Selecting Azure AI Tools for Intelligent Document Processing

Microsoft just removed 5,000 free AI Builder credits from Power Automate Premium. Starting November 1, 2025, every document you process with AI Builder costs real money, while Azure AI gives you 500 pages/month for free. Let me break down what just happened: What Power Automate Premium users lose: Before Nov 1: 5,000 FREE AI Builder credits/user/month After Nov 1: ❌ 0 free credits (completely removed) What Azure AI offers instead: ✅ 500 pages/month FREE forever ✅ No credit system—just pay-per-page ✅ Same Prebuilt Models (Invoice, Receipt, ID) The new cost reality: → AI Builder: $0.064/page (8 Copilot Credits × $0.008) → Azure AI Prebuilt: $0.01/page → Azure AI Free Tier: 500 pages/month included Real-world scenario: Small business (500 pages/month) Power Automate Premium + AI Builder (new): 500 pages × $0.064 = $32/month ($384/year) Free credits: ❌ None Azure AI Document Intelligence: 500 pages covered by FREE tier = $0/month Free tier: ✅ 500 pages/month always included Larger volume example (1,500 pages/month): AI Builder: $96/month ($1,152/year) Azure AI: $15/month ($180/year) Savings: $972/year (84% cheaper) 3-Step Decision Framework: Step 1: Evaluate Your Volume → Check AI Builder Activity Report in Power Platform Admin Center → If you're under 500 pages/month: Azure AI Free Tier covers you at $0 → If you're over 500 pages/month: Azure AI is still 6.4× cheaper Step 2: Test Azure AI → Free Tier: 500 pages/month (no credit card needed for testing) → Same models: Invoice, Receipt, ID, Business Card processing → Power Automate integration: Use Custom Connector or HTTP calls Step 3: Migrate Before Overage → Dual Mode gives you time if you have AI Builder credits left → At overage, system switches to expensive Copilot Credits immediately → Plan migration now, execute before credits run out The brutal truth: Microsoft removed free AI Builder credits and raised prices by 25× (from $0.0025 to $0.064 per page). Meanwhile, Azure AI still offers 500 pages/month free and charges $0.01/page after that. For small businesses using Power Automate Premium's former free credits: You now pay $384/year for what Azure AI gives you for free. Community validation: Matthew Devaney / Marcel Broschk are you seeing the same numbers? How are you advising clients about this change? 📥 Save this post for your cost analysis. Sources (verified October 5, 2025, 11:13 PM CEST): - Microsoft Learn: Dual Mode Licensing (Sept 26, 2025) - Microsoft Learn: AI Builder Credit Management (Sept 30, 2025) - Copilot Studio Licensing Guide (Oct 2025) - Azure AI Document Intelligence Pricing (Oct 5, 2025) Disclaimer: Azure AI prices remain stable per Microsoft (no changes announced for November). Power Automate Premium base price unchanged, only the included AI Builder credits were removed. #PowerPlatform #AzureAI #AIBuilder #DocumentIntelligence #Migration

I used to say that AI Builder has an advantage over Azure AI Document Intelligence, because it is easier to set up. That, and the fact that there were seeded AI Builder credits included in paid Power Platform licenses, making it possible to use AI Builder to an extent without extra cost. But with Azure AI Document Intelligence being cheaper beyond seeded licenses, and now that seeded licenses are anyway going away, the main advantage was always the ease of use. It was the fact that AI Builder was native in the product, did not require an Azure subscription, and that it had all those pre-build models, as well as the very easy no-code way to train a custom model. But the truth is that Azure AI Document Intelligence isn't really much harder to set up. It does have both custom and pre-built models, and while you might be inclined to train a custom one (especially considering using them doesn't really cost more, unlike in AI Builder), but pre-built models also work great. Even for documents other than invoices or receipts. And then one more thing I really find cool is that it is actually available in Desktop flows, unlike AI Builder. So, the one real barrier of entry into Azure AI Document Intelligence is the fact it resides in Azure, instead of Power Automate natively. It means we need an Azure subscription, we need RBAC in Azure for the developer/SME responsible for training the model, we might need Azure storage for custom model training data, and any consumption analytics will also reside in Azure. This may sound scary to those not used to Azure - both developers and organizations. And also - Azure admins, when they realize they need to let Power Automate developers into their realm. But now with AI Builder losing the charm of seeded licenses, and with its consumption cost increasing due to how MCS credits are priced, I wonder if the fear of stepping out of their comfort zone and into Azure will really be enough for organizations to continue using AI Builder. I personally don't think so. And I already know several customers of my own who will switch to Azure by the time AI Builder credits are completely gone. Can't blame them - this is really the way to go.

🚀 Proof of Concept: AI-Powered Invoice Processing in Salesforce I recently built a PoC that lets Salesforce users send invoice PDFs to Azure Document Intelligence, extracts all the key data via REST APIs, and shows the result back in Salesforce in JSON. This solves a common pain point: manual invoice entry by service center agents. Instead of typing details from every PDF, they now get parsed, verified data—instantly. ⚙️ Why Azure? - Minimal infra (compared to AWS Textract) - Powerful out-of-the-box invoice models - REST APIs ready to use - Enterprise friendly for teams already on Azure Check out the blog post here to see how it works 👉 https://lnkd.in/gCApk69A #Salesforce #AzureAI #DocumentIntelligence #Automation #PoC #AIinAction

📌 Azure serverless automated document classification and processing using AI services. In the era of AI, data processing is a key element, especially that most enterprise data is private. ✅ Based on the Microsoft Azure Architecture Center pattern for document classification automation, this architecture allows you to deploy a comprehensive Azure architecture for automated document classification and processing using Azure AI services, with Terraform. 👉 You can use it as is (it is tested and ready to be deployed) or as an inspiration for your own architecture. 🏛️ Architecture Overview The solution implements a serverless document processing pipeline that: - Ingests documents through a web application - Stores documents in Azure Blob Storage - Triggers processing via Azure Service Bus messaging - Orchestrates document processing using Azure Durable Functions - Analyzes documents with Azure AI Document Intelligence - Stores metadata in Azure Cosmos DB - Creates embeddings and indexes in Azure AI Search - Enables natural language interaction via Azure OpenAI 👉 You can clone this architecture here: https://lnkd.in/eGeKCuPZ It has a full read me file with all instructions on how the components work, connectivity between them and the workflow sequences. 🚀 Your production infrastructure needs a production grade solution. #azure #data #document #ai #brainboard #serverless