{"slug":"esure-personalizes-customer-experience-using-machine-learning-on-aws","url":"https://findausecase.com/use-cases/esure-personalizes-customer-experience-using-machine-learning-on-aws","title":"esure Personalizes Customer Experience Using Machine Learning on AWS","description":"UK insurer esure Group built a cloud-native platform on AWS using Amazon Connect and machine learning models to generate personalized insurance quotes and detect fraud, improving suspected fraud detection to 60% of incidents identified, up from 40% with its previous IT environment.","company":"esure Group","industry":"Insurance","country":"United Kingdom","aiCapabilities":["Recommendation & Personalization","Fraud & Anomaly Detection","Conversational AI"],"technology":["Amazon Connect Customer","Amazon S3","Amazon EKS"],"deployment":"Public Cloud","problemStatement":"esure’s previous on-premises infrastructure limited its ability to get the insights it needed from data to offer competitive pricing and a personalized customer experience.","solutionApproach":"esure built its cloud-native platform on AWS, using Connect Customer for its contact center and Amazon S3 for data storage and analysis, with predictive ML models processing millions of data points every second to generate tailor-made insurance quotes.","businessValue":"esure now detects 60 percent of suspected fraud incidents, up from 40 percent previously, can launch new products in months rather than years, and has reduced its overall IT costs.","evidence":{"band":"high"},"sourceUrl":"https://aws.amazon.com/solutions/case-studies/esure/","dates":{"publishedAt":"2026-10-02T05:46:36.748Z","publishedAtSource":"pipeline","updatedAt":"2026-10-02T05:46:36.748Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/esure-personalizes-customer-experience-using-machine-learning-on-aws. Bulk republication requires permission."}