Invoice processing with Bedrock Data Automation and Flows

You can replicate your invoice processing workflow using AWS services, with Amazon Bedrock Data Automation (BDA) as the core component for invoice processing. Here's how you could build this solution:

1. Invoice Ingestion:

• Instead of monitoring Dropbox, you can use AWS Transfer Family with SFTP connectors to upload invoices to an Amazon S3 bucket
• Alternatively, you could set up Amazon SES to receive invoices via email, extract PDF attachments, and upload them to S3

2. Invoice Processing with Amazon Bedrock Data Automation:

• BDA simplifies data extraction from unstructured documents like invoices
• It can extract, normalize, and validate data (net, total, company, address, etc.)
• You can customize the output format to meet your specific needs

3. Workflow Orchestration:

• AWS Step Functions can orchestrate the entire workflow
• When a new invoice is uploaded to S3, an S3 event triggers an EventBridge rule that invokes the Step Functions workflow

4. Invoice Validation and Classification:

• Use Amazon Bedrock with foundation models like Claude to:
• Validate invoice addresses
• Classify invoices based on content (e.g., "Business Operations" for accounting)
• Amazon Textract can be used for initial text extraction from documents

5. Data Storage and Reporting:

• Store extracted invoice data in DynamoDB for reporting
• For Google Sheets integration, you would need to build a custom connector using AWS Lambda functions and the Google Sheets API
• Alternatively, you could use Amazon QuickSight for visualization and reporting directly from DynamoDB

6. Notification System:

• Use Amazon SNS to send notifications about processed invoices or any validation issues

This serverless architecture would automatically scale with your invoice volume while maintaining processing accuracy. The solution leverages AWS's enterprise-grade security and can be configured to run within your Virtual Private Cloud with appropriate IAM roles for access control.

While AWS doesn't have native connectors for Dropbox or Google Sheets, you can build custom integrations using AWS Lambda functions. Alternatively, you might consider migrating to AWS-native storage and reporting solutions for a more streamlined architecture.
Sources
Simplify and automate bill processing with Amazon Bedrock | AWS Architecture Blog
Maximize the value of your SAP data using Amazon Q Business and Amazon Bedrock Generative AI – Part 1 | AWS for SAP
New Amazon Bedrock capabilities enhance data processing and retrieval | AWS News Blog
Transform Invoice Processing and Drive Innovation with Amazon Bedrock: A Holcim Success Story | AWS for Industries