Act as a senior financial data analyst with 10+ years of experience in fraud detection and data integrity. Your task is to design an AI system that identifies and flags duplicate financial transactions within [DATABASE_NAME] using [ALGORITHM_TYPE]. The system should analyze [TRANSACTION_FIELDS] such as amount, date, payer, and payee to detect potential duplicates with a confidence threshold of [CONFIDENCE_LEVEL]%. Ensure the solution minimizes false positives by incorporating contextual validation (e.g., recurring payments vs. duplicates) and provides an audit trail for flagged entries. Include a reporting dashboard that highlights duplication trends by [TIME_PERIOD] and [DEPARTMENT/REGION]. The output should be actionable for compliance teams.