In This Article
Microsoft’s September 2026 Power Platform feature update expands AI-assisted development, modernizes Power Apps experiences, and improves automation discovery. The release also adds new learning resources and administration guidance. For enterprise technology leaders, the changes signal a continued shift toward governed, AI-enabled application development connected to broader data and analytics strategies.
Key takeaways
Microsoft’s update focuses on several areas with direct implications for enterprise delivery teams:
- AI-assisted tools can now help build complete model-driven applications and modify canvas apps.
- Generative pages can be embedded in model-driven forms and connected to external data sources.
- Model-driven apps receive a refreshed interface, while display-density controls enter preview.
- Power Automate adds faster entry points and more complete flow search.
- New hands-on training supports Power Platform, AI, and solution architecture skills.
These capabilities can help organizations reduce manual development effort, improve self-service adoption, and connect operational applications more effectively with analytics platforms such as Microsoft Fabric and Power BI.
AI expands from app components to complete applications
A major update is the general availability of the model app-builder skill. Using natural-language requirements with AI coding tools such as GitHub Copilot CLI or Claude Code, teams can plan and create model-driven applications across tables, relationships, forms, views, charts, security roles, business process flows, and business rules.
The process remains reviewable: no artifacts are created until the user approves the proposed plan. That control is important for enterprise teams managing data quality, security, and application lifecycle management. Standard Power Apps and Dataverse artifacts can also be refined in Power Apps Studio, giving developers a choice between agent-assisted and traditional design workflows.
Microsoft also made the canvas authoring agent plugin generally available, allowing makers to create, inspect, and update canvas apps through agent-driven interactions.
Generative experiences become more connected
Generative pages can now appear directly inside model-driven app forms, where they can receive the current record ID. This enables organizations to combine structured data-entry experiences with richer, purpose-built AI views for individual records.
Connector support is available in public preview, allowing generative pages to use data from services such as SharePoint and SQL in addition to Dataverse. For organizations consolidating operational and analytical data, this could create more flexible front-end experiences—provided connection design, permissions, and governance are addressed carefully.
This direction is particularly relevant to Power BI and Fabric teams. As applications draw on more connected data, consistent definitions, secure access, and well-designed pipelines become increasingly important to reliable reporting and decision-making.
Modern interfaces and faster automation
The refreshed model-driven app header and navigation experience is now generally available, while display density is in preview. Users can choose comfortable, cozy, or compact layouts, helping teams fit more information into working screens. The refreshed experience remains opt-in for makers.
Power Apps also adds Fluent 2-based canvas screen templates, bulk updates for eligible modern controls, and improvements to progress bars, avatars, spinners, date pickers, and reset behavior. These changes can shorten design cycles and reduce repetitive maintenance work.
In Power Automate, quick-start cards provide clearer paths into common automation scenarios. Server-side search in My Flows returns results from the full environment rather than only flows already loaded in a browser, which is valuable for teams managing large automation estates.
What enterprise leaders should assess
The update offers practical opportunities, but adoption should be tied to measurable outcomes. Organizations should evaluate whether AI-assisted development can reduce delivery time, whether connector-based experiences meet security requirements, and how new applications will align with Dataverse, Fabric, and Power BI governance.
Spargent helps enterprise teams connect these priorities by combining Power BI and Microsoft Fabric expertise with scalable data-platform delivery. A disciplined approach can turn new Power Platform capabilities into faster reporting, lower implementation risk, and stronger returns from self-service applications and analytics.
Sources
