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Azure reference architecture

First-pass deliverable drafting

A Azure reference architecture for first-pass deliverable drafting in Professional Services. Triggered by new engagement kicked off, Padiso orchestrates 3 specialist agents on Azure AI Foundry, reaching document repository and your tools through the Model Context Protocol, with budgets, approvals and an audit trail throughout.

AzureRuntime: Azure AI Foundry

Trigger

New engagement kicked off

Professional Services

Orchestration

Padiso

Padiso Orchestrator

goals · tasks · heartbeat

Governance

budgets · approvals · audit

Runtime & agents

Agent runtime

Azure AI Foundry

Delivery agent

agent

Research agent

agent

Client ops agent

agent

Integrations · MCP

MCP gateway

notion
google-drive
slack
dropbox

Your systems

Document repository

Knowledge base

Project / PSA tool

How the data flows

Trigger: New engagement kicked off

  1. 1

    Delivery agent drafts the first-pass deliverable from the brief and prior work

  2. 2

    Research agent gathers benchmarks and supporting evidence

  3. 3

    Assembles a structured draft for the expert to refine

  4. 4

    Partner reviews before anything reaches the client

Agent team

  • Delivery agent
  • Research agent
  • Client ops agent

Integrations

notion
google-drive
slack
dropbox

Reached through the Model Context Protocol, scoped and governed.

Runtime & data

Azure AI Foundry

Document repository

Knowledge base

Project / PSA tool

Security & operational considerations

  • Client data isolated per engagement
  • Source citations on research
  • Human approval before client delivery

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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