Automated Academic Integrity Monitoring Workflow

Create a comprehensive automated workflow for detecting potential academic misconduct across digital assessment platforms. Design a multi-stage system that: 1) Performs real-time text similarity checks against academic databases, 2) Generates plagiarism risk scores, 3) Automatically flags suspicious submissions, and 4) Generates detailed forensic reports for academic review. Include machine learning models that can adapt to evolving plagiarism techniques and provide transparent, auditable decision-making processes.