C3.ai Fraud Detection™ pinpoints patterns in event data streams that identify revenue leakage or maintenance and safety issues so investigation teams can act upon a single, continuously updated, and prioritized queue of leads.
Analyze multiple data systems including customer data, network anomalies, previous work activity, device telemetry, billing and payment history, and tip-line reports.
Quickly identify instances of revenue loss with dashboards showing the location, details, likelihood, and estimated value of theft cases.
Pinpoint non-technical loss with machine learning algorithms that correlate prior issues of loss and theft with near real-time updates to provide the most accurate predictions of ongoing malfeasance.
Assign prioritized leads to field investigation teams to confirm and resolve theft and loss cases.
Increase the accuracy of lead prioritization to identify and track new modes of theft using validated field investigation results.
Forecast the financial impact of identified and verified cases to field and office operations.
Enhance revenue recovery by identifying high-likelihood and high-value fraud detection leads, and continuously improve the quality of leads over time.
Reduce investigation and case review costs through accurate issue identification, rapid prioritization, efficient investigation scheduling, and robust reporting capabilities.
By analyzing data from multiple systems and applying advanced machine learning algorithms, C3.ai Fraud Detection detects non-technical loss, quantifies the amount of revenue and loss at stake, and prioritizes leads for investigation.
C3.ai Fraud Detection tracks and manages leads through the entire life cycle of investigation, confirmation, and closure so that investigators can identify trends and develop long-term revenue assurance plans.
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