Core problems with Traditional methods of fraud case management faced by the industry:
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CHALLENGE 01
Lack of Visibility & Tracking
Organisations struggle to track the volume and types of fraud cases, especially those retained or referred back, leading to inefficiencies, increased costs, and poor customer experiences.
Manual & Inefficient Processes
Fraud investigation teams rely on manual, inefficient processes, such as copying and pasting data into multiple systems, resulting in inflated caseloads and slow case resolutions.
Quality & Case Analysis Challenges
Difficulties in reviewing fraud case analyses and tracking fraud handlers' work quality lead to inefficient case reviews and poor decision-making.
Communication & Case Prioritisation Issues
Urgent cases are manually managed without prioritisation, and identifying linked fraud cases is time-consuming and labor-intensive.
System Integration & Intelligence Management Gaps
Lack of a centralised intelligence hub makes storing and reviewing fraud-related intelligence difficult. Additionally, visual tools for identifying linked claims are absent.
Lack of Data Mining & Referral Feedback Tools
No feedback tool exists to evaluate the value of referrals or intelligence. Searching for linked entities within multiple fraud cases is cumbersome due to reliance on external data feeds.