Amazon announced Amazon Quick Automate, a new tool designed to automate Request for Information (RFI) workflows, to help enterprises manage complex questionnaires efficiently. The tool is aimed at streamlining processes that involve handling hundreds of RFI questionnaires annually, which are typically stored in multi-tab workbooks with hierarchical data and varied response types.
The solution, which leverages natural language processing and automation capabilities, enables users to describe processing goals in plain language, allowing Amazon Quick Automate to generate an executable workflow covering ingestion, transformation, validation, and output. This approach is intended to reduce formatting inconsistencies and errors, while also enabling faster responses to RFIs.
Amazon Quick Automate is built on AWS infrastructure and integrates with Amazon S3 for data storage and retrieval. The tool is designed to scale with user workloads and can be adapted to new questionnaire formats by updating natural-language instructions. Users can refine workflows through conversation, validate results in pre-production environments, and promote validated versions to production.
"You describe your processing goals in plain language, and Quick Automate can produce an executable workflow covering ingestion, transformation, validation, and output," said an Amazon representative. The automation is intended to cut down on maintenance overhead and simplify business process management.
The announcement follows Amazon's ongoing efforts to enhance its machine learning and automation capabilities within AWS. Amazon Quick Automate is currently available in select AWS Regions, with availability expanding based on user demand. The tool is intended for enterprises looking to improve operational efficiency in procurement and data management processes.
Amazon did not specify exact pricing details for the tool, and the solution requires an Amazon Quick Enterprise subscription. The company also noted that the automation can be adapted to different RFI formats and workflows, though specific limitations or constraints were not outlined in the source.
Source: awsml
