Streamline Certificate of Analysis Processing with Generative AI

End-to-End Automation and Integration

Once you’ve created blueprints, you can organize them into a BDA project. Each project can contain up to 40 blueprints, allowing you to handle multiple document types efficiently. When you submit a document for processing, BDA automatically selects the most appropriate blueprint based on its content. This enables automated processing across different ingredients, suppliers, and COA formats.

After a project is ready, you can integrate BDA into a workflow. For example, a delivery arrives at your facility. The driver hands a COA document to your facility manager. The facility manager uses a simple application to scan the document and save it to your company’s cloud environment. Saving the document triggers the workflow. The facility manager moves on to other tasks while the workflow orchestrates the necessary processing actions. Based on the BDA output and compliance calculation, the workflow can send the document’s compliance status to your facility manager, so they’ll know when the shipment is clear to unload.

Next Steps

Organizations can begin their COA automation journey by identifying high-volume ingredient categories that would benefit most from automated processing. Start with standardized COA formats from major suppliers, then expand to handle more complex document variations as the system matures.

By embracing generative AI, CPG manufacturers can transform their COA processing workflows, leading to more efficient operations, more flexible processes, reduced costs, and improved product quality assurance. In an increasingly complex marketplace, innovative technologies like BDA will play a crucial role in maintaining competitiveness and ensuring product safety.

To learn more about BDA, read the getting started guide, view the Guidance for Accelerated Intelligent Document Processing on AWS solution for a full-scale sample of an end-to-end document processing implementation, or contact AWS.