AI-Powered Fraud Detection for a Global FinTech Firm

Problem:
A major FinTech company struggled with increasing fraud attempts and false positives in transactions, leading to high operational costs and customer dissatisfaction.

Solution:
We implemented AWS Bedrock with a custom-trained AI fraud detection model using Amazon SageMaker. The AI analyzed transaction patterns in real time, identifying suspicious activity while reducing false alarms.

Results:

• Reduced fraud incidents by 60% while improving detection accuracy

• Cut false positive rates by 45%, minimizing manual review time

• Saved $1.2M annually in fraud-related operational costs

Automating Medical Documentation with AI in Healthcare

Problem:
A healthcare provider struggled with manual patient documentation, leading to inefficiencies and increased administrative costs.

Solution:
We deployed an AWS GenAI-powered NLP system using Amazon Bedrock and AWS Transcribe Medical. The solution automatically transcribed and structured doctors' notes, improving workflow automation.

Results:

• Reduced documentation time by 80%, allowing doctors to focus on patients

• Improved accuracy in patient records by 95%

• Cut administrative costs by 50%, saving over $750K annually

AI-Driven Chatbot for E-Commerce Customer Support

Problem:
An e-commerce company faced long wait times and high customer service costs due to manual support handling.

Solution:
We integrated an AI chatbot using AWS Bedrock and Amazon Lex, enabling real-time, AI-powered responses for FAQs, order tracking, and return requests.

Results:

• Reduced customer service response time by 70%

• Saved $500K annually in call center costs

• Increased customer satisfaction scores by 40%