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When it comes to being customer centric, banks have an advantage: a trove of data, everything from transaction histories, product usage, and risk profiles to online searches and campaign responsiveness. But they also have disadvantages: legacy technology, data scattered across the organization, silos instead of synergies. This makes it hard to create a comprehensive customer view—let alone to leverage AI in banking solutions.
A&C addresses these challenges head-on, making it simpler to bring data into a single platform, apply the latest technology for AI in financial services, and reach out to the right customer with the right action, when and where it matters.
Use cases
Risk scoring and loan underwriting
Risk scoring and loan underwriting
Risk scoring and loan underwriting
Out AI models help lenders assess creditworthiness accurately and efficiently by analysing wide range of data including credit history, financial statement, generating risk profile. We result in significant reduction of default rates, improve profitability, and enhance customer satisfaction.
Fraud detection
Risk scoring and loan underwriting
Risk scoring and loan underwriting
Our model analyses massive amounts of transaction data in real-time to identify fraudulent patterns and anomalies. We enable banks to detect and stop credit card fraud, while reducing false positives. Banks can protect their customers, reduce financial losses, and maintain their reputation.
Loan default prediction
Auto insurance claims adjudication
Auto insurance claims adjudication
Loan default prediction is a crucial task for banks and financial institutions to ensure that they can manage their risk and maximise their return on investment. Our AI-models help banks to identify high-risk borrowers and reduce the likelihood of loan default, ultimately improving their overall profitability and minimising risk.
Auto insurance claims adjudication
Auto insurance claims adjudication
Auto insurance claims adjudication
Auto insurance claims adjudication involves processing and validating insurance claims, which can be time-consuming and prone to errors. Our AI models help automate and improve the claims adjudication process by reducing processing times, minimising human error, and improving customer satisfaction. We help insurers to accurately identify fraudulent claims, automate claim assessment and adjudication, and provide personalized services to customers.