Power Platform Offboarding Checklist
Cleanly transfer flows, Power Apps, and connections when an employee leaves: the Power Platform checklist for before and after.
Power Automate or Power Apps? Here's how to decide, using official Microsoft criteria, whether your process needs a flow or an app.
The question comes up at some point in almost every Power Platform project: do you build a flow for this process, or do you build an app? Both tools come from the same Power Platform family, access the same connectors, and can even be combined, yet they solve fundamentally different problems. Anyone who gets the decision wrong either builds an app for something that should run entirely in the background, or struggles to recreate a real user interface through email notifications and approval steps in a flow.
Microsoft itself provides clear guidance in its official documentation on when which tool should tip the scales. This article summarizes the key criteria and translates them into a practical decision aid. That way you stay in control of whether a process needs an interface or can run fully automated in the background, instead of always reaching for the same tool out of habit.
According to Microsoft's official overview "What is Power Automate?" Power Automate is an automation service that lets you build workflows via drag-and-drop, triggered automatically, instantly, or on a schedule. Power Automate takes care of what happens between systems: moving data from A to B, collecting approvals, sending notifications, updating records across multiple services at the same time.
Power Apps, on the other hand, is according to Microsoft's official overview "What is Power Apps?" a rapid development environment for custom business apps that connect to data in Microsoft Dataverse or many other online and on-premises data sources. Power Apps therefore takes care of what people see and interact with: filling out forms, browsing records, making decisions, getting an overview of information on a screen.
This basic distinction sounds trivial, but in practice it's the most reliable first filter: does your process need a screen interface that people actively work with? Then there's no way around Power Apps. Does the process instead run entirely in the background without direct interaction? Then a flow is the right choice.
Microsoft's documentation on integrating cloud flows with Power Apps names three characteristics that make Power Automate particularly strong and that work well as decision criteria:
In concrete terms, that means: a flow is a good fit when a new row in a SharePoint list automatically triggers an approval chain, when data needs to be transferred daily from a CRM to a reporting system, or when a record is automatically created in Dataverse upon receiving an email. According to the guide on choosing an automation method, you additionally distinguish between automated triggers that react independently to an event, instant or manual triggers that are started at the push of a button, and scheduled triggers that run at fixed times. Together, these three trigger types cover almost every automation scenario without a user interface.
An app becomes the better option whenever people need to actively work with data instead of just receiving a notification. Typical signals for this are:
If this app is connected to Dataverse, you can choose between a canvas app, where you have full design control over every element, and a model-driven app, whose interface is largely generated automatically from the data model and is responsive and accessible by default. For data-dense, process-driven applications with clearly structured tables, a model-driven app is often the faster build, while for individually designed interfaces with many different data sources, a canvas app is the more flexible choice.
In practice, a flow and an app rarely exclude each other. Microsoft's documentation describes exactly this interplay under the point "complex sequences and multiple connectors": a Power App can trigger a flow and then immediately continue working without waiting for its response, because the flow runs asynchronously in the background. The app stays responsive for users while the actual, often multi-step automation happens in the background.
A typical pattern: an employee fills out an expense report in a Power App. Upon submission, the app creates a new row in Dataverse, a flow automatically reacts to this new row, collects approvals from several supervisors, updates an accounting system, and finally sends a confirmation. The app provides the interface, the flow provides the logic behind it. Anyone who plans this combination cleanly from the start, instead of bolting automation onto an existing app afterward, saves themselves elaborate rebuilding work later.
Before you start building, four quick questions are worth asking:
If the first three points predominate, that clearly points toward a flow. If the last point predominates, you need a Power App, possibly supplemented by exactly one flow for background automation. Anyone who is unsure where the line lies across several planned flows and apps often benefits from a short Power Automate consultation that goes through each process to determine which is the leaner solution.
Yes. Many canvas apps manage entirely without a flow, especially when Power Fx suffices as the primary logic, for example for simple forms, filters, or calculations. According to Microsoft's documentation, a flow becomes relevant mainly when complex sequences across multiple connectors are needed, or when the app needs to offload a longer-running task asynchronously.
No. A cloud flow can run entirely without any app, for example as an automated flow that reacts to an event in SharePoint or Outlook, or as a scheduled flow that runs at fixed times. An app only becomes necessary once people need to actively work with the data or trigger the process manually.
With a canvas app, you have full design control over every element and every connection to data sources, but the build effort is higher. A model-driven app, by contrast, is generated from your data model in Dataverse, automatically produces a responsive, accessible interface, and is easier to migrate between environments, but offers less design freedom in return.
Desktop flows come into play when no suitable connector exists and, instead, a desktop application or a web browser-based application needs to be automated by mimicking keyboard input and mouse movements. For everything a connector is already available for, a cloud flow remains the simpler and more robust solution.
For pure automation logic, yes; for interaction with people, no. A flow can collect approvals and send notifications, but it doesn't offer a searchable, filterable interface with multiple records visible at once. As soon as users need to do more than confirm or reject a single action, a Power App is the more suitable complement.
Founder of NordFlux. Spent four years automating processes at enterprise scale at Dräger, and now brings that depth to the mid-market — pragmatic and with full data sovereignty.
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Cleanly transfer flows, Power Apps, and connections when an employee leaves: the Power Platform checklist for before and after.
A flow alone is not always enough, sometimes users need an active interface, and sometimes an app is overkill for a simple task. NordFlux advises on the right combination of Power Automate and Power Apps for your specific process. In the first conversation we analyse your use case and show which tool actually delivers.