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Azure reference architecture

Support triage and resolution

A Azure reference architecture for support triage and resolution in SaaS & Tech. Triggered by support ticket created, Padiso orchestrates 3 specialist agents on Azure AI Foundry, reaching helpdesk (zendesk) and your tools through the Model Context Protocol, with budgets, approvals and an audit trail throughout.

AzureRuntime: Azure AI Foundry

Trigger

Support ticket created

SaaS & Tech

Orchestration

Padiso

Padiso Orchestrator

goals · tasks · heartbeat

Governance

budgets · approvals · audit

Runtime & agents

Agent runtime

Azure AI Foundry

Onboarding agent

agent

Support agent

agent

Lifecycle agent

agent

Integrations · MCP

MCP gateway

github
linear
slack
notion

Your systems

Helpdesk (Zendesk)

Product API

Knowledge base

How the data flows

Trigger: Support ticket created

  1. 1

    Triage agent classifies and routes the ticket and pulls account context

  2. 2

    Resolution agent answers tier-1 issues and runs routine actions

  3. 3

    Unresolved tickets escalate with a full context bundle

  4. 4

    Account-changing actions require human approval

Agent team

  • Onboarding agent
  • Support agent
  • Lifecycle agent

Integrations

github
linear
slack
notion

Reached through the Model Context Protocol, scoped and governed.

Runtime & data

Azure AI Foundry

Helpdesk (Zendesk)

Product API

Knowledge base

Security & operational considerations

  • PII redaction in logs
  • Approvals on refunds and account changes
  • Escalation SLA 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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