Agentic use cases for financial services

With the right agentic foundations in place, financial services organizations can take advantage of autonomous AI agents across a variety of high-impact use cases, including fraud detection and prevention, customer service automation, portfolio optimization and advisory and code modernization.

Fraud detection and prevention

Your fraud team faces an impossible task: analyzing millions of transactions in real-time while fraudsters constantly evolve their tactics. AI agents change the equation.

Real-time transaction monitoring leverages Claude in Bedrock to process millions of transactions per second with sub-100ms response times. The architecture combines Bedrock's streaming inference with Amazon Kinesis Data Streams (opens in new tab) to analyze transaction patterns, merchant profiles, and customer behavior instantly. AWS Lambda (opens in new tab) triggers Claude's analysis on high-risk transactions while Amazon DynamoDB (opens in new tab) maintains real-time fraud scores, enabling instant decisions that balance security with customer experience.

Pattern recognition and anomaly detection extends beyond traditional rule-based systems through Claude's multi-dimensional analysis capabilities. Using Bedrock's batch inference, Claude analyzes historical data in Amazon Simple Storage Service (opens in new tab) (Amazon S3) to identify emerging fraud patterns, then deploys these insights through real-time monitoring agents. The system incorporates unstructured data—i.e. customer communications, social media signals and dark web intelligence—creating an adaptive fraud detection network.

Customer service automation

Your service team knows every customer interaction shapes loyalty. AI agents help deliver the instant, personalized service customers expect.

Intelligent routing and resolution reduces support resolution times by understanding customer intent from first contact. Specialized Claude agents handle different service areas, including account inquiries, disputes and loan applications, with Amazon Connect (opens in new tab) routing customers to the right agent immediately. The system analyzes previous interactions, account status and real-time sentiment to provide comprehensive context before conversations begin.

Omnichannel support maintains consistent experiences across all touchpoints. Bedrock's unified API deploys a single Claude agent that preserves context across channels: Amazon Lex (opens in new tab) for voice, Amazon Pinpoint (opens in new tab) for mobile and AWS AppSync (opens in new tab) for real-time synchronization. Customers can start a mortgage application on mobile and seamlessly continue with a branch representative, with Claude maintaining full context and preparing documentation via Textract.

Escalation and human-in-the-loop design ensures smooth handoffs for complex issues. Amazon Connect monitors sentiment and complexity scores, triggering escalation workflows when needed. Claude prepares detailed summaries including history, attempted resolutions, and recommendations, while Lambda functions enable real-time expert guidance without interrupting the customer experience.

Portfolio optimization and advisory

Not every client gets access to your best advisors. AI agents help you deliver institutional-quality advice at scale.

Personalized investment strategies combine market analysis with individual client circumstances. Claude agents integrate client data from CRM systems, market feeds via AWS Data Exchange (opens in new tab) and macroeconomic indicators to generate customized proposals. The system explains complex concepts in accessible language, automatically generating client-ready reports with clear reasoning, backtested performance, and risk scenarios.

Risk assessment and rebalancing becomes continuous and intelligent with 24/7 portfolio monitoring. Amazon EventBridge (opens in new tab) triggers Claude's analysis based on market events or client changes, evaluating thousands of scenarios using Monte Carlo simulations. Claude explains recommendations considering tax implications, transaction costs, and client constraints (stored in RDS) while maintaining audit trails in Amazon S3.

Compliance and regulatory adherence embeds directly into advisory agents. Bedrock's private endpoints deploy Claude agents fine-tuned on specific compliance policies. Pre-trade compliance validates proposed trades against mandates, restrictions, and risk limits while automatically generating required documentation including MiFID II reports.

Code modernization and legacy system migration

Your COBOL systems work—they're just impossible to maintain. AI agents help you modernize gradually without risking critical operations.

COBOL to modern language translation goes beyond syntax conversion to preserve business logic while modernizing architecture. Claude agents translate code while understanding embedded functionality, managing version control, and generating test suites.

Mainframe to cloud transitions accelerate through comprehensive ecosystem analysis. Claude agents work with AWS Mainframe Modernization (opens in new tab) service to map datasets to Amazon S3, convert legacy transaction systems into containerized microservices and transform batch jobs to workflows.

Documentation and knowledge preservation captures decades of embedded expertise. Claude analyzes existing documentation, code comments, and runbooks, synthesizing information into knowledge bases. Interactive sessions with experts generate technical documentation, architectural diagrams, and training materials, ensuring successful knowledge transfer across technology generations.