Human and AI Agent Collaboration in Higher Education: A Real-World Demo
Introduction
Artificial intelligence is evolving from standalone automation tools into collaborative systems where AI agents and humans work together to manage complex operational processes.
In higher education, this shift presents opportunities to improve service delivery while maintaining strong governance and oversight.
Demonstration
Watch the video walkthrough (approx. 11 minutes)
In this demonstration, Microsoft expert Dani Kahil walks through Bayshann’s CPP Accelerator, showing how AI agents and human reviewers collaborate to manage Commonwealth Practicum Payments (CPP) within a university environment.
The walkthrough focuses on a practical use case where document-heavy processes can be redesigned to reduce administrative workload, improve turnaround times, and lower compliance risk using a human-in-the-loop approach.
Context for the Demonstration
The example shown in the video focuses on managing Commonwealth Practicum Payments (CPP) — a program designed to support eligible students undertaking mandatory placements in areas such as nursing, teaching, and social work.
Administering CPP requires universities to verify student eligibility, review supporting documentation, and maintain clear compliance records. These processes are often highly manual and can involve significant administrative effort.
The CPP Accelerator demonstrates how AI agents can assist with document interpretation, eligibility reasoning, and workflow orchestration while ensuring that human reviewers remain responsible for final decisions and oversight.
What This Demonstration Covers
Human and AI Collaboration
The accelerator demonstrates how AI agents support operational tasks while human reviewers maintain decision authority. AI assists with analysing documents, identifying patterns, and preparing information, while staff retain oversight and final judgement.
AI Capabilities Used in the Process
The solution illustrates several AI capabilities including:
Document understanding and extraction
Eligibility reasoning
Authenticity and anomaly signals
These capabilities allow institutions to reduce manual document handling while maintaining transparency and control.
Responsible AI by Design
The accelerator has been designed with responsible AI principles in mind. Key features include:
Auditability
Transparency in automated decisions
Human oversight in critical steps
Operational guardrails
This ensures institutions can introduce AI safely within existing governance frameworks.
High-Level Architecture
The solution is built using Microsoft’s Power Platform, combining:
Power Pages
Power Apps
Power Automate
Dataverse
Copilot Studio
Together these components support an integrated digital service where AI agents assist staff while keeping humans fully in the loop.
About Bayshann’s Accelerators
The CPP Accelerator is part of Bayshann’s portfolio of higher education accelerators, designed to modernise key student and academic processes using governed digital platforms and AI-assisted workflows.
Our accelerator portfolio includes solutions for:
Commonwealth Practicum Payments (CPP Accelerator)
Academic Credit Management / Recognition of Prior Learning (RPL Accelerator)
Scholarships Management (Scholarships Accelerator)
Student Relationship Management (Student Relationships Accelerator)
Direct Student Applications (Direct Application Accelerator)
Each accelerator is designed to help institutions modernise operational services while maintaining strong governance, transparency, and human oversight.