Azure reference architectureReservation management and upsells
A Azure reference architecture for reservation management and upsells in Hospitality. Triggered by new booking or rate change across channels, Padiso orchestrates 3 specialist agents on Azure AI Foundry, reaching channel manager / ota sync and your tools through the Model Context Protocol, with budgets, approvals and an audit trail throughout.
AzureRuntime: Azure AI FoundryTrigger
New booking or rate change across channels
Hospitality
Orchestration
Padiso Orchestrator
goals · tasks · heartbeat
Governance
budgets · approvals · audit
Runtime & agents
Agent runtime
Azure AI Foundry
Concierge agent
agent
Reservations agent
agent
Operations agent
agent
Integrations · MCP
MCP gateway
Your systems
Channel manager / OTA sync
Property Management System (PMS)
Revenue management
How the data flows
Trigger: New booking or rate change across channels
- 1
Reservations agent normalizes the booking and checks for overbooking or rate parity issues
- 2
It syncs availability across the channel manager and OTAs
- 3
Upsell agent offers relevant add-ons within pricing rules
- 4
Conflicts (double-books, parity breaks) are flagged for the revenue team
Agent team
- Concierge agent
- Reservations agent
- Operations agent
Integrations
Reached through the Model Context Protocol, scoped and governed.
Runtime & data
Azure AI Foundry
Channel manager / OTA sync
Property Management System (PMS)
Revenue management
Security & operational considerations
- Idempotent sync to avoid double-booking under load
- Rate-parity rules enforced per channel
- Approvals on overrides beyond set thresholds
Azure deployment
Deployed in your Azure tenant on AI Foundry, with Entra ID scoping, Private Endpoints into your VNet, and Azure Monitor for audit and observability.
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