Microsoft SME Finder Agent: Find the Person Who Actually Knows the Answer

Organizations lose time in a very predictable way.

Someone has a question. The answer is not documented clearly. They ask a coworker. That coworker points them to someone else. Eventually the question reaches the one employee who actually knows the subject.

Microsoft’s SME Finder agent is designed to shorten that chain.

What Is the SME Finder Agent?

SME Finder is a declarative agent template in Microsoft’s Agent Library.

Microsoft describes it as an agent that helps employees identify subject-matter experts based on skills, experience, organizational context, and relevant work history. It is intended to help people find the right person when documentation alone is not enough.

The core idea is simple:

Instead of asking, “Who knows about this?” across Teams or email, ask the agent.

What Could Someone Ask?

An employee might ask:

“Who knows the most about Power BI in our finance team?”

“Who has experience with federal grant reporting?”

“Who worked on the Acme implementation?”

“Who understands our old accounting system?”

“Who should I talk to about SharePoint permissions?”

“Who has handled this type of customer escalation before?”

The agent can use available organizational context to help identify likely experts.

That is different from a traditional employee directory.

A directory tells you someone’s title.

An SME agent tries to tell you who actually has relevant experience.

Why Titles Are Not Enough

Organizational charts rarely show where real expertise lives.

An operations manager may also be the person who understands a complicated vendor process.

A project manager may have deep knowledge of a particular customer.

An accountant may be the only person who remembers how a legacy reporting system works.

None of that is necessarily visible in their job title.

SME Finder attempts to use signals from organizational work to expose that hidden expertise.

That can be particularly valuable in companies where employees have accumulated knowledge over many years but little of it has been formally documented.

It Can Reduce Manager Interruptions

Managers often act as human routing systems.

Employees ask: “Who should I talk to about this?”

The manager thinks for a moment and sends them to Sarah.

That seems trivial, but it happens constantly.

A useful SME Finder agent can answer many of those routing questions without requiring a manager to remember the company’s entire knowledge map.

That does not eliminate the need for managers.

It removes one more category of low-value interruption.

It Also Helps With Onboarding

New employees have an additional problem.

They do not yet know who knows what.

An experienced employee may already understand that Jane handles unusual payroll questions and Mike knows everything about the warehouse system.

A new hire sees two names in Microsoft Teams.

SME Finder can potentially expose those informal knowledge networks much faster.

That fits closely with a broader onboarding architecture where employees need not only approved documentation, but also clear escalation paths and access to people who can handle exceptions.

Expertise Should Eventually Become Knowledge

There is one obvious danger.

If the same employee is identified as the expert for 50 different questions, the company has discovered something important:

A knowledge dependency.

That employee may be valuable, but the organization is also vulnerable.

SME Finder should therefore do more than route questions.

It can reveal where critical knowledge is concentrated in too few people.

Maisy’s institutional knowledge risk framework identifies key-person dependency as one of the primary forms of organizational knowledge risk.

If the agent repeatedly sends everyone to the same person, that should trigger a knowledge-capture effort.

A Practical Example

Imagine a 60-person manufacturing company.

An employee asks:

“Who understands the calibration process for the older production line?”

The agent identifies two employees who have worked with that equipment extensively.

That solves the immediate problem.

But now the organization has also learned something:

Critical technical knowledge may exist primarily with those two people.

The next step should be capturing the procedure, common failures, exceptions, warning signs, and escalation rules into an approved knowledge source.

Then future employees can ask the knowledge system first.

The SME becomes the escalation path instead of the search engine.

That is a much healthier operating model.

SME Finder and a Knowledge Hub Work Well Together

A good internal agent should follow a hierarchy:

First, retrieve the approved answer.

If the answer does not exist or is ambiguous, identify the appropriate subject-matter expert.

Then capture the resolved answer so the next employee does not need to ask again.

That creates a learning loop.

Maisy’s Knowledge Capture Playbook follows the same model: identify high-value knowledge, extract it from experienced employees, validate it, assign ownership, and turn it into a governed knowledge asset.

SME Finder can help identify where that capture effort should begin.

The Quality of Organizational Data Matters

The agent cannot identify expertise that leaves no evidence.

If employee profiles are empty, projects are poorly documented, Teams activity is inaccessible, and important work happens outside Microsoft 365, the agent has less context to work with.

Organizations may therefore need to improve basic information such as skills, roles, project participation, departments, certifications, areas of responsibility, and previous assignments.

This does not require creating encyclopedic employee profiles.

It requires enough reliable organizational context for the agent to distinguish expertise from job titles.

Permissions and Privacy Matter

Finding expertise involves employee information.

That creates legitimate privacy questions.

The agent should not expose confidential HR information, private communications, performance records, or sensitive personal details simply because those sources might help infer expertise.

Microsoft 365 permissions and organizational privacy policies still apply.

The goal is to answer:

“Who can help with this?”

Not:

“Tell me everything the company knows about this employee.”

Microsoft Gives You the Framework

The organization still needs to determine what qualifies someone as an expert, which organizational signals the agent should use, what employee information is appropriate, how recommendations should be validated, when the agent should identify one expert versus several, and how repeated expert referrals should feed into knowledge capture.

Those decisions turn the agent from a people search tool into something more useful.

Why SME Finder Matters

Most companies already know more than their documentation shows.

The knowledge lives inside people.

SME Finder helps employees locate those people faster.

But its bigger value may be revealing where the company is too dependent on them.

Finding the expert solves today’s question.

Capturing what the expert knows solves tomorrow’s.