C3 Fraud Detection
Identify fraud due to energy theft
C3 Fraud Detection
Identify fraud due to identity theft
C3 Fraud Detection
Identify fraud due to illegal healthcare claims
C3 Fraud Detection
Identify fraud due to employee misconduct
Identify Fraudulent Actors and Safeguard Revenues
C3 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.
Features
Executive dashboard
Access a summary of the work queue, operational performance, prioritized leads, and geospatial view of occurrences of theft or other loss.
Loss detection analytics
Detect physical and informational breaches and correlate unusual customer patterns with device diagnostics and operations to identify non-technical loss.
Advanced pipeline management
Identify and prioritize high-value and high-likelihood leads with increasing precision based on historical confirmed instances of theft or other loss.
Investigation management
Monitor and analyze identified leads, investigations in the field, and completed investigations, and review results.
Revenue reporting and monitoring
Present analyses and summarize results using preformatted and custom reports, including loss analysis, identified and realized value, and financial performance against budget.
Case Studies
Operating the Largest Production Deployment of AI and IoT Applications
AI applications including predictive maintenance and fraud detection for 44 million smart meters.
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Driving Network Efficiency and Fraud Detection Efforts
Advanced infrastructure and energy management across 2 million sensors and devices.
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Testimonials
Rosalba Russo
Product Owner Agile
“C3 Revenue Protection gives the opportunity to provide a software for people to use in the field.”
Fabio Veronese
Head of Infrastructure & Networks Digital Hub
“With C3.ai, we embarked on a platform journey – a widespread adoption of the platform-based model for machine learning and artificial intelligence.”
Benefits
Analyze
Analyze multiple data systems including customer data, network anomalies, previous work activity, device telemetry, billing and payment history, and tip-line reports.
Identify
Quickly identify instances of revenue loss with dashboards showing the location, details, likelihood, and estimated value of theft cases.
Pinpoint
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
Assign prioritized leads to field investigation teams to confirm and resolve theft and loss cases.
Increase
Increase the accuracy of lead prioritization to identify and track new modes of theft using validated field investigation results.
Forecast
Forecast the financial impact of identified and verified cases to field and office operations.
Enhance
Enhance revenue recovery by identifying high-likelihood and high-value fraud detection leads, and continuously improve the quality of leads over time.
Reduce
Reduce investigation and case review costs through accurate issue identification, rapid prioritization, efficient investigation scheduling, and robust reporting capabilities.
Data Sources
By analyzing data from multiple systems and applying advanced machine learning algorithms, C3 Fraud Detection detects non-technical loss, quantifies the amount of revenue and loss at stake, and prioritizes leads for investigation.
C3 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.
Proven results in weeks, not years
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