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🚀 One-Click Azure Setup

Deploy your AI agent infrastructure in minutes

Step 1: Deploy to Azure (1 minute)

Click the button below to automatically deploy all required Azure resources including Azure OpenAI, Function App, and Storage.

Deploy to Azure

Step 2: Test Your Endpoint

After deployment completes, you'll see "Your deployment is complete" ✅

1. Click "Outputs" Tab

Click Outputs Tab

Find the "Outputs" tab in the left sidebar

2. Copy Your Endpoint URL

Copy Endpoint URL

Copy the functionEndpoint value

Test Your Endpoint:

curl -X POST [YOUR_FUNCTION_URL] \
  -H "Content-Type: application/json" \
  -d '{"action": "test", "agent": "basic_agent"}'

Step 3: Connect to Microsoft 365 Copilot (Optional)

Deploy your AI agents directly into Microsoft Teams and M365 Copilot using our pre-configured Power Platform solution.

📦 Download Power Platform Solution

Step 4: Choose Your Agent Stack

Browse our template library to select and deploy agent stacks for your specific use cases.

🏗️ Solution Architecture

graph TB
    subgraph "User Interface Layer"
        M365[Microsoft 365 Copilot]
        Teams[Microsoft Teams]
        Web[Web Interface]
    end
    
    subgraph "Conversation Layer"
        CS[Copilot Studio
• Natural Language Processing
• Conversation Management
• User Authentication]
    end
    
    subgraph "Integration Layer"
        PA[Power Automate
• User Context - Office 365
• Data Transformation
• Error Handling]
    end
    
    subgraph "Processing Layer"
        AF[Azure Function
• Agent Selection & Routing
• Memory Management
• Azure OpenAI Integration]
    end
    
    subgraph "Agent Layer"
        CRM[CRM Agents
Dynamics/Salesforce]
        DOC[Document Agents
SharePoint/OneDrive]
        EMAIL[Email Agents
Outlook Integration]
        CAL[Calendar Agents
Meeting Management]
        CUSTOM[Custom Agents
Business Logic]
    end
    
    subgraph "Data Layer"
        Storage[(Azure Storage
Agent Memory)]
        OpenAI[Azure OpenAI
GPT-4o]
        CRMData[(CRM Systems
Business Data)]
    end
    
    M365 --> CS
    Teams --> CS
    Web --> CS
    CS --> PA
    PA --> AF
    AF --> CRM
    AF --> DOC
    AF --> EMAIL
    AF --> CAL
    AF --> CUSTOM
    AF <--> Storage
    AF <--> OpenAI
    CRM <--> CRMData
    DOC <--> Storage
    EMAIL <--> Storage
    
    classDef userInterface fill:#eff6ff,stroke:#3b82f6,stroke-width:2px
    classDef conversation fill:#f3e8ff,stroke:#9333ea,stroke-width:2px
    classDef integration fill:#fef3c7,stroke:#f59e0b,stroke-width:2px
    classDef processing fill:#dcfce7,stroke:#22c55e,stroke-width:2px
    classDef agents fill:#fce7f3,stroke:#ec4899,stroke-width:2px
    classDef data fill:#e0e7ff,stroke:#6366f1,stroke-width:2px
    
    class M365,Teams,Web userInterface
    class CS conversation
    class PA integration
    class AF processing
    class CRM,DOC,EMAIL,CAL,CUSTOM agents
    class Storage,OpenAI,CRMData data
User Interface

Microsoft Teams, M365 Copilot, or custom web interface

Conversation Layer

Copilot Studio manages conversations and NLU

Integration Layer

Power Automate connects systems securely

Processing Layer

Azure Functions execute agent logic

📚 Resources & Documentation

📖 GitHub Repository

Source code and documentation

 ⚡ Azure Functions Docs

Learn about serverless computing

 🧠 Azure OpenAI Docs

AI model documentation

🔧 What Gets Deployed

Azure OpenAI

GPT-4o model deployment

Function App

Serverless compute

Storage Account

Agent memory & files

App Insights

Monitoring & analytics

💰 Estimated Cost: ~$5-10/month base + OpenAI usage (~$0.01 per 1K tokens)
❓ Troubleshooting & FAQ
Deployment fails with "quota exceeded"

Try a different region or request a quota increase in Azure Portal

Function returns 401 Unauthorized

Make sure you're using the function key from the Azure Portal

How do I add custom agents?

Deploy agent code to your Function App via GitHub Actions or Azure DevOps

Microsoft AI Accelerate

🚀 Agentic Template Library

🏢 Select Your Industry

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AI Use Case Discovery Tool

Identify High-Impact AI Opportunities

1

Business Overview

Let's understand your business context to identify AI opportunities.

2

Process Identification

Select the key processes you'd like to optimize with AI.

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