Azure reference architectureProduction scheduling support
A Azure reference architecture for production scheduling support in Manufacturing. Triggered by production run scheduled or completed, Padiso orchestrates 3 specialist agents on Azure AI Foundry, reaching manufacturing execution system (mes) and your tools through the Model Context Protocol, with budgets, approvals and an audit trail throughout.
AzureRuntime: Azure AI FoundryTrigger
Production run scheduled or completed
Manufacturing
Orchestration
Padiso Orchestrator
goals · tasks · heartbeat
Governance
budgets · approvals · audit
Runtime & agents
Agent runtime
Azure AI Foundry
Procurement agent
agent
Planning agent
agent
Reporting agent
agent
Integrations · MCP
MCP gateway
Your systems
Manufacturing Execution System (MES)
ERP
Quality system
How the data flows
Trigger: Production run scheduled or completed
- 1
Planning agent checks capacity and flags scheduling conflicts
- 2
Reporting agent compiles production and quality metrics from the MES
- 3
It assembles the shift and quality report
- 4
Out-of-spec results escalate to the line manager
Agent team
- Procurement agent
- Planning agent
- Reporting agent
Integrations
Reached through the Model Context Protocol, scoped and governed.
Runtime & data
Azure AI Foundry
Manufacturing Execution System (MES)
ERP
Quality system
Security & operational considerations
- Read-only from shop-floor systems
- Approvals on schedule changes
- Traceability on quality data
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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