Azure AI Foundry Make integrationAutomate Azure AI Foundry with Make.
Put the models of your Azure AI Foundry project to work inside everyday workflows, without writing code. The Azure AI Foundry Make integration offers 4 action modules. This guide is for teams that already run a Foundry project: it connects your key and walks you through a first scenario.
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What does the Azure AI Foundry Make integration do?
The Azure AI Foundry Make integration lets a Make scenario, the automation you build as a chain of modules, send text or documents to your Foundry project and use the answer in the next step. It has no trigger of its own, so another app or a schedule starts the flow, and Azure AI Foundry does the thinking in the middle.
Sort incoming requests before anyone reads them. A support form lands in another app, Create a Chat Completion (Azure AI) classifies the text, and the next module routes it to the right queue. Nobody triages by hand anymore.
Turn documents into data. A supplier file arrives, Analyze documents and get results reads it, and a chat completion extracts the pieces your finance team cares about. The results can then feed a table such as the one described on the Airtable Make integration page.
Summarize long text for a sales rep. Notes from a call go through Create a Chat Completion (Azure OpenAI) and come out as a short recap ready to post.
What Make does not give you here: no trigger, and only 4 listed modules. Make an API Call reaches the rest of the API with the same connection. Make's own documentation for this app also warns that it was generated with AI and may contain mistakes, so check anything important against the Azure documentation. If you are weighing another tool, the n8n vs Make comparison lays out the criteria, and the Make pricing page explains how operations are counted on each plan.
How do you connect Azure AI Foundry to Make?
- 01
Collect your endpoint and key
Open the Azure AI Foundry portal and pick your project. The endpoint URL sits in the Azure AI Services endpoint section of the Overview or Libraries page. The API key lives under Settings, in Keys and endpoints or Manage keys.
- 02
Add a module and create the connection
In your scenario, add any Azure AI Foundry module and click Create a connection. A connection is your Foundry account linked to Make once, then reused by every module of the app. The Connection name field is optional.
- 03
Paste the credentials and save
Paste the endpoint and the API key you copied, or follow the instructions Make shows on screen. Once saved, the connection appears in the module and you can fill in the rest of its fields.
Your first scenario with Azure AI Foundry
GoalWhen a new document shows up in another app, Azure AI Foundry analyzes it and a chat completion writes a short summary.
- 01
Create the scenario
From the Scenarios page, create a new scenario and click the +. Pick the app that receives your documents as the first module, since Azure AI Foundry has no trigger.
- 02
Add the analysis
Click the + on the right, search Azure AI Foundry and choose Analyze documents and get results. Create the connection with your endpoint and key, then map the document from the first module.
- 03
Ask for a summary
Add Create a Chat Completion (Azure AI) after it. Map the analysis results into the message so the model summarizes what the document says in a few lines.
- 04
Test with Run once
Click Run once. Make executes the scenario a single time and shows the bundles, the items passed from one module to the next, so you can read the summary.
- 05
Schedule and switch it on
Open the clock on the first module. A new scenario runs every 15 minutes by default; keep that or change it, then switch the scenario on.
What each Azure AI Foundry module does
Azure AI Foundry gives you 4 modules. For each one: what it does for you, when to reach for it, and what to watch out for.
Analyze documents and get results
ActionIn Make“Analyze documents and get results.”
Hands a document to your Foundry project and brings back the analysis, so the rest of the scenario can work with what the file contains instead of the raw file.
Create a Chat Completion (Azure AI)
ActionIn Make“Extract Information Classify Text Summarize Text”
Sends a message to a model through Azure AI and returns its reply, which lets you extract information, classify text or summarize it in the middle of a flow.
Create a Chat Completion (Azure OpenAI)
ActionIn Make“Extract Information Classify Text Summarize Text”
Does the same kind of job through Azure OpenAI: your text goes in, the model's answer comes out, ready to be mapped into the following module.
Make an API Call
ActionIn Make“Performs an arbitrary authorized API call.”
Reaches any endpoint of the Azure AI Foundry API with the connection you already created, which covers everything the three dedicated modules leave out.
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