TRACE Framework: framework reference brief
A pre-deployment evaluation framework for whether a task is structurally appropriate for AI agent delegation, before architecture decisions are made. Traceability, Reversibility, Acceptance criteria, Compliance mapping, Escalation pathway. Five pre-deployment checks for whether a task is structurally appropriate to hand to an AI agent, before architecture or vendor decisions are made. What this brief contains. The framework's reference diagram, the method and its application rule, and the citation record (version, first-published and last-revised dates). It is the printable form of the framework page at https://terencekok.com/frameworks/trace/, which remains the maintained version. Provenance and status. First published on terencekok.com on 17 June 2026; this brief is version 1.1, revised 12 September 2026. A practitioner framework, not a peer-reviewed publication. Licensed CC BY-NC 4.0.
Authors
- Terence Kok
Institutions
- Golden Gate University (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-12
- DOI
- https://doi.org/10.5281/zenodo.22722217
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 0.00