Build intelligent business applications with Microsoft AI Builder. Extract data from documents, detect objects, analyze sentiment, and create predictions without code.
By Errin O'Connor, Founder & Chief AI Architect, EPC Group
AI Builder is a Microsoft Power Platform capability that lets organizations add AI to apps and workflows without writing code. It includes prebuilt models for document processing, sentiment analysis, and object detection — plus custom models trained on your own data. EPC Group delivers AI Builder implementations for Fortune 500 companies and regulated industries.
AI Builder is a feature of the Microsoft Power Platform. It allows organizations to integrate AI into apps and workflows without needing to write code. AI Builder includes:
EPC Group provides AI Builder implementations for Fortune 500 companies and regulated industries.
AI Builder is a Microsoft Power Platform capability. It adds artificial intelligence to business applications and automated workflows — without writing code or needing data science expertise.
It offers two categories of models:
AI Builder uses a credit-based consumption model:
EPC Group delivers end-to-end AI Builder implementations:
AI Builder is a feature of the Microsoft Power Platform. It integrates machine learning into Power Apps and Power Automate. You do not need data science skills to use it.
AI Builder operates on a credit system. These credits are part of certain Power Apps and Power Automate plans.
Each model run uses a specific number of credits. This amount depends on the model type and its complexity.
AI Builder offers a visual interface for training, testing, and publishing models. This allows non-technical users, known as citizen developers, to create and deploy AI models easily.
The following features are available without the need for coding:
Yes, AI Builder can be configured properly for healthcare use. It operates on Azure infrastructure and supports HIPAA BAA. To handle PHI, you must use:
EPC Group ensures AI Builder is configured for HIPAA compliance in every healthcare engagement.
Microsoft recommends that you reach a confidence score of at least 80% before putting a custom model into production. The accuracy of the model depends on two main factors:
To enhance performance, consider the following:
EPC Group evaluates model performance scores prior to each production deployment.
EPC Group creates AI Builder solutions for Fortune 500 companies and regulated industries. Our team can help with your document processing or prediction needs.
Contact us to discuss your project:
AI Builder provides multiple AI model types to address different business scenarios, from document processing to predictive analytics.
Extract data from documents
Automatically extract text, tables, and key-value pairs from structured and unstructured documents including invoices, contracts, and forms.
Forecast outcomes with AI
Build predictive models using historical data to forecast sales, customer churn, inventory needs, and other business outcomes without writing code.
Identify objects in images
Train custom models to detect and count specific objects in images for quality control, inventory management, and visual inspection scenarios.
Extract text from images
Use optical character recognition to extract printed and handwritten text from images, scanned documents, and photographs.
Understand customer emotions
Analyze text to determine sentiment (positive, negative, neutral) for customer feedback, social media monitoring, and survey responses.
Digitize contact information
Automatically extract contact details from business cards including names, titles, phone numbers, emails, and addresses.
Automate expense tracking
Extract merchant, date, total, line items, and tax information from receipts for automated expense reporting and accounting.
Process IDs and passports
Extract information from identity documents including passports, driver licenses, and national IDs for verification workflows.
Choose from ready-to-use prebuilt models or train custom models on your specific business data.
Ready to use immediately
Best for: Standard invoices, receipts, business cards, sentiment analysis, and text recognition
Trained on your data
Best for: Custom forms, unique document layouts, industry-specific predictions, proprietary object detection
Extract key fields from invoices automatically
Process expense receipts and extract data
Digitize business cards instantly
Extract data from identity documents
Analyze text for positive/negative sentiment
Identify important phrases in text
Identify the language of text content
Extract text from images using OCR
AI Builder integrates natively with Power Apps, Power Automate, Power BI, and Copilot Studio to embed intelligence throughout your Microsoft ecosystem.
Embed AI Builder models directly in canvas and model-driven apps to process documents, analyze images, and make predictions within your business applications.
Trigger AI processing in automated workflows to handle document processing, sentiment analysis, and predictions without manual intervention.
Use AI Builder predictions in Power BI reports and dashboards to surface AI-driven insights and forecasts directly in your analytics.
Enhance chatbots and virtual agents with AI Builder capabilities to understand documents, extract information, and provide intelligent responses.
AI Builder uses a credit-based system. Choose the licensing option that fits your usage requirements.
5,000 AI Builder credits
1 million AI Builder credits
Seeded credits per user
| AI Model | Credit Usage |
|---|---|
| Document Processing (Invoice) | 1 credit per page |
| Document Processing (Receipt) | 1 credit per receipt |
| Business Card Reader | 1 credit per card |
| Object Detection | 1 credit per image |
| Text Recognition (OCR) | 1 credit per page |
| Sentiment Analysis | 1 credit per 1,000 characters |
| Prediction (Binary/Multi-class) | 1 credit per 1,000 predictions |
| Custom Model Training | Varies by data size and complexity |
AI Builder enables intelligent automation across regulated industries with built-in compliance capabilities.
Intelligent Financial Processing
Healthcare Document Intelligence
Manufacturing AI Solutions
Services Automation
Education AI Applications
Follow this step-by-step process to train and deploy custom AI models for your specific business needs.
Choose the AI model type based on your business problem. Select from document processing, object detection, or prediction models.
Gather sample documents, images, or historical data. Ensure data quality and variety to build accurate models.
Use the AI Builder interface to tag fields in documents, draw bounding boxes for objects, or map prediction outcomes.
Let AI Builder train on your tagged data. Training typically takes 15 minutes to several hours depending on complexity.
Review model performance scores. Test with new data to verify accuracy before production deployment.
Publish your model and integrate into Power Apps or Power Automate. Monitor performance and retrain as needed.
Follow these proven practices to maximize the accuracy and value of your AI Builder implementations.
Use diverse, high-quality samples that represent real-world variations. For document processing, include 5+ examples of each document type.
Define fields and labels clearly and consistently. Use standardized naming conventions across your organization.
Start with a baseline model, test thoroughly, and continuously improve by adding more training data and edge cases.
Implement proper data handling for sensitive information. Use Azure data residency options for compliance requirements.
Monitor credit consumption and optimize workflows. Use batch processing for high-volume scenarios to reduce costs.
Train end users on model limitations and expected accuracy. Implement human review for critical business processes.
EPC Group has Microsoft expertise in every AI Builder engagement since 1997. We assist Fortune 500 companies in various sectors, including:
Our focus is on deploying intelligent automation solutions that meet strict compliance requirements. We also ensure these solutions deliver measurable ROI.
Schedule a free AI Builder consultation with our experts. We will assess your document processing and automation needs. Our team will suggest the best AI models and create a roadmap for your intelligent automation journey.
Common questions about Microsoft AI Builder implementation and consulting.
AI Builder is a Microsoft Power Platform capability that enables organizations to add intelligence to apps and workflows without writing code. It provides prebuilt AI models for common scenarios like document processing, sentiment analysis, and business card reading, plus the ability to train custom models for object detection, prediction, and form processing. AI Builder integrates directly with Power Apps, Power Automate, and Power BI.
AI Builder pricing is based on AI Builder credits. The AI Builder add-on costs $500/month for 1 million credits. Credits are also included with Power Apps Premium and Power Automate Premium licenses (5,000 credits per user per month, pooled at the tenant level). Credit consumption varies by model: document processing uses 1 credit per page, object detection uses 1 credit per image, and predictions use 1 credit per 1,000 predictions.
Prebuilt models are ready-to-use AI models trained by Microsoft for common scenarios like invoice processing, receipt scanning, sentiment analysis, and business card reading. Custom models are trained on your specific data for scenarios like extracting fields from your unique forms, detecting specific objects in images, or predicting outcomes based on your historical data. Prebuilt models work immediately; custom models require 5+ training samples and training time.
Training custom AI Builder models involves: (1) Select your model type (document processing, object detection, or prediction), (2) Prepare 5+ representative samples of your data, (3) Use the visual tagging interface to label fields, draw bounding boxes, or map outcomes, (4) Click train and wait 15 minutes to several hours depending on complexity, (5) Review the performance score (aim for 80%+), (6) Test with new data and publish when satisfied. Models can be retrained anytime with additional data.
Yes. AI Builder document processing and text recognition support over 70 languages including English, Spanish, French, German, Chinese, Japanese, and Arabic. The prebuilt document models automatically detect the language and extract text accordingly. Custom document processing models can be trained on documents in any supported language. Language detection is available as a separate prebuilt model.
Yes. AI Builder inherits the compliance certifications of Microsoft Power Platform and Azure, including HIPAA BAA eligibility, SOC 1/2/3, ISO 27001, FedRAMP, and GDPR. For HIPAA compliance, organizations must sign a Business Associate Agreement (BAA) with Microsoft and implement appropriate access controls. Data processed by AI Builder remains within your Microsoft 365 tenant and Azure region.
AI Builder model accuracy varies by scenario. Prebuilt models typically achieve 90-95% accuracy on standard documents. Custom model accuracy depends on training data quality and quantity. Document processing models generally require 5+ samples per document type, with accuracy improving significantly with 20+ samples. Object detection models need 15+ tagged images per object. Performance scores are displayed after training, with 80%+ considered production-ready.
AI Builder credits are included with Power Apps Premium ($20/user/month) and Power Automate Premium ($15/user/month) licenses, providing 5,000 credits per user per month pooled at the tenant level. For higher volume needs, the AI Builder add-on ($500/month for 1 million credits) can supplement included credits. Power Apps for Microsoft 365 and Power Automate standard licenses do not include AI Builder credits.
Ready to automate document processing, build predictions, and add intelligence to your business applications? Contact EPC Group for expert AI Builder consulting.
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The NIST AI Risk Management Framework (AI RMF 1.0) will set the standard for US federal AI governance by 2026. This framework is also becoming essential for:
The four functions of the framework—Govern, Map, Measure, and Manage—align well with Microsoft products when implemented correctly:
The EPC Group's 47-control crosswalk connects each NIST AI RMF subcategory to specific Microsoft tenant settings.
vCAIO (Virtual Chief AI Officer) services have become the leading choice for organizations launching AI programs in 2026. The typical pricing structure is as follows:
The cost-effectiveness compared to a full-time CAIO, which ranges from $400K to $800K fully loaded, is significant for the first 6 to 18 months.
EPC Group covers this topic across the relevant engagement portfolio. Reach the firm at contact@epcgroup.net for a 30-minute architect conversation.
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