SCOUT In Action

We started by asking faculty and staff where work gets difficult. Their answers helped us develop representative workflows to test whether SCOUT can actually help.

Here are a few of the kinds of questions we’re using to put SCOUT through its paces.

Find the Right Starting Point

"I need to purchase software for a new employee. Where do I start?"

Sometimes the hardest part of a university process is simply knowing where to begin. SCOUT can help identify the relevant service, process, or documentation and point you back to the university sources behind its answer.

Make Sense of Something Complicated
“I need to travel for a conference in a couple of months. What do I need to do to book my hotel and airfare?”

Some processes happen infrequently enough that we have to relearn them every time (and, by then, something may have changed). SCOUT can bring together current guidance from multiple university resources and help turn it into a clearer path forward.

Know When the Answer Needs More Than AI
"Can I use an AI transcription service for research interviews?"

Not every university question has a simple answer. SCOUT can help identify relevant policies and resources, explain what they say, and recognize when a decision requires additional review or human expertise.

 

These aren’t scripted demos. SCOUT is probabilistic, so responses may vary—and that’s part of what we’re testing during Early Access.

As we learn more, we’ll add real examples showing how SCOUT responded, where it succeeded, and where we found opportunities to improve.

 

Trust the Source, Not Just the Answer

SCOUT can make mistakes. That’s why answers grounded in university knowledge include citations whenever possible.

Use those citations to see where the information came from, read the original source, and verify important guidance before acting on it.

If something looks wrong, use the thumbs up/down controls to flag the response for review.