Microsoft shipped SharePoint Copilot Apps public preview this week on the Microsoft 365 Developer Blog. The pitch is simple: guided, action-oriented business experiences that live inside the Microsoft 365 Copilot flow, combining natural language reasoning with structured UX, validation, permissions, and deterministic operations. Source is here.
I read the post twice. Not because it is dense, but because this fills a gap I have been complaining about internally for months.
What it actually does
A SharePoint Copilot App is a declarative app definition that sits inside SharePoint and surfaces inside Microsoft 365 Copilot as a first-class action target. When a user asks Copilot to do something that matches the app’s intent, Copilot hands off to the app, which then renders a structured form or guided flow with validated inputs, honors SharePoint permissions, and executes deterministic operations against SharePoint data.
So instead of Copilot free-forming a response and hoping the model picked the right list columns, the app enforces the shape of the operation. Required fields are required. Dropdowns are dropdowns. Permissions are the permissions the underlying SharePoint site already has. The reasoning layer stays in Copilot. The execution layer is deterministic.
It is not a Power App. It is not a Copilot Studio agent. It is a SharePoint-native app model that Copilot knows how to invoke.
Why it matters
Pure natural-language Copilot interactions are great for exploration and terrible for repeatable business actions. I have written about this before in the Copilot in Power Apps post: coherent is not the same as correct. When an agent writes a record based on a chatty back-and-forth, you get answers that sound complete and quietly did the wrong thing.
The pattern I keep seeing is teams reaching for a full Copilot Studio agent when what they actually need is a form with three fields, a validation rule, and a write to a SharePoint list. That is overbuild. It is also brittle, because now you have a system prompt, tool definitions, and a Power Automate flow all trying to model behavior that a simple structured input would have handled correctly the first time. If you want to understand why that brittleness compounds once the agent hits production, Why Do AI Agents Fail in Production When They Worked Fine in Testing covers exactly that failure pattern.
SharePoint Copilot Apps land right in that gap. If the process is SharePoint-heavy, the data already lives there, and the action is well-shaped, this is closer to your use case than a custom agent. You get the Copilot entry point without paying the tax of building deterministic execution on top of a probabilistic layer.
The trade-off is real. You are locked into SharePoint as the substrate. You give up the flexibility of a Copilot Studio agent that can orchestrate across multiple systems. And you inherit whatever SharePoint permission model you already have, which is a gift or a curse depending on how tidy your sites are.
There is also the honest question of where this sits against Power Apps. A canvas app already does structured input against SharePoint. What Copilot Apps add is the Copilot invocation surface. Users do not have to know the app exists or navigate to it. They say what they want in Copilot and the app appears in the flow. That is the actual delta.
What I would do with it this week
I would pick one high-volume, low-complexity SharePoint process. Something like a request submission, a status update, or a document check-in with metadata. The kind of thing that today is either a clunky SharePoint form or a Power App that nobody uses because they forget the URL.
Then I would rebuild it as a SharePoint Copilot App and see two things. First, does Copilot route to it reliably when users describe the intent in their own words. Second, does the structured form catch the mistakes that a free-form Copilot conversation would have quietly committed. Both of those are testable in a day.
If routing is unreliable, that is the same failure mode I flagged in the multi-agent orchestration post. Descriptions matter more than trigger phrases. Write them like documentation, not marketing copy. The same principle applies inside Copilot Studio — How Copilot Studio Agent Tool Selection Actually Works Under the Hood is worth reading alongside this if you want to understand how the orchestrator scores and selects actions.
For deeper Copilot extensibility context, the Microsoft 365 Copilot extensibility docs are the reference I would keep open while building. And if you want to compare notes on where this fits in the stack, I am usually posting about it on LinkedIn.
I want to see how the routing behaves under real user language before I commit to a pattern, but this is the first structured action surface inside Copilot that feels appropriately scoped rather than oversized.
This post was inspired by SharePoint Copilot Apps Now in Public Preview: From Intent to Action in Microsoft 365 Copilot via Microsoft 365 Developer Blog.
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