Do You Even Need an Agent?

SharePoint Skills, Cowork, and Better AI Judgment

For the past year, I have watched “build an agent” become the AI version of “make it a Team.” And to be fair, I have been guilty of that too. I have agent-fied more than one scenario that probably did not need to become an agent at all. A perfectly normal SharePoint problem shows up, and before long the conversation has leapt to chat surfaces, custom instructions, clever names, and a polished little AI wrapper that is somehow supposed to make the whole thing feel more strategic.

Sometimes that is the right answer.

A lot of times, it is not. That is exactly why the new skills capability in AI in SharePoint caught my attention. Not because it is flashy, but because it may force people to slow down and ask a better question.

Skills are a way to turn repeatable, multi-step work into something reusable on the site itself. They take logic that would otherwise live in scattered prompts and make it something other people can run again, in the same place, against the same content, with the same intent.

That sounds small at first, until you realize how many so-called agent ideas were never really agent ideas to begin with.

A surprising number of them are just this: use the content already on this site, follow these rules, and do the work the same way every time.

That is not an orchestration problem. It is not a cross-platform problem. It is not even necessarily a conversational problem. In many cases, it is a repeatability problem. And repeatability is exactly where skills start to matter.

The real issue was never AI versus no AI

The real issue was always whether the task deserved its own architecture.

There is a huge difference between a system that needs to pull from multiple knowledge sources, take actions in other places, and show up across Microsoft 365, versus a system that just needs to help people work more consistently with content that already lives in SharePoint.

That distinction matters because it changes the design conversation completely.

If the need is broad, cross-system, and action-oriented, then yes, a bigger solution may make sense. But if the need is really “help us apply this same pattern to this same content every time,” that is a much narrower problem. And narrow problems do not automatically become better just because they are wrapped in a chat experience.

In a lot of cases, the real value is not in inventing a new interface. It is in making the work reusable.

Why this matters so much in SharePoint

SharePoint has always had a particular kind of problem hiding in plain sight: people ask for sophistication when what they actually need is structure.

They want a smarter way to review documents, but the real issue is that nobody agreed on what “good” looks like.

They want AI to help organize content, but the real issue is that the library has no consistent metadata, no clear process, and no shared standards.

They want an agent to answer questions, but the real issue is that they are trying to solve a site-level content pattern with an enterprise-level abstraction.

That is why skills feel important. They sit much closer to where the work actually lives. They are not some floating AI layer off to the side. They live with the site. They can be managed with the site. They fit naturally into the same environment where the content, permissions, governance, and information architecture already exist.

That is a much more SharePoint-native story than “we built a chatbot.”

And frankly, that is where some of this work belonged all along.

Where skills start to replace weak agent ideas

I do not think skills replace agents wholesale.

I do think they replace a lot of weak reasons for building them.

If the use case is essentially “help us apply the same pattern to this content every time,” then skills may be the better answer. If the work is site-scoped, content-centric, and already lives inside SharePoint, spinning up a separate chat experience starts to look less like innovation and more like a reflex.

That is especially true when the requested “agent” is really just a polished wrapper around one of these tasks:

Review these documents against a consistent standard.

Summarize content in a structured way.

Route attention to exceptions.

Use the same internal rules every time.

Work only with content already on this site.

That is the lane where skills make a lot of sense, because the value is not in inventing a new AI personality. The value is in turning a repeatable pattern into a reusable operating model.

In other words, skills do not just make SharePoint “more AI.” They make SharePoint more opinionated about reuse.

That is a good thing.

Where Cowork starts to clarify the picture

This gets even more interesting when you put skills next to Cowork.

Cowork sits at a different layer. It is the broader “go do the work” layer across Microsoft 365. Skills are much narrower. They are the “here is how we do this here” layer inside SharePoint.

That distinction is useful because it suggests a much healthier division of labor than the one a lot of organizations have been using.

If the real problem is, “We need a consistent way to review, summarize, organize, or assess content on this SharePoint site,” then a skill may be exactly the right fit. If the problem becomes, “Now take that output, notify people, create the follow-up file, post to Teams, schedule the meeting, and move the work across the wider Microsoft 365 environment,” that starts to look a lot more like Cowork territory.

And that, to me, is the more interesting story.

Cowork does not make skills less relevant. It makes them easier to understand.

The broader execution layer still needs good structure underneath it. The content still has to be understandable. The standards still have to exist. The process still has to be clear enough to reuse. Skills help formalize that layer inside SharePoint so that broader execution does not start from chaos.

Where agents still absolutely matter

None of this means agents are going away.

When the requirement actually is broader, agents still make complete sense.

If the scenario needs multiple knowledge sources, external actions, deeper orchestration, or a more tailored experience across surfaces, that is still agent territory. There are absolutely valid reasons to build them. But “we have one library and one repeatable pattern” is becoming less convincing as one of those reasons.

That is the real value of this moment. Skills do not kill agents. They make people justify them.

And honestly, good.

A lot of organizations needed that pressure.

The bigger shift is cultural, not technical

What I like most about this feature is not the mechanics. It is the pressure it puts on bad decision-making.

For a while now, AI conversations in SharePoint have had a tendency to skip right past the boring, useful questions and head straight for the shiny answer. We have been too willing to confuse a chat surface with a solution. We have been too willing to call something strategic because it sounds more advanced than it really is.

Skills interrupt that.

They force a more grounded question set.

Does this need anything beyond SharePoint content?

Does it need to take actions outside the site?

Does it need multiple knowledge sources?

Does it need a broader publishing surface?

Or do we just need a repeatable way to apply the same logic to the same content?

Now there is another useful question to add:

Does this just need a reusable SharePoint pattern, or does it actually need something to carry the work across Microsoft 365?

That is a much healthier decision tree than the one a lot of organizations have been using.

It is healthier for governance too, because every unnecessary layer of AI architecture brings its own management overhead, publication choices, risk questions, and cost conversations. If a SharePoint-native pattern can handle the problem, then keeping the solution closer to the content is often the cleaner move. And if the work genuinely needs to move outward across the suite, at least you are making that jump for a real reason.

The caveat, because there is always one

This is still early enough that nobody should pretend the story is finished.

That matters. But it does not change the bigger point.

The decision tree is changing.

And it is changing in a direction I think SharePoint badly needed.

My take

I do not think SharePoint skills kill agents.

I think they kill off some of the laziest justifications for building them.

And honestly, good.

Not every SharePoint problem needs a bot with a name, a greeting, and a carefully staged demo. Some problems need structure. Some need repeatability. Some need people to admit that what they really wanted was a governed pattern, not a new interface.

And some problems may eventually need something like Cowork to carry the work farther. But that should come after the simpler question is answered, not before it. First decide whether the work is really just a repeatable SharePoint pattern. Then decide whether it needs broader execution. That is a much better order of operations than slapping “agent” on everything and calling it a strategy.

If skills push more organizations toward that realization, they may end up being one of the more important SharePoint AI features precisely because they are not trying to be everything.

They are just forcing better judgment.

Microsoft References

Extend AI in SharePoint with skills
https://learn.microsoft.com/en-us/sharepoint/ai-in-sharepoint-skills

Get started with AI in SharePoint (preview)
https://learn.microsoft.com/en-us/sharepoint/ai-in-sharepoint-get-started

Cowork overview (Frontier)
https://learn.microsoft.com/en-us/microsoft-365/copilot/cowork/