Reproduce “AI-GRACE: A Use-Case Operationalization Framework for Agentic AI: From Organizational Objectives and Obligations to Deployment Capabilities and Architecture” on OpenResearch
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About this paper
John Cuneo, David Chun, Gaurav Khanna
AI-GRACE proposes a use-case assessment framework that traces organizational goals and obligations through risks to engineering requirements, capability gaps, and deployment decisions. It separates assurance tests, operational controls, and retained evidence, then assesses capability fit across four states. A fictional banking walkthrough permits engineering and evaluation, but not deployment; the framework’s effects remain empirically untested.
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