Azure Multi-Agent Architecture | Booth School of Business

Home > Resource > Case Study > Booth School of Business — Building a Multi-Agentic System on Microsoft Azure

CASE STUDY

Booth School of Business: Building a Multi-Agentic System on Microsoft Azure

Industry | Education

Technology | Microsoft Azure

Location | United States

The Booth School of Business at the University of Chicago recognized the need to modernize how internal support services were delivered. IT teams were stretched thin. Faculty needed faster, more reliable assistance. Meanwhile, isolated AI experiments were emerging across departments—lacking oversight, consistency, and alignment with institutional data security policies.

To address these challenges, Booth partnered with Royal Cyber to design and implement a centralized, enterprise-grade AI agent platform. Built entirely on Microsoft Azure, the system was purposefully designed for Booth’s IT environment. It streamlines repetitive support tasks, intelligently routes queries, and ensures that administrative control remains firmly with the university.

Challenges

High Volume of Repetitive Support Requests: Booth’s IT service desks were inundated with routine tickets, significantly slowing resolution times and limiting bandwidth for more complex needs.

Multiple Fragmented AI Initiatives: Each department ran its own AI study, yet without a common guide, the school faced growing pockets of inconsistency and potential compliance issues.

No Secure Path for AI Adoption at Scale: Booth required a framework that could support the responsible expansion of AI while maintaining strict controls over data privacy, access, and system integrity.

Key Outcomes

Strengthened data security posture

with a fully private Azure deployment, ensuring no public exposure and full compliance with institutional policies.

Eased the workload on IT teams

by managing repetitive, high-volume requests so they now focus on bigger, and more strategic priorities.

The volume of incoming tickets decreased

making daily operations run smoother and giving support staff more breathing room.

Solutions

An AI platform built for Booth on Microsoft Azure: Royal Cyber deployed a secure, multi-agent AI system tailored to Booth’s environment. It automates support interactions, routes requests using reasoning models, and integrates seamlessly with existing university systems.

Full Administrative Control with Role-Based Access: The platform enforces role-based access control (RBAC), enabling Booth’s IT team to govern who can interact with each agent or sub-agent—ensuring alignment with institutional policies.

Built to fit in, not replace: The system plugs into what Booth already uses—Okta SSO, TeamDynamix, LMS tools so, the experience feels seamless, not disruptive.

What Customers Say about Royal Cyber

Working on this project in the education sector was highly rewarding. The integration of secure, scalable AI agents significantly improved efficiency, response times, and innovation across departments.