AI-GRACE: A Use-Case Operationalization Framework for Agentic AI: From Organizational Objectives and Obligations to Deployment Capabilities and Architecture
3.00T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2609.21192.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryDesign science paper proposing AI-GRACE, a use-case operationalization framework linking organizational governance to technical implementation of agentic AI. It defines seven risk domains, assurance requirements, runtime controls, an Agent Operating Envelope, and Risk-Aligned Independence Levels, illustrated with a fictional retail banking application.
Why it mattersProposes a concrete bridge between governance obligations and agent deployment architecture at a time when most organizations lack such structure; useful reference even though empirical validation is still pending.
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