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Azure reference architecture

Exception resolution

A Azure reference architecture for exception resolution in Logistics. Triggered by customer or partner requests status, Padiso orchestrates 3 specialist agents on Azure AI Foundry, reaching transportation management system (tms) and your tools through the Model Context Protocol, with budgets, approvals and an audit trail throughout.

AzureRuntime: Azure AI Foundry

Trigger

Customer or partner requests status

Logistics

Orchestration

Padiso

Padiso Orchestrator

goals · tasks · heartbeat

Governance

budgets · approvals · audit

Runtime & agents

Agent runtime

Azure AI Foundry

Tracking agent

agent

Exception agent

agent

Comms agent

agent

Integrations · MCP

MCP gateway

salesforce
airtable
slack
zapier

Your systems

Transportation Management System (TMS)

Customer CRM

Carrier feeds

How the data flows

Trigger: Customer or partner requests status

  1. 1

    Comms agent assembles the latest status from the TMS and carrier feeds

  2. 2

    It sends a proactive update across the right channel

  3. 3

    Logs the interaction against the shipment

  4. 4

    Disputes or claims are routed to a human

Agent team

  • Tracking agent
  • Exception agent
  • Comms agent

Integrations

salesforce
airtable
slack
zapier

Reached through the Model Context Protocol, scoped and governed.

Runtime & data

Azure AI Foundry

Transportation Management System (TMS)

Customer CRM

Carrier feeds

Security & operational considerations

  • Single source of truth from the TMS
  • Rate-limited outbound comms
  • Escalation on disputes

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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