Build an end-to-end RFI questionnaire workflow using Amazon Quick Automate

Organizations handling numerous RFI questionnaires face operational challenges due to the complexity and volume of these documents. Amazon Quick Automate offers a solution by automating the extraction, structuring, and output of questionnaire data, streamlining the process from ingestion to structured CSV output.

The process begins with connecting Amazon Quick Automate to an Amazon S3 bucket containing the RFI workbooks. Users then create an automation project, describing their processing logic in plain language, which the AI interprets to generate an executable workflow. This workflow reads the multi-tab Excel files, extracts questions along with their categories and response types, and structures the data into a CSV format.

The article details the setup steps, including creating IAM roles for secure access, configuring S3 connectors, and establishing automation groups. It emphasizes the importance of validating workflows through iterative refinement and testing before promotion to production environments.

This approach enables organizations to respond faster to RFIs, minimizes formatting errors, and adapts easily to new questionnaire formats by updating natural-language instructions. The tutorial demonstrates the entire process, from environment setup to workflow deployment, and discusses extending this automation to other business scenarios such as document processing and survey data aggregation.