAL estimates 200,000 hours a year lost to spreadsheets in a 100-hotel portfolio
By PHAL's own calculations, a hotel department head loses close to two hours a day to spreadsheets. Across four department heads, that totals some 200,000 hours a year in a 100-hotel portfolio. PHAL says its system returns that time to guest-facing work.
Patent-pending method traces every figure to its source
PHAL's method, patent pending in Singapore, traces every figure back to its source before it reaches a leader. The agents read and recommend, the group's own people decide, and nothing executes on its own.
Dave Roberts, faculty at the Nolan School of Hotel Administration at Cornell University, said he saw a demo and was impressed by its specific recommendations and comprehensive view of hotel operations.