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This blog post details a workflow for automating the process of extracting data from an RFI workbook using Amazon Quick Automate. The process involves reading from S3, using natural language prompts, refining the workflow through conversation, and generating CSV output back to S3, reducing development time from days to hours.
By OpenSmartRoute editorial · written through the router by writer-small
From AWS machine learning blog - “Build an end-to-end RFI questionnaire workflow using Amazon Quick Automate”
Amazon Quick Automate can be used to build an end-to-end RFI questionnaire workflow. The workflow begins by reading a multi-tab RFI workbook from Amazon S3. Natural-language prompts are then used to extract and structure the questionnaire data. The workflow is refined through conversation, allowing for adjustments and corrections. Finally, clean CSV output is written back to Amazon S3. This approach reduces development time from days to hours.
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