Creating solutions to address business needs involves more than just developing an app. Solutions are a collection of objects from across the Power Platform that store data, provide end-user apps, and automate workflows. Regardless of the technology used to solve a business problem, the first step to success is defining your solution architecture to support various user roles and their requirements. This ensures you can build a solution that benefits your business. Copilot can now assist with detailing the scenario and requirement definitions, such as user roles, user requirements, data schemas to support data, and creating an overall solution architecture through proposed objects.

• Scenario and requirement definition: Begin with a description of your business problem and provide additional context like process diagrams, data models, or even screenshots of legacy apps. Copilot will use this input to draft user roles and requirements for the solution.
• Data modelling: Once aligned on requirements, Power Apps will propose a data model to support the solution and allow the maker to explore and make updates through a visual entity relationship diagram.
• Solution architecture: Copilot will recommend the types of apps and automation that will fit the requirements. In the initial release of this functionality, the recommendations will include canvas and model-driven apps, as well as cloud flows in Power Automate.

During the early phase of the public preview, these Copilot skills are off by default. To access these features, simply turn on the Try the new Power Apps experience toggle on the Power Apps home page. This will allow you to create and manage your plans.

You can easily find, filter, and sort your data using natural language grid filtering, which eliminates the need for complex, advanced filters by allowing you to describe what you're looking for.

For example, if you ask for cases that are high priority with an overdue follow-up by date, this filters your view to only show those relevant cases. Using natural language saves time as you no longer need to use column filters or advanced filters.

Supported features:

• Filtering of records
• Sorting
• Text search

Please note that this feature is currently in preview. It will be enhanced with each weekly release and can be turned on through the admin setting 'Natural Language Grid and View Search'.

Are you tired of creating new tables, only to discover that they duplicate existing ones in your environment? Say hello to a smarter way of designing data models using the Copilot-assisted ERD designer. Now, instead of starting from scratch, you can leverage your existing tables to build more robust data models. Here’s how it works: Simply type out your requirements in natural language, and Copilot will craft a multi-table data model that incorporates both new and existing tables. Need to find relevant tables quickly? Copilot’s recommendations have you covered and will locate the right tables in seconds. Once you’ve assembled your tables, switch to the ERD view. There, you can review your new and existing tables side-by-side. While editing existing tables in the ERD view isn't fully supported yet, you can create lookups into the existing tables in a simple drag-and-drop interaction to define meaningful connections between tables.

Makers will be able to associate Microsoft Copilot Studio agents with model-driven apps in the modern app designer, enabling business users to oversee and manage those agents within those apps.

Business users will see the associated AI agents' data in a new left side pane in their apps that enables them to see what the agents have done on their behalf while simultaneously completing their workflows based on the exceptions the agents might have.

For example, in an app for managing employee reimbursement claims with an AI agent automating the approval and rejection of said claims, a business user can oversee the agent and handle any exceptions or escalations. This includes handling non-standard claims or resolving errors the agent encounters during the approval or rejection process.

With humans-in-the-loop, AI agents can significantly streamline business processes by automating away the mundane, repetitive tasks.

The server for Dynamics 365 finance and operations apps, known as the Application Object Server (AOS), will strengthen security by removing the ability to authenticate with certificates. This means we will no longer provide the ability in the Regression suite automation tool (RSAT) to provide a certificate. The user must use a username and password, using an Entra policy, to avoid multi-factor authentication.

Expanded support for Test Engine tests using YAML and Power FX. Test Engine will have enhanced canvas app testing capabilities, introduce model-driven app testing, and more robust authentication options.

You can now export a canvas app as a binary file with the extension .msapp. You can use Power Platform CLI to convert a .msapp file into source code files. With this feature, you no longer need to use the Power Platform CLI to convert the .msapp files. You can view the source code for the canvas app in an updated, human readable YAML format. Each screen has a separate file.

View the source code of your canvas app directly in Power Apps Studio or use external code editors.

This new capability helps you to:

• Store the files in a code repository.
• Automate generation of a canvas app.
• Improve the generative canvas app models.
• Refactor canvas apps without using the designer.
• Integrate natively with Git for Power Platform.