Design, automate, and scale smarter workflows with the Power Platform AI Builder. TrnDigital turns everyday processes into AI-powered systems without complex coding. As a Microsoft partner, we help you add AI models to Power Apps and Power Automate so your workflows start reading documents, classifying content, and making data-driven decisions inside the Microsoft ecosystem you already run.
The Power Platform AI Builder is Microsoft’s low-code AI capability inside Power Apps and Power Automate. It lets you add prebuilt or custom AI models, invoice and document processing, text and category classification, prediction, and object detection to your apps and workflows, using the Dataverse as the common data layer. In practice, it is consumed like an AI platform as a service: you use managed AI capabilities without standing up servers, clusters, or a data-science team. That is the difference between buying another subscription and building intelligence into the systems you already trust.
Many projects fail because they add complexity instead of removing it, companies react to bottlenecks by buying more software and creating silos. We take a different approach: your existing Microsoft infrastructure holds more capability than you currently use. By adding an AI builder to your Power Platform, you stop buying new tools and start optimizing the systems you already trust, teaching your workflows to make decisions from data, whether that means scanning vendor invoices, verifying documents, or predicting churn before it hits your bottom line.
We focus on the resource-intensive tasks that drain team productivity:
Predictive insights : Use historical data patterns to forecast inventory needs, project timelines, or churn risk.
Customer experience : Train models on past ticket resolutions to suggest accurate, compliant responses to support queries.
Data extraction & classification : Automatically sort incoming emails and attachments into the right folders or CRM records based on content.
A quick guide to what you can deploy prebuilt models work out of the box; custom models are trained on your data:
| AI Builder model | What it does | Example use |
|---|---|---|
| Invoice / receipt processing (prebuilt) | Extracts vendor, totals, and line items | Accounts-payable automation |
| ID & business-card reader (prebuilt) | Reads IDs and business cards | KYC and lead capture |
| Text recognition / OCR (prebuilt) | Reads text from images | Digitizing scanned documents |
| Document processing (custom) | Extracts fields from your unique forms | Contracts, RFPs, claims |
| Category classification (custom) | Sorts text into your categories | Email and ticket routing |
| Prediction (custom) | Forecasts yes/no or numeric outcomes | Churn, approvals, demand |
This framework acts as an ai platform as a service, meaning you get the speed of cloud infrastructure without the technical debt of custom-built machine learning.
We identify exactly where a manual task costs you the most time and money.
We configure prebuilt and custom models to handle your unique documents and logic.
We build the connections that link AI decisions to your Power Apps and Power Automate flows part of the broader Power Platform services.
Your solution pulls data from Microsoft 365 and Dynamics 365, and connects to Microsoft AI on Azure for advanced needs so models use the most current, relevant data.
We establish the guardrails who can train models, who accesses outputs, how data retention works reinforced by our AI governance consulting and Microsoft cybersecurity services.
An AI model is a living asset. We monitor accuracy against real-world data and tune models as your processes change, and formalize scale through an AI Center of Excellence.
A low-risk process that targets clear outcomes
| Phase | What we do |
|---|---|
| 1 · Discovery | Examine current processes and shadow teams to see where data gets stuck |
| 2 · Prioritization | Rank models by complexity vs. impact; start with quick wins |
| 3 · Design | Architect the data flow so Power Automate and AI Builder are tightly coupled |
| 4 · Build | Develop in your own tenant, so your data stays in your environment |
| 5 · Optimize | Audit models to minimize drift and expand across departments |
A low-risk process that targets clear outcomes
| Industry | Power Platform AI Builder in action |
|---|---|
| Financial Services | Automating bank-statement reconciliation against internal ledgers for audit compliance |
| Retail & E-commerce | Categorizing large product catalogs and deriving sentiment from customer reviews |
| Manufacturing | Automating quality-control documentation and standardizing log-book data entry |
| Professional Services | Extracting key requirements and compliance terms from RFP documents |
The AI Builder is the low-code AI layer of the Power Platform. For the full platform Power Apps, Power Automate, Power BI, and Pages see our Microsoft Power Platform services. For enterprise-grade, Azure-based document intelligence at high volume, see AI data extraction. And to bring AI assistance into everyday Microsoft 365 apps, explore Microsoft Copilot services. We help you choose the right layer for each use case.
Power Platform AI Builder is Microsoft's low-code AI capability inside Power Apps and Power Automate. It lets you add prebuilt or custom AI models document processing, text and category classification, prediction, and object detection to your apps and workflows without a data-science team, using the Dataverse as the common data layer.
It acts as the cognitive engine for your workflows. Power Automate handles the logic while AI Builder handles perception tasks like reading text, extracting invoice fields, classifying content, or predicting outcomes so routine, resource-intensive work runs with little manual effort.
Power Platform and AI bridge your data sources and your business actions. AI processes unstructured data into structured formats that Power Platform uses to trigger actions in Dynamics 365, Microsoft 365, or Azure turning documents, emails, and images into decisions and workflow steps.
Yes, with guidance. The interface is low-code, but the logic design and governance should be led by technical teams to ensure accuracy and security. TrnDigital sets the guardrails so business teams can build safely.
AI Builder is consumed like an AI platform as a service: you use managed AI capabilities without maintaining servers, clusters, or model infrastructure. Developers focus on application logic rather than the underlying machine learning, which shortens delivery from months to weeks.
You can use prebuilt models invoice and receipt processing, ID and business-card reading, text recognition (OCR), sentiment, and key-phrase extraction or train custom models to classify unique documents, extract fields from your forms, or predict business KPIs.
Yes. It operates within Microsoft's security architecture. Data used to train models stays within your tenant and is subject to your organization's compliance and access policies, governed by Microsoft Entra ID and Purview.
Because the Dataverse is the common data layer, AI Builder shares context with your existing apps. A model can read a document from SharePoint, extract data, and update a field in Dynamics 365 automatically, and connect to Azure AI for more advanced needs.
AI implementation is an operational improvement project, not a software upgrade. If you’re ready to remove manual barriers from your day-to-day work, we’re ready to build the path forward with the Power Platform AI Builder.
