Allocivo is a team of AI agents for hotel operations. It turns workforce availability into action, in real time.
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Allocivo · by Brightyard
Your hotel is always moving.
Your workforce decisions should too.Real-time workforce orchestration for hospitality. Here's the problem it solves, and how.
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The problem
Your systems record the work. Your team still connects the dots.
The PMS knows which rooms need attention. Attendance knows who arrived. Task tools hold the list. Nothing decides who should act next, so a supervisor does it by radio and WhatsApp.
PMSRoom 418Ready by 14:00AttendanceDanielOn shiftTask toolT-104Assigned to Danielno shared decisionSupervisor, floor 4Who's free on 4?
Is 418 done yet?
Front desk says 512 is here early -
The problem
Then the day changes.
Hotel operations are event-driven. Workforce allocation usually isn't. Every change lands on the same few people.
Demand changesEarly arrival for Room 512 at 12:30Priorities shift from the morning plan.Availability changesDaniel is running 25 minutes lateAbsences, breaks and workload change what the team can deliver.Work gets disconnectedRoom 206 is blocked by maintenanceHousekeeping can't finish until the repair is closed. -
The cost
Risk shows up when the deadline is already close.
Without a live view, nobody sees that Room 418 will miss its target until a guest is waiting at the desk.
12:30Early arrival for 51213:05Daniel running late13:40Supervisor finds out 418 isn't started14:00Room 418 target missed -
The solution
Allocivo's agents connect the signals and decide the next move.
They sit above the systems you already run, combine demand, availability and your operating rules, and decide who should do what next.
Demand: arrivals, room statusAvailability: who's on shiftContext: skills, workload, rulesRecommendationMove Room 418 to AshaFree now, qualified for room turns, already on floor 4. -
How it works
Sense. Understand. Decide. Adapt.
A continuous loop, with people in control at every step.
1 SenseBring in live signalsRoom status, arrivals, attendance and task status, from systems you already use.2 UnderstandRead the situationWorkload, skills, location, deadlines and dependencies.3 DecideRecommend the next actionWho should do what next, using your rules.4 AdaptRecalculate on changeWhen reality moves, the plan moves with it. -
In action
When the plan breaks, the next move is already on screen.
Daniel is late. Room 418 turns at risk. Allocivo proposes Asha, the supervisor approves, and the queue settles.
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Autonomy you set
Agents act where you allow them. Managers handle the exceptions.
Low-risk work moves automatically. Bigger changes wait for approval. Every action shows its reason.
AutomaticLow-risk reassignmentsApprovalModerate changesSign-offHigh-impact actionsWhy this assignment?Room 418 → Asha✓Ready-by deadline is 14:00✓Qualified for room turns✓Lowest current workload on shift✓Already on floor 4×Daniel: running 25 minutes lateApproveChangeDismiss -
Outcomes
Measured against your own baseline.
Results depend on each property's data and workflow. We track what changes; we don't promise numbers we haven't measured.
TrackPriority work completed within targetTrackRooms ready by target timeTrackTime from exception to actionTrackManager coordination effort -
Give your team a better way to decide what happens next.
Show us how your hotel works. We'll explore where better coordination could help.
Story uses illustrative demo data (Northstar Hotel is fictional).
Where the time and money come back.
Five levers, each tied to a number your hotel already tracks or can start tracking.
Estimate the value for your property
Enter your own numbers. The formulas come from our product model; the result is an estimate, not a promise.
Time freed is capacity your team can spend on guests, not automatic cash savings. Subtract Allocivo's cost for net value; we'll confirm it with a baseline from your property.
Check these numbers with usShow us how your hotel works.
Thirty minutes with our team. We'll explore where better coordination could help, and say so if it won't.