InvestiGuard AI

InvestiGuard AI is a multi-agent fraud investigation platform built for regulated and high-stakes financial workflows. Traditional fraud detection systems often provide risk scores with limited transparency, making investigations difficult to audit and explain. My solution uses Band to coordinate five specialized AI agents that collaborate throughout an investigation. The Intake Agent triages suspicious cases, the Transaction Analyst examines transaction patterns, the Behaviour Analyst reviews customer activity, the Risk Assessor evaluates evidence and calculates risk, and the Lead Investigator generates the final recommendation. Rather than relying on a single AI system, agents exchange messages, delegate tasks, share findings, and build upon each other’s analysis through a structured collaboration workflow. The platform visualizes this process through an Agent Collaboration Network, Band activity feed, evidence board, investigation timeline, and collaboration metrics such as handoffs, messages exchanged, active agents, and confidence scores. To support accountability, InvestiGuard AI includes a human-in-the-loop review stage where investigators can inspect evidence, review recommendations, approve or override decisions, and generate a complete audit report. The demo showcases multiple fraud scenarios including transaction structuring, suspicious international wire transfers, and legitimate high-value transactions. By combining multi-agent collaboration, explainable reasoning, human oversight, and auditable decision-making, InvestiGuard AI demonstrates how Band can power trustworthy AI systems for fraud detection, risk assessment, and financial compliance workflows.