AI Builder explained

AI Builder is the no-code machine-learning capability inside the Power Platform. It exists to put trained ML models in the hands of makers — citizen developers, business analysts, power users — without needing data scientists, Python notebooks, or Azure ML knowledge. For Dynamics 365 customers, AI Builder is the cheap, fast way to add AI to a Power App or Power Automate flow without an enterprise data-science programme.

Pre-built models. Microsoft ships ready-to-use models for common business tasks:

• Form processing — extract structured data from invoices, receipts, IDs, and custom forms with a UI for training on samples.
• Object detection — locate and count objects in images (boxes, pallets, equipment).
• Sentiment analysis — score text for positive/negative/neutral tone across many languages.
• Key phrase extraction — pull out salient terms from text.
• Language detection — identify the language of a document.
• Text translation — translate between languages.
• Business card reader — extract name, title, email, phone from a card image.
• Receipt reader — extract structured line items from receipt photos.
• Text recognition (OCR) — extract printed and handwritten text from images.
• Category classification — classify text into a custom taxonomy.

Custom models. Beyond the pre-built set, AI Builder supports custom-trained models for prediction, category classification, entity extraction, and form processing. Training is point-and-click: provide labelled data from Dataverse or a file, the system trains, and reports accuracy. Re-training on a schedule keeps models current.

Where models run. Trained models live as AI Builder assets in an environment. They're invoked from:

• Power Automate flows — call the model as an action; pass inputs, receive outputs.
• Power Apps — invoke the model from a button or screen.
• Dataverse plug-ins — call from server-side logic.
• Direct APIs — for programmatic use.

Integration with Dynamics 365. Common use cases:

• Invoice automation — receipts and invoices arrive in a shared mailbox, AI Builder extracts data, a flow posts a draft vendor invoice in Business Central or F&O.
• Lead enrichment — AI Builder predictions enrich incoming leads with a quality score.
• Customer feedback — sentiment analysis on case descriptions, with auto-prioritisation.
• Inspection — object detection during field service inspections flags missing or defective components.

Limits. AI Builder is not a substitute for Azure ML or Azure OpenAI for sophisticated requirements. Models are limited in size, training data, and customisation; very high-volume scenarios may incur cost concerns. For most no-code AI scenarios in Dynamics 365 workflows, it's the right tool.

Licensing. AI Builder credits are sold separately or bundled with some Power Platform licences. Track credit consumption — it's the most common AI Builder budget surprise.