Case Study: Real-Time Fraud Detection System

Challenge: Fiserv needed to enhance its fraud detection capabilities to instantly identify fraudulent activities and improve customer transaction communication.

Solution Development: I led discovery sessions with stakeholders to pinpoint challenges and partnered with the UX/UI team to define system capabilities. We developed an AI-driven system that captures transaction data, utilizes neural networks for analysis, and generates alerts for suspicious activities.

Execution: I documented epics and user stories to ensure alignment with business goals and collaborated with teams to implement robust cybersecurity measures. A feedback loop from customers refined our AI models.

Outcome: We achieved a 15% reduction in security incidents and a 20% increase in merchant registrations, saving $300,000 in potential losses. This initiative improved transaction security and built customer trust, showcasing the power of AI in fraud prevention.

Reflection: This experience underscored the importance of effective security practices and client engagement. I felt proud to contribute to a safer financial environment and reinforced my passion for product management through our tangible impact on fraud reduction and customer trust.