Simplify campus housing analysis in higher education using Amazon Quick

The challenge

Housing operations teams at colleges and universities manage a complex web of data that spans occupancy tracking, facilities maintenance, financial performance, and student accommodation requests.

Staff members must navigate multiple disconnected systems to answer routine questions—from current occupancy rates and residential life programming effectiveness to maintenance backlogs and budget variances.

Even straightforward inquiries require manual referencing across spreadsheets, work order systems, and student databases. This fragmentation slows response times and limits the team's ability to make proactive, data-informed decisions.

The solution

The Quick chat agent provides instant assistance for housing advisors through open-ended conversations about unified housing data.

To set up the Quick chat agent:

1. Configure Quick data access to various types of housing and residential life data. When you use single sign-on, Quick aligns with the role-based access control to these sources. For more information, see Identity and access management in Quick.

2. Create a space to allow governed use of the information. Only permitted users and groups can access the space’s contents.

3. Create a chat agent that’s tailored for university housing and residential life inquiries and has the required instructions and guardrails. Share the chat agent with the users and groups who you want to use it.

Result: What previously required hours of cross-system research is reduced to a single conversation, empowering housing teams to spend less time hunting for data and more time serving students.

Conceptual solution architecture

Quick spaces allow governed access to information in various formats.

Quick knowledge bases support natural language, semantic-based interactions with various types of documents.

Quick chat agents combine instructions, specialized knowledge, and guardrails to support answering questions in a defined domain.

For more information, see Amazon Quick - AI assistant. Also, check out the Quick user guide.