Coast Cuts Manual Review Time by 75% and Transforms Operational Efficiency

This feature automated the routing of cases for deeper analysis, streamlining the review process with the ability to tag and manage multiple cases effectively. Through Oscilar's generative AI, the system not only simplifies case assignments but also applies predictive analytics and natural language processing to improve the precision of fraud detection and risk evaluations.

Key strategic implementations included:

Generative AI Capabilities

Oscilar's generative AI capabilities played a pivotal role in transforming Coast's approach to fraud detection. By generating predictive models and simulating various fraud scenarios, Oscilar provided Coast with advanced insights and foresights into potential fraud activities.

Efficiency and Independence

The introduction of case queues and auto-assignment based on criteria enabled Coast to onboard entry-level case managers who could operate independently from analysts, significantly speeding up their operational processes.

Case Management Customization

Coast benefited from a system that allowed for detailed review and debugging of cases, bulk management capabilities, and efficient case assignment.

Manual Review Workflow Rules

These rules automatically assign cases for a second look and allow for tagging and multi-select actions, streamlining the review process.

Notations and Custom Fields

Coast can now add notes and custom fields to cases, sharing crucial information across cases for the same fleet ID, which aids in classifying and prioritizing cases more effectively.

Flexible Data Consumption

Oscilar’s flexible schema allowed Coast to consume data from various sources, manage diverse workflows, and analyze detailed information on specific fleets, enhancing their ability to detect and respond to fraud quickly.