Ready-to-use AI models for common business scenarios like receipt processing, business card reading, text recognition, and sentiment analysis that require no training or machine learning expertise.
Visual interface for training custom AI models using your own data for classification, object detection, and form processing without writing code or understanding machine learning algorithms.
Drag-and-drop AI components that can be added directly to Power Apps canvas interfaces, allowing users to incorporate AI predictions, classifications, and processing within app user experiences.
Direct connectivity to Azure Cognitive Services and Azure Machine Learning for advanced scenarios, allowing professional developers to extend AI Builder capabilities with custom code and models.
Tight integration with Power Automate for creating AI-triggered workflows, allowing automated document processing, approval flows, and data enrichment based on AI predictions.
Finance departments use Power Apps AI to extract data from incoming invoices in various formats. The AI Builder's form processing model identifies vendor information, invoice numbers, dates, line items, and totals automatically. This eliminates manual data entry, reduces errors, and accelerates accounts payable processes. The extracted data flows directly into financial systems through Power Automate workflows.
Support teams implement AI classification models to automatically categorize incoming customer requests by urgency, product, or issue type. The AI analyzes ticket descriptions and routes them to appropriate teams or suggests knowledge base articles. This reduces manual triage time, ensures faster response to critical issues, and provides consistent categorization across support channels.
Retail store managers use object detection AI models with mobile Power Apps to monitor product placement and shelf compliance during store audits. Employees take photos of store shelves, and the AI identifies products, checks placement against planograms, and flags discrepancies. This ensures consistent merchandising and reduces audit time from hours to minutes.
Manufacturing and facilities teams build prediction models that analyze equipment sensor data to forecast maintenance needs. The AI identifies patterns indicating potential failures before they occur, automatically scheduling maintenance through connected systems. This prevents unplanned downtime and optimizes maintenance resource allocation based on actual equipment conditions.
Legal and procurement departments use document processing AI to extract key clauses, dates, parties, and obligations from contracts. The AI identifies standard and non-standard terms, flags potential risks, and populates contract management systems. This accelerates contract review cycles and ensures consistency in agreement analysis across the organization.
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