Build an end-to-end RFI questionnaire workflow using Amazon Quick Automate
Amazon Web Services Chaytanya Kumar
AWS showed how to turn messy RFI spreadsheets into a workflow with Amazon Quick Automate. It reads, sorts, and writes the answers for you, which should save a lot of manual back-and-forth.
Based on reporting by Amazon Web Services, Chaytanya Kumar — read the original for the full story.
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AWS is pitching Amazon Quick Automate as a way to tame one of those boring enterprise chores that quietly eats whole teams alive: the RFI questionnaire. These files usually arrive as chunky, multi-tab workbooks with nested question sets, category labels, and different response formats. If you’ve ever watched people retype the same answers into slightly different sheets, you already know why that gets ugly fast.
The company’s demo is simple enough to follow. It starts with an Excel workbook stored in Amazon S3, then uses Quick Automate to pull out the questions, preserve the category and response type, and write a cleaned-up CSV back to S3. AWS says the workflow can be built without custom code for common cases, and that the same approach can be refined through conversation before being promoted from a pre-production account to production or another AWS Region.
The setup still needs some plumbing. You need an Amazon Quick Enterprise subscription with Quick Automate access, an S3 bucket in the same AWS Region, and an IAM role that lets Quick Automate read and write the bucket. After that, you create an S3 action connector, add it to an automation group, and open an automation project where you describe the job in plain language. The prompt in the post asks the system to open a specific workbook, read a Strategy sheet, identify main questions and subquestions, and output columns for Serial Number, Category, Question, and Response Type.
From there, Quick Automate generates a multi-step workflow: read the workbook, extract and transform the data, structure the output, and save the result. AWS also says the assistant may produce slightly different wording from run to run, which feels like a polite way of saying the machine is making a plan, not drafting scripture. You then run the workflow, check that all questions were captured, that header text matches exactly, and that parent context is preserved for subquestions.
The final bit is the one businesses usually care about most: promotion. Once the workflow is validated, AWS lets you export that version, import it into a destination account or Region, and reconfigure whatever connectors or credentials that target environment needs. It’s a neat use of agentic automation, and also a reminder that half of enterprise AI is still just getting spreadsheets to behave.
My take — AI-written commentary, not fact-checked reporting
This is the right kind of automation: narrow, repetitive, and easy to verify. The industry talks a lot about agentic AI, but the real win is usually less glamorous — making a spreadsheet stop acting like a small disaster. AWS gets points for aiming at a boring problem instead of promising to reinvent procurement with vibes and a dashboard.
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