TL;DR:
- Shell Business Mobility extends collaboration with the ai Corporation to combat fraud.
- ai’s Autopilot Machine Learning (APML) technology automates anti-fraud system optimization.
- The RiskNet fraud management platform and expert analysts enhance fraud detection.
- ai’s suite of fraud management products mitigates various fraudulent activities.
- The partnership has delivered prime fraud prevention for Shell’s fuel card portfolio for nearly a decade.
- APML maintains transaction detection effectiveness and adapts to new fraud patterns.
- This automation is particularly effective against fast-evolving fraud schemes.
- Increased fraud detection, higher transaction acceptance, and value-added services result.
- Piers Horak, Chief Commercial Officer at ai, expresses excitement about the extended collaboration.
Main AI News:
In an exciting development for the world of business security, the ai Corporation (ai) is reinforcing its collaboration with Shell Business Mobility to fortify the protection of Shell Card users against fraudulent activities. This strategic partnership leverages ai’s pioneering Autopilot Machine Learning (APML) technology, which stands at the forefront of cutting-edge innovation. APML takes center stage as it automates the optimization of anti-fraud systems, synergizing with the already formidable RiskNet fraud management platform. Backed by a team of seasoned expert analysts, this collaboration is set to usher in a new era of heightened fraud detection and prevention for Shell.
ai Corporation’s arsenal includes a suite of distinctive fraud management products and alerting services that play a pivotal role in empowering the global energy giant to mitigate the impact of fraudulent activities. This comprehensive suite tackles various forms of deceit, such as card cloning, card swapping, skimming, and the crucial task of preempting fraud before it can even manifest. The fruitful partnership between Shell’s dedicated Fraud Management team and ai Corporation has yielded nearly a decade of prime fraud detection and prevention functionality across Shell’s extensive fuel card portfolio.
The real game-changer here is ai’s Autopilot Machine Learning, which substantially enhances Shell’s fraud monitoring capabilities. It accomplishes this feat by perpetually fine-tuning transaction detection strategies and autonomously optimizing anti-fraud systems. Whenever system performance experiences a dip or novel fraud patterns emerge, this dynamic technology comes into play. It diligently develops, tests, and deploys new models and rules with remarkable efficiency.
This automated system’s prowess is particularly evident when it comes to combatting fast-evolving fraud schemes. By detecting a greater number of fraudulent transactions and simultaneously increasing transaction acceptance rates, it empowers fraud managers to delve into more intricate cases. Additionally, it offers value-added services to customers, solidifying its standing as a holistic solution to fraud prevention.
Piers Horak, Chief Commercial Officer at ai, expressed his delight, saying, “ai is thrilled that Shell Business Mobility has chosen to extend our service and technology collaboration, enhancing the protection we provide for their fuel card business. Our automated machine learning solutions furnish our clients with a secure and dependable shield, enabling them to concentrate on their core operations while entrusting transaction security to us. We eagerly anticipate continuing to deliver unequivocal business value to Shell and their esteemed customers, both within Europe and beyond.”
Conclusion:
This strengthened collaboration between Shell and ai Corporation represents a significant advancement in the business security landscape. With the integration of cutting-edge technology and expert analysis, it marks a proactive approach to combatting fraudulent activities. This not only safeguards Shell and its customers but also sets a benchmark for the broader market, highlighting the importance of automated fraud prevention solutions in an ever-evolving threat landscape.
