Power Platform AI Builder Services
Build intelligent business applications with Microsoft AI Builder. Extract data from documents, detect objects, analyze sentiment, and create predictions without code.
Last updated 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.
Key Facts
- AI Builder is part of Microsoft Power Platform — alongside Power Apps, Power Automate, and Power BI.
- Prebuilt models work immediately: invoice processing, business card reading, receipt scanning, sentiment analysis.
- Custom models require 5+ training samples and a visual tagging interface — no coding needed.
- AI Builder credits are consumed per model run. They are included in certain Power Apps and Power Automate plans.
- EPC Group has Microsoft consulting experience since 1997 and core Microsoft Solutions Partner designations.
Table of Contents
What is Microsoft AI Builder?
Power Platform AI Builder Services
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:
- Prebuilt models for document processing
- Sentiment analysis
- Object detection
- Custom models trained on your own data
EPC Group provides AI Builder implementations for Fortune 500 companies and regulated industries.
What is Microsoft AI Builder?
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:
- Prebuilt models — work immediately for common scenarios like invoice processing and sentiment analysis.
- Custom models — you train on your own data for specific business requirements like object detection or prediction.
AI Builder model types
Prebuilt models (ready to use)
- Document processing — extract fields from invoices, purchase orders, and tax forms.
- Business card reader — parse contact details from scanned cards.
- Receipt processing — extract line items and totals from receipts.
- Text recognition (OCR) — read printed and handwritten text from images.
- Sentiment analysis — classify text as positive, negative, or neutral.
- Entity extraction — pull names, dates, and amounts from unstructured text.
- Key phrase extraction — identify key topics and phrases in documents.
- Object detection — identify items in images for quality control or inventory.
Custom models (trained on your data)
- Custom document processing — train on your specific form layouts.
- Custom prediction — predict outcomes using your historical data (churn, approval, fraud).
- Custom object detection — detect specific objects in images using labeled training data.
How to train a custom AI Builder model
- Select your model type: document processing, object detection, or prediction.
- Prepare 5+ representative samples of your data.
- Use the visual tagging interface to label fields, draw bounding boxes, or map outcomes.
- Click Train and wait 15 minutes to several hours (depending on complexity).
- Review the performance score — aim for 80%+.
- Test with new data and publish when satisfied.
AI Builder use cases by department
Finance and accounts payable
- Automate invoice processing — extract vendor, amount, and PO number from any invoice format.
- Flag exceptions for human review. Route approvals via Power Automate.
- Typical result: 70–80% reduction in manual data entry time.
HR and onboarding
- Extract data from resumes and application forms automatically.
- Analyze sentiment in employee survey responses.
- Predict flight-risk scores using historical HR data with the prediction model.
Operations and quality control
- Object detection identifies defects on production lines from camera images.
- Receipt and form processing cuts paperwork in field operations.
- Prediction models flag maintenance needs before failures occur.
Customer service
- Sentiment analysis classifies incoming support tickets automatically.
- Entity extraction pulls key details from complaint emails for routing.
- AI-powered chatbots via Copilot Studio use AI Builder models for document understanding.
AI Builder licensing and credits
AI Builder uses a credit-based consumption model:
- AI Builder credits are included in Power Apps per-app and per-user plans.
- Additional credits: the capacity add-on, which Microsoft lists at $500 per month for 1 million credits (Microsoft, 2026).
- Prebuilt model runs consume fewer credits than custom model runs.
- Enterprise agreements often bundle AI Builder credits — check your EA terms.
EPC Group AI Builder services
EPC Group delivers end-to-end AI Builder implementations:
- Use-case discovery and model selection workshops.
- Custom model training and performance validation.
- Power Automate flow integration with AI Builder outputs.
- Power Apps UI development consuming AI Builder predictions.
- Compliance design for HIPAA, SOC 2, and regulated environments.
- Ongoing monitoring and model retraining as data patterns shift.
Frequently asked questions
What is AI Builder in Power Platform?
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.
- Includes prebuilt models for common tasks.
- Allows you to train custom models using your own data.
How much does AI Builder cost?
AI Builder operates on a credit system. These credits are part of certain Power Apps and Power Automate plans.
- You can purchase extra capacity packs at the Microsoft list price above.
- Each pack provides 1 million credits.
Each model run uses a specific number of credits. This amount depends on the model type and its complexity.
Do you need to code to use AI Builder?
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:
- Power Automate connectors
- Power Apps connectors
Can AI Builder handle HIPAA-regulated data?
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:
- Encrypted data pipelines
- Proper sensitivity labels
- Access controls
EPC Group ensures AI Builder is configured for HIPAA compliance in every healthcare engagement.
How accurate are AI Builder custom models?
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:
- The quality of the training data
- The quantity of the training data
To enhance performance, consider the following:
- Use diverse training samples.
- Ensure samples are representative of the data you expect in production.
EPC Group evaluates model performance scores prior to each production deployment.
Schedule a consultation
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 Model Types
AI Builder provides multiple AI model types to address different business scenarios, from document processing to predictive analytics.
Document Processing
Extract data from documents
Automatically extract text, tables, and key-value pairs from structured and unstructured documents including invoices, contracts, and forms.
Prediction Models
Forecast outcomes with AI
Build predictive models using historical data to forecast sales, customer churn, inventory needs, and other business outcomes without writing code.
Object Detection
Identify objects in images
Train custom models to detect and count specific objects in images for quality control, inventory management, and visual inspection scenarios.
Text Recognition (OCR)
Extract text from images
Use optical character recognition to extract printed and handwritten text from images, scanned documents, and photographs.
Sentiment Analysis
Understand customer emotions
Analyze text to determine sentiment (positive, negative, neutral) for customer feedback, social media monitoring, and survey responses.
Business Card Reader
Digitize contact information
Automatically extract contact details from business cards including names, titles, phone numbers, emails, and addresses.
Receipt Processing
Automate expense tracking
Extract merchant, date, total, line items, and tax information from receipts for automated expense reporting and accounting.
Identity Document Reader
Process IDs and passports
Extract information from identity documents including passports, driver licenses, and national IDs for verification workflows.
Prebuilt vs Custom AI Builder Models
Choose from ready-to-use prebuilt models or train custom models on your specific business data.
Prebuilt Models
Ready to use immediately
- No training required - works out of the box
- Optimized by Microsoft for common scenarios
- Continuously improved with new data
- Ideal for standard documents and formats
Best for: Standard invoices, receipts, business cards, sentiment analysis, and text recognition
Custom Models
Trained on your data
- Train on your specific documents and data
- Extract custom fields unique to your business
- Detect specific objects in your images
- Build predictions based on your historical data
Best for: Custom forms, unique document layouts, industry-specific predictions, proprietary object detection
Available Prebuilt Models
Invoice Processing
Extract key fields from invoices automatically
Receipt Processing
Process expense receipts and extract data
Business Card Reader
Digitize business cards instantly
ID Document Reader
Extract data from identity documents
Sentiment Analysis
Analyze text for positive/negative sentiment
Key Phrase Extraction
Identify important phrases in text
Language Detection
Identify the language of text content
Text Recognition
Extract text from images using OCR
AI Builder Power Platform Integration
AI Builder integrates natively with Power Apps, Power Automate, Power BI, and Copilot Studio to embed intelligence throughout your Microsoft ecosystem.
Power Apps
Embed AI Builder models directly in canvas and model-driven apps to process documents, analyze images, and make predictions within your business applications.
- Form recognizer component
- Business card scanner
- Object detector control
- Prediction outputs in apps
- Real-time processing
Power Automate
Trigger AI processing in automated workflows to handle document processing, sentiment analysis, and predictions without manual intervention.
- Document processing triggers
- Scheduled AI predictions
- Approval workflows with AI
- Email sentiment routing
- Batch processing flows
Power BI
Use AI Builder predictions in Power BI reports and dashboards to surface AI-driven insights and forecasts directly in your analytics.
- Embedded predictions
- Sentiment visualizations
- AI-powered forecasting
- Text analytics integration
- Custom AI visuals
Copilot Studio
Enhance chatbots and virtual agents with AI Builder capabilities to understand documents, extract information, and provide intelligent responses.
- Document understanding
- Entity extraction
- Intent recognition
- Intelligent routing
- Contextual responses
AI Builder Credits & Licensing
AI Builder uses a credit-based system. Choose the licensing option that fits your usage requirements.
AI Builder Trial
5,000 AI Builder credits
- Full access to all AI models
- Create custom models
- Test in Power Apps & Power Automate
- Limited production use
AI Builder Add-on
1 million AI Builder credits
- Full production use
- All prebuilt models
- Custom model training
- Priority processing
- Enterprise support
Included with Premium
Seeded credits per user
- Power Apps Premium license
- Power Automate Premium license
- 5,000 credits/user/month pooled
- Basic production scenarios
AI Builder Credit Consumption
| 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 Use Cases by Industry
AI Builder enables intelligent automation across regulated industries with built-in compliance capabilities.
Financial Services
SOC 2Intelligent Financial Processing
- Automated invoice processing and AP automation
- Loan application document extraction
- Check and payment processing
- Customer sentiment analysis
- Fraud risk prediction models
- KYC document verification
Healthcare
HIPAAHealthcare Document Intelligence
- Medical form processing
- Patient intake automation
- Insurance claim extraction
- Prescription document processing
- Patient satisfaction analysis
- Appointment no-show prediction
Manufacturing
ISO 27001Manufacturing AI Solutions
- Quality inspection with object detection
- Defect identification automation
- Shipping document processing
- Inventory level prediction
- Maintenance failure prediction
- Safety compliance monitoring
Professional Services
GDPRServices Automation
- Contract data extraction
- Proposal document processing
- Expense receipt automation
- Client sentiment tracking
- Project success prediction
- Resource demand forecasting
Education
FERPAEducation AI Applications
- Student form processing
- Application document extraction
- Transcript data capture
- Student success prediction
- Enrollment forecasting
- Feedback sentiment analysis
Training Custom AI Builder Models
Follow this step-by-step process to train and deploy custom AI models for your specific business needs.
Define Your Model
Choose the AI model type based on your business problem. Select from document processing, object detection, or prediction models.
Prepare Training Data
Gather sample documents, images, or historical data. Ensure data quality and variety to build accurate models.
Tag and Label Data
Use the AI Builder interface to tag fields in documents, draw bounding boxes for objects, or map prediction outcomes.
Train the Model
Let AI Builder train on your tagged data. Training typically takes 15 minutes to several hours depending on complexity.
Test and Validate
Review model performance scores. Test with new data to verify accuracy before production deployment.
Deploy and Monitor
Publish your model and integrate into Power Apps or Power Automate. Monitor performance and retrain as needed.
AI Builder Best Practices
Follow these proven practices to maximize the accuracy and value of your AI Builder implementations.
Quality Training Data
Use diverse, high-quality samples that represent real-world variations. For document processing, include 5+ examples of each document type.
Clear Field Definitions
Define fields and labels clearly and consistently. Use standardized naming conventions across your organization.
Iterative Improvement
Start with a baseline model, test thoroughly, and continuously improve by adding more training data and edge cases.
Data Governance
Implement proper data handling for sensitive information. Use Azure data residency options for compliance requirements.
Performance Optimization
Monitor credit consumption and optimize workflows. Use batch processing for high-volume scenarios to reduce costs.
User Training
Train end users on model limitations and expected accuracy. Implement human review for critical business processes.
Your AI Builder Implementation Partner
EPC Group has Microsoft expertise in every AI Builder engagement since 1997. We assist Fortune 500 companies in various sectors, including:
- Healthcare
- Finance
- Manufacturing
Our focus is on deploying intelligent automation solutions that meet strict compliance requirements. We also ensure these solutions deliver measurable ROI.
Ready to Get Started?
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.
Frequently Asked Questions
Common questions about Microsoft AI Builder implementation and consulting.
What is AI Builder in Microsoft Power Platform?
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.
How much does AI Builder cost?
AI Builder pricing is based on AI Builder credits. Microsoft lists the AI Builder capacity add-on at $500 per month for 1 million credits (Microsoft, 2026). 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.
What is the difference between prebuilt and custom AI Builder models?
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.
How do I train a custom AI Builder model?
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.
Can AI Builder process documents in multiple languages?
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.
Is AI Builder HIPAA and SOC 2 compliant?
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 is handled in the region of your Power Platform environment; confirm the processing region for each AI feature you enable.
How accurate are AI Builder models?
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.
What Power Platform licenses include AI Builder?
AI Builder credits are included with Power Apps Premium and Power Automate Premium licenses (Microsoft lists them at $20 and $15 per user/month; Microsoft, 2026), providing 5,000 credits per user per month pooled at the tenant level. For higher volume needs, the AI Builder capacity add-on (Microsoft list price $500 per 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.
Explore More Microsoft AI Solutions
Transform Your Business with AI Builder
Ready to automate document processing, build predictions, and add intelligence to your business applications? Contact EPC Group for expert AI Builder consulting.
Related Resources
Microsoft 365 Consulting
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Power Platform Enterprise Guide
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Responsible AI Framework
Enterprise AI ethics, bias detection, model transparency, and governance best practices.
Contact EPC Group
Discuss your Power Platform and AI Builder requirements with our enterprise consultants.
AI Governance: 2026 Considerations for Power Platform AI Builder
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:
- State buyers
- Local buyers
- Regulated commercial buyers
The four functions of the framework—Govern, Map, Measure, and Manage—align well with Microsoft products when implemented correctly:
- Microsoft Purview
- Azure AI Foundry
- Microsoft Sentinel
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:
- Advisory: a monthly retainer for boards and mid-market executive support.
- Fractional: a monthly retainer for program setup, including governance authorship.
- Transformation: a monthly retainer for large-scale Copilot/Azure OpenAI deployments.
The cost-effectiveness compared to a full-time executive's fully loaded compensation is significant for the first 6 to 18 months.
Decision factors EPC Group evaluates
- NIST AI RMF 47-control crosswalk to Microsoft platform settings
- AI Center of Excellence (AI CoE) charter, RACI, and intake process
- Microsoft Purview AI hub for sensitive-content protection
- EU AI Act readiness for high-risk AI system inventory
- Shadow AI mitigation via Defender for Cloud Apps + Conditional Access
EPC Group covers this topic across the relevant engagement portfolio. Reach the firm at contact@epcgroup.net for a 30-minute architect conversation.