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

Learn how to build an end-to-end RFI questionnaire workflow with Amazon Quick Automate. Read a multi-tab RFI workbook from Amazon S3, use natural-language prompts to extract and structure the questionnaire data, refine the workflow through conversation, and write clean CSV output back to Amazon S3 — cutting development from days to hours.
This is a short summary published by AI Global Wire. The full article is owned and hosted by AWS Machine Learning — open it there to read it in full.
Read the full story at AWS Machine LearningRelated AI news
- Amazon Quick is now generally available on desktopAWS Machine Learning · September 10, 2026
- Model-agnostic PII detection with LLMsAWS Machine Learning · September 10, 2026
- Agent Evaluation Metric for multi-turn conversationsAWS Machine Learning · September 10, 2026
- How AvioBook builds turnaround insights from operational data with Amazon Bedrock AgentCoreAWS Machine Learning · September 10, 2026
- Rebuilding AUTOMATIC1111 with Gradio WorkflowHugging Face · September 10, 2026
- Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLMAWS Machine Learning · September 9, 2026