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Guidance for Automating Tasks Using Agents for Amazon Bedrock

Overview

This Guidance demonstrates how to build on existing enterprise resources to automate tasks associated with the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock. Your Amazon Bedrock-powered insurance agent can assist users by creating new claims, sending pending document reminders, gathering claims evidence, and searching across existing claims and knowledge repositories. This Guidance enhances operational efficiency, improves customer service, and enables better decision support through improved knowledge management while efficiently scaling to meet your needs.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

Download the architecture diagram

Well-Architected Pillars

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

Amazon Bedrock streamlines operations through natural language understanding, automating tasks and reducing manual effort. Agents for Amazon Bedrock leverages high-performing models to comprehend inquiries and orchestrate multi-step tasks efficiently. Agents for Amazon Bedrock also integrates with existing systems through API calls to automate interactions. Knowledge Bases for Amazon Bedrock provide managed RAG to generate accurate responses.

Additionally, automating resource provisioning with AWS CloudFormation ensures consistent deployments, reducing configuration errors. Amazon DynamoDB offers low-latency performance for storing claims data, handling high throughput responsively. AWS Lambda runs business logic using a serverless approach, ensuring scalability and reliability without infrastructure management.

Read the Operational Excellence whitepaper 

Amazon Bedrock helps ensure data confidentiality, integrity, and availability through encryption, access controls, and secure data handling practices like anonymization and masking. DynamoDB provides secure claims data management with access controls, encryption, and automated backups. AWS Identity and Access Management (IAM) enables secure authentication and authorization, managing permissions and access to resources. Lambda minimizes the attack surface by running functions in isolated environments with IAM integration. OpenSearch Service offers encryption, access controls, and authentication mechanisms for data protection, while Amazon Simple Notification Service (Amazon SNS) facilitates secure communication for notifications.

Read the Security whitepaper 

CloudFormation automates provisioning, enabling reliable and consistent infrastructure creation. DynamoDB offers high availability, durability, and automatic failover for data accessibility. OpenSearch Service provides data replication and fault tolerance for availability. Amazon SNS offers scalable and durable messaging for reliable notifications, and Amazon S3 helps ensure high durability and availability for stored data with redundancy and data protection.

Read the Reliability whitepaper 

Amazon Bedrock provides high-performing FMs accessible through an API, enabling efficient generative AI application development and scaling without manual optimization. CloudFormation enables rapid deployment and scaling of infrastructure components, minimizing deployment time. DynamoDB offers a fully managed NoSQL database service with low-latency data access for efficient claims data handling. OpenSearch Service optimizes search and analytics performance with efficient indexing and processing of large data volumes.

Read the Performance Efficiency whitepaper 

As a managed service, Amazon Bedrock optimizes costs by eliminating infrastructure provisioning needs. DynamoDB offers on-demand capacity and auto-scaling, eliminating over-provisioning. Amazon OpenSearch Serverless scales based on demand without additional infrastructure costs. Amazon S3 provides cost-effective storage with lifecycle policies for transitioning data to lower-cost tiers.

Read the Cost Optimization whitepaper 

CloudFormation automates infrastructure management, reducing resource wastage. DynamoDB scales automatically based on demand, minimizing energy consumption. Lambda dynamically allocates resources, eliminating idle servers and reducing energy usage. Additionally, Amazon SNS facilitates sustainable communication by providing efficient and scalable messaging capabilities, reducing resource overhead and energy consumption associated with traditional messaging systems.

Read the Sustainability whitepaper 

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.