A leading financial services provider needed to improve the accuracy and efficiency of its fraud detection system. With increasing volumes of transactions and growing sophistication in fraud tactics, the company required a solution to quickly identify and flag suspicious activities across multiple channels, including online banking, credit card transactions, and mobile payments.
Objectways delivered an AI-powered data annotation and fraud detection solution to enhance the client’s risk management and security capabilities:
With Objectways’ AI-enhanced fraud detection system, the financial services provider was able to reduce fraud losses by 35%. The real-time detection of suspicious transactions and anomalies improved the company’s ability to prevent fraud before it impacted customers. Additionally, the automated risk scoring and transaction monitoring system reduced the workload on human fraud analysts, enabling them to focus on complex cases.
Accurately identify and label fraudulent transactions, activities, and patterns within financial data.
Protect your financial institution from financial losses, maintain customer trust, and ensure compliance with regulatory requirements.
Annotating customer data with relevant features to improve credit scoring models and assess risk. .
Make more accurate and informed decisions regarding loan approvals, credit limits, and risk management strategies.
Labeling customer inquiries and responses to train chatbots and virtual assistants for automated customer service.
Enhance customer satisfaction, improve operational efficiency, and reduce costs by automating routine customer interactions.
Annotating financial news, social media posts, and other text data to gauge market sentiment.
Inform trading strategies, investment decisions, and risk management by understanding market sentiment and identifying potential trends
Labeling financial documents such as invoices, contracts, and receipts for optical character recognition (OCR).
Automate data extraction from documents, streamline processes, and reduce manual data entry errors.
Annotating historical trading data to identify patterns and signals.
Develop and refine trading algorithms that can make informed decisions and achieve better returns.
Labeling transactions and account behaviors that may indicate money laundering.
Enhance your AML systems, ensure compliance with regulatory requirements, and protect your financial institution from reputational damage and financial penalties.
Annotating loan applications and associated data with relevant features to improve underwriting models.
Make more accurate and consistent loan approval decisions, reduce risk, and improve customer satisfaction.
Labeling investment portfolio data to track performance, risks, and correlations.
Develop tools for better portfolio management, personalized investment advice, and risk mitigation.
Annotating data to ensure adherence to financial regulations and standards.
Automate compliance checks, reduce the risk of regulatory breaches, and protect your financial institution from fines and penalties.
Labeling transaction data to categorize spending, saving patterns, and financial goals.
Improve automated financial advice / budgeting tools.
Labeling insurance claims data with outcomes (approved, rejected, further investigation required).
Automate and streamline the claims processing workflow, reduce processing time, and improve customer satisfaction.
Annotating historical financial data for forecasting future trends and performance.
Improve predictive models for better financial planning and decision-making.
Labeling customer identification data to verify identities and ensure compliance with KYC regulations.
Streamline the KYC process, reduce the risk of fraud and money laundering, and comply with regulatory requirements.
Annotating tax-related documents for automated tax preparation and compliance.
Simplify tax processing, reduce errors, and ensure accurate tax filings.