Review & Assessment Powered by Intelligent Documentation (RAPID)
RAPID is a document review solution powered by generative AI (Amazon Bedrock). It streamlines review processes involving extensive documents and complex checklists using a Human in the Loop approach. It supports the entire process from checklist structuring to AI-assisted review and final human judgment, reducing review time and improving quality.
Key Features
- Checklist Structuring: Automatically structures complex checklists into AI-understandable formats
- AI-Powered Document Review: Leverages Amazon Bedrock to automatically analyze and evaluate document content
- Human in the Loop: Framework for humans to review and modify AI judgment results
- Review Result Visualization: Displays review results in an easy-to-understand format to support efficient verification work
- Batch Processing Support: Capable of processing large volumes of documents in batches
- Customizable: Checklists can be customized according to industry and use case requirements
Key Use Cases
Product Specification Compliance Review
Efficiently verify that product development specifications meet requirements and industry standards. Automate the process of comparing thousands of specifications annually against hundreds of checkpoints. AI extracts and structures relevant information from specifications, visualizing compliance results. Reviewers can efficiently perform final verification.
Technical Manual Quality Verification
Verify that complex technical manuals comply with internal guidelines and industry standards. Support the process of comparing tens of thousands of pages of technical documentation annually against thousands of quality criteria. Automatically detect missing technical information and inconsistencies, supporting the creation of consistent, high-quality manuals.
Procurement Document Compliance Verification
Check that procurement documents and proposals meet necessary requirements. Automatically extract required information from documents spanning hundreds of pages, streamlining thousands of document reviews annually. Improve procurement process speed and accuracy by having humans verify compliance results against requirement lists.
Parameter Settings
You can configure the following parameters during deployment:
- NotificationEmailAddress: Email address to receive deployment notifications
- AllowedIpV4AddressRanges: IPv4 address ranges allowed for access (JSON array format)
- AllowedIpV6AddressRanges: IPv6 address ranges allowed for access (JSON array format)
- DisableIpv6: Whether to disable IPv6 support (default: false)
- AutoMigrate: Whether to automatically run database migration during deployment (default: true)
- CognitoSelfSignUpEnabled: Whether to enable self-signup functionality for Cognito User Pool (default: true)
- CognitoUserPoolId: Existing Cognito User Pool ID (creates new if empty)
- CognitoUserPoolClientId: Existing Cognito User Pool Client ID (creates new if empty)
- CognitoDomainPrefix: Cognito domain prefix (auto-generated if empty)
- McpAdmin: Whether to grant administrator privileges to MCP runtime Lambda function (default: false)
- RepoUrl: Repository URL to deploy
- Branch: Branch name to deploy (default: main)
- GitTag: Git tag name to deploy (takes priority over branch if specified)
Security Considerations
For production use, the following security measures are recommended:
- IP Restrictions: Use
AllowedIpV4AddressRanges
andAllowedIpV6AddressRanges
to restrict access to specific IP addresses - Disable Self-Signup: Set
CognitoSelfSignUpEnabled
tofalse
and have administrators create users - Proper Access Control: Implement appropriate access controls when handling sensitive documents
Post-Deployment Setup
After clicking the deployment button, you will receive an email titled AWS Notification - Subscription Confirmation
. Click the Confirm subscription
link to start receiving deployment start and completion notifications.
When deployment is complete, you'll receive a notification email containing:
- Frontend URL: URL to access the application
- API URL: API endpoint URL
- Amazon Bedrock Model Access Setup: Instructions for enabling access to required models
- Anthropic Claude 3.7 Sonnet
- Amazon Nova Premier
- User Creation Instructions: How to create users when self-signup is disabled
- Configuration Information: Confirmation of parameters specified during deployment
How to Use
- Create Checklists: Create and upload checklists to be used for reviews
- Upload Documents: Upload documents to be reviewed to the system
- Execute AI Review: System automatically analyzes documents and compares them against checklists
- Review and Modify Results: Humans review AI results and make corrections as needed
- Final Approval: Finalize review results and generate reports
Resource Removal
To remove deployed resources, delete the RapidStack
and RapidDeploymentStack
stacks from the CloudFormation console.