Implement AI models with Microsoft Power Platform AI Builder: Review

The guided project—'Create document process model and email approval'—is where this finally clicked. Before that, it was a tour of buttons and screens. You click 'AI Builder,' pick 'Document Processing,' and feed it five sample invoices. Then you tag the fields: here's the vendor name, here's the total. It felt like filling out a form, not like 'building an AI model.'

But then you connect it to Power Automate. Suddenly, an email lands in your inbox with an attachment, a flow kicks off automatically, the AI Builder model reads the invoice, and a Teams message pops up asking for approval if the total is over $1,000. That's the mental model I needed. It's not about training a neural network; it's about connecting intelligent LEGO bricks to automate a tedious business process.

My team talks about 'operationalizing AI,' and this path is the most concrete example I've seen. The rest of the modules just explain the different types of bricks: text recognition for scanning shipping container numbers, prediction for guessing customer churn. It's all very… functional. It doesn’t explain what a 'gradient boosting model' is, and frankly, it doesn't need to. It just shows you a pre-built block that does the job. My only real complaint is how all-in you have to be on the Microsoft universe for this to make sense. It’s Power Apps this, Dataverse that. If your company runs on Google Workspace and Salesforce, this is just a confusing trip to a foreign country.