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Azure reference architecture

Ticket triage and routing

A Azure reference architecture for ticket triage and routing in Customer Support. Triggered by inbound ticket created, Padiso orchestrates 3 specialist agents on Azure AI Foundry, reaching helpdesk (zendesk / intercom) and your tools through the Model Context Protocol, with budgets, approvals and an audit trail throughout.

AzureRuntime: Azure AI Foundry

Trigger

Inbound ticket created

Customer Support

Orchestration

Padiso

Padiso Orchestrator

goals · tasks · heartbeat

Governance

budgets · approvals · audit

Runtime & agents

Agent runtime

Azure AI Foundry

Triage agent

agent

Resolution agent

agent

Escalation agent

agent

Integrations · MCP

MCP gateway

slack
salesforce
notion
zapier

Your systems

Helpdesk (Zendesk / Intercom)

CRM

Knowledge base

How the data flows

Trigger: Inbound ticket created

  1. 1

    Triage agent classifies, prioritizes and routes the ticket with account context

  2. 2

    Resolution agent answers common issues and runs routine actions

  3. 3

    Hard cases escalate with a full context bundle and suggested next steps

  4. 4

    Sensitive actions (refunds, account changes) require approval

Agent team

  • Triage agent
  • Resolution agent
  • Escalation agent

Integrations

slack
salesforce
notion
zapier

Reached through the Model Context Protocol, scoped and governed.

Runtime & data

Azure AI Foundry

Helpdesk (Zendesk / Intercom)

CRM

Knowledge base

Security & operational considerations

  • PII redaction in transcripts and logs
  • Approvals on refunds and account changes
  • Escalation SLAs enforced

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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