Delia Nuñez
Manual and inefficient review processes that were prone to error
Prior to implementing Oscilar, Coast struggled with three core problems that were slowing down their operational processes and impacting efficiency.
Manual Monitoring Post-Onboarding: Coast's process for monitoring user behavior after onboarding customers was manual and inefficient. They used manual processes for data dumps and reviews, which was time-consuming and prone to errors.
Lack of Systematic Feedback Mechanism: They had no effective system for logging reasons behind decisions on user risk assessments. This made it difficult to systematically track and reassess past decisions.
Ineffective Transaction Monitoring: Due to the manual nature of their process, transaction monitoring was labor-intensive and ineffective in identifying risks, leading to potential oversight in user behavior analysis.
Automated reviews and a feedback loop that made case management a breeze
In addressing Coast's challenges, Oscilar emerged as a pivotal partner, delivering a tailored, low-code platform that transformed Coast's approach to fraud management and operational workflows.
This collaboration introduced a sophisticated case management system, marking Coast as Oscilar's inaugural case management client.
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.
A 75% decrease in time spent on case management
The partnership between Coast and Oscilar significantly improved Coast's fraud detection process and operational efficiency. By implementing Oscilar's platform, Coast reduced the time spent on manual reviews from 2 hours per person per day to under 30 minutes. This efficiency gain is partly due to a feedback loop that eliminates the need to start from scratch when reviewing companies that reappear within a short period. As a result, there was a 75% reduction in time spent on these processes.
The system's impact extends to fraud and credit workflows, managed by a small team, demonstrating the platform's ability to streamline complex processes. The ability to directly extract and analyze data from Oscilar has made strategy evaluation more straightforward, allowing Coast to quickly identify and adjust to false positives and effectively manage risk levels.
Finally, the integration capabilities of Oscilar's system support a full lifecycle approach to case management, from testing to deployment, without the need for additional manual review staff. This approach has saved significant hours in case management and engineering, highlighting the platform's comprehensive support and ease of use.
>750hrs
saved per year
75%
manual review time cuts
Automate 90% of your risk decisions
Make better decisions with ML models tailored to your data
60+ pre-built integrations with popular data sources