Power Platform AI Builder
Automate document processing, predictions, text analysis, and image recognition inside your Microsoft Power Platform environment. We help organizations design, build, and deploy AI Builder solutions that reduce manual work, improve process accuracy, and connect directly with Power Apps, Power Automate, Dataverse, SharePoint, and Microsoft 365.

Why AI Builder?
AI Builder is useful for organizations that already work inside Microsoft 365 and Power Platform because it allows teams to add AI capabilities without building a standalone AI application for many common business scenarios. For example, a company can extract information from invoices, classify incoming requests, analyze customer sentiment, or predict business outcomes using historical data directly inside Power Automate and Power Apps.
Our AI Builder Consulting Services
Our consulting services help business leaders and technical teams identify practical AI opportunities and implement solutions that deliver measurable operational improvements.
Strategy & Discovery
We begin with structured discovery workshops designed to understand your business objectives, current processes, and data landscape. Deliverable: prioritized AI use case roadmap, data readiness review, and recommended proof-of-concept plan.
Custom AI Model Development
We configure and train AI Builder models where appropriate and advise when a use case requires additional Microsoft AI or Azure services. Our approach emphasizes data quality and rigorous model validation.
Integration & Deployment
Our team integrates AI Builder models into Power Apps, Power Automate, Dataverse, SharePoint, Excel, and other connected systems. We handle end-to-end deployment and workflow triggers so AI capabilities are embedded directly into your business processes.
Training & Enablement
We empower your teams through hands-on training tailored for both citizen developers and business users. We also provide change management guidance to support adoption and maximize the return on your AI investments.
Ongoing Support & Optimization
After deployment, we provide continuous support to monitor performance, fine-tune models, and plan for scalability as usage grows. Our optimization services ensure your AI solutions remain accurate, efficient, and aligned with evolving business needs.
Our Clients










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Industry Use Cases That Deliver Real Impact
Across industries, AI-powered solutions are driving measurable improvements in efficiency, accuracy, and decision-making.
| Industry / Department | Use Case | Business Value |
|---|---|---|
| Extract data from invoices, receipts, purchase orders, and statements | Reduce manual entry and speed up approvals | |
| Process employee forms, onboarding documents, and policy acknowledgements | Improve consistency and reduce admin work | |
| Classify service requests, inspection forms, or work orders | Route tasks faster and reduce missed information | |
| Analyze sentiment and categorize incoming messages | Prioritize urgent issues and improve response handling | |
| Use image recognition for visual checks where suitable | Support quality control and inspection workflows |
Security & Compliance
We design AI Builder solutions with privacy, access control, and governance in mind. This includes reviewing data sources, permissions, Dataverse roles, Power Platform environment settings, and workflow access. We also help clients understand how Microsoft’s security, compliance, and data handling controls apply to their specific tenant and use case.

How Our Process Works
Our proven delivery process ensures AI solutions are designed with purpose, implemented efficiently, and adopted successfully across your organization.

Assessment

Use Case Selection

Proof of Concept

Workflow Integration

User Testing & Validation

Training & Support
Example AI Builder Project Scenarios
Below are representative examples of how organizations can use AI Builder to automate manual processes and improve decision-making.
Finance Organization
An enterprise finance team used AI-powered document processing to extract invoice and receipt information automatically. This reduced repetitive data entry, improved consistency, and streamlined financial workflows.
Manufacturing Organization
A manufacturing company implemented image recognition to support defect detection and visual inspections. This helped identify quality issues earlier and reduced the amount of manual review required.
Customer Support Organization
A customer support team applied sentiment analysis to incoming tickets to identify urgency and customer intent. This improved ticket routing and helped agents respond more effectively to high-priority issues.
Pricing & Engagement Models
We offer clear entry points and adaptable engagement options that ensure you receive maximum value at every stage of your AI journey. We help clients estimate licensing needs and optimize capacity usage.
































































