I used the holiday break to learn more about Copilot Agents.
On the one hand, they are genuinely impressive tools. You can now, simply by stating what you want, get your computer to create a solution that does almost exactly that.
Or—perhaps more accurately—nearly exactly that. But more on that later.
The more I learned, the more confusing things became. Watching various videos and LinkedIn posts, it quickly became clear that people are talking about very different things when they talk about Copilot Agents—things that behave in fundamentally different ways.
On its own, that wouldn’t necessarily be a problem.
What does make this tricky is that many of these “agents” don’t just experiment quietly in the background. They create artifacts, surface data, and can be shared broadly—often without anyone realizing that’s what just happened.
This post is the first in a short series about Agents within the licensed version of Microsoft Copilot. Its goal is not to explain everything. Instead, it’s meant to help you see why this deserves a conversation now, at the start of 2026—before these tools quietly become part of everyday work. And yes: unless you actively restrict them, many of these capabilities are already available to everyone in your firm.
The Good News
Most organizations with licensed Copilot access already have agent-like capabilities available.
In a previous post, I wrote about 2026 as a “typewriter moment.” In the early days of Word, the question was whether everyone should learn to type—or whether that should remain the domain of secretaries and admins.
A similar question is emerging now.
Should we only teach people how to use Copilot—which is relatively easy?
Or should we also teach how to create Copilot Agents—where the real productivity gains may lie, but where the learning curve and time investment are higher?
The potential is clearly there.
The open question is how to unlock it responsibly.
The Bad News
Microsoft has created a naming mess that is genuinely confusing by calling almost everything an agent.
Anyone with a paid Copilot license can:
- use agents inside Copilot to streamline repeat tasks
- create solutions to recurring annoyances
And that’s exactly why you want people to experiment with agents in the first place.
The challenge is that these agents vary widely in capability and impact. Once you start experimenting, it’s easy to lose your bearings.
For me, it felt like the early days after moving to the US. We had just moved into a new house and needed screws and basic DIY tools. I knew the grocery store wouldn’t have them. Target had a few options. But what I really needed was a hardware store.
At the time, I didn’t yet know that hardware stores weren’t in malls—and that Lowe’s and Home Depot were the places to go.
In other words: I knew what I needed, but not where to go to find the best solution.
That’s exactly how Copilot Agents felt to me.
To make this a bit more concrete, I created the overview below.
Three Top-Level “Agent” Layers
There are three Top-Level “Agent” Layers in the Copilot Ecosystem:
| Layer | What it does | Why it matters organizationally |
| Copilot Agents in Microsoft 365 (Copilot Studio lite) | No-Code: Agents that live in Copilot Chat, Teams, Outlook | Easy to use; may surface information firm-wide via Copilot chat, Teams, or SharePoint |
| Copilot Studio (full) | Low-code: For richer agents and workflows | Introduces integrations, data flows, and publishing decisions |
| Microsoft Foundry agents | Pro-code: Azure-hosted agents | Maximum flexibility, production workloads, identity, and lifecycle management |
Copilot Studio (full) and Microsoft Foundry agents are extremely powerful. They give you maximum flexibility and deep control—but they are not what most users need, want, or even have access to. These two types of Agents are the domain of developers.
That’s why Microsoft introduced a set of capabilities inside Copilot Studio—often referred to as Copilot Studio lite—to make agent creation accessible to everyone with a no-code format.
Inside Copilot Studio Lite
Within Copilot Studio Lite, several tools sit very close together, yet behave very differently. All three enable you to create agents using natural language.
| Capability | What it enables | Why leaders should be aware |
| Agents | Quick helpers with the ability to insert your own instructions and resources | Can be shared; rely on underlying permissions |
| Workflow / Agent flows | Repeatable, triggerable, multi-step workflows | Begin encoding “how work gets done.” |
| Apps Builder | Create an interface that helps you perform a task, using scaffolded apps and SharePoint sites | Creates permanent structures and data capture within SharePoint |
What’s easy to miss is that while agents themselves are relatively limited in what they can do, they can be shared firm-wide with very little friction.
What's more, tools like Apps Builder can create SharePoint sites with a single click—often without the user fully realizing that they’ve done so.
Uneven governance
Interestingly, most of the formal governance guidance you’ll find today focuses on Copilot Studio (full)—where advanced controls, auditing, environments, and lifecycle management live.
The lite experience—the one most users encounter first inside Microsoft 365 Copilot—does not come with a comparable governance framework.
Instead, Copilot Studio lite agents inherit your existing Microsoft 365 permissions and defaults.
That sounds reassuring—and to a degree, it is. No new privileges are created.
But it also makes the risk more subtle.
There is no dedicated admin surface that clearly shows:
- which agents exist
- where they live
- who shared them
- or how they might surface information across Teams or SharePoint
This is not a flaw so much as a design choice—but it explains why so much happens quietly.
This is where the real issue begins.
Why This Will Create Adoption Challenges
From an organizational perspective, two things are true at the same time:
- You want to promote experimentation—because that’s how people discover what’s actually useful and where the real ROI of GenAI lies.
- And yet, you probably don’t want people casually creating SharePoint sites or firm-wide agents without awareness or coordination.
This is where many organizations get stuck.
Forbidding everything feels heavy-handed.
Letting everything happen quietly feels risky.
And what sits in between is not yet clearly defined.
Make a conversation the first step
Honestly, I don’t have an ironclad solution to this either.
Fortunately, for most of my clients, only a small number of people are experimenting with agents right now—and those people tend to be the most experienced GenAI users. That creates a window of opportunity.
Before rules.
Before guardrails.
Before tooling decisions.
The most helpful thing you can do right now is have a conversation—one that clarifies how much support and freedom your early adopters actually need to make their work easier.
Then, have a second conversation about the back end: what gets created, where it lives, and what becomes visible to others.
From there, you can together define lightweight guidelines and guardrails for the next three to six months—knowing they will evolve as you learn what works and what needs tightening.
Why This Is a Series — Not a One-Off Post
This post is intentionally incomplete. I don’t have all the answers yet either.
In the next posts, I’ll go deeper into:
- How to increase the odds that Copilot Agents do what you intend
- How to tell early whether experimenting with Copilot Agents is worth the time
- How to introduce guardrails that support learning and experimentation instead of stopping it
If you’re interested in being part of this discussion, please reach out—I’d genuinely love to compare notes.