Sep 2026· International Journal of Innovative Science and Research Technology· 0 citations· 12 references
TL;DR
It is concluded that the distance between voluntary framework guidance and auditable management-system requirements can be closed for SMEs by a small, clause-mapped control set with explicit evidence requirements, and that the principal remaining barrier is threshold calibration rather than control selection.
Abstract
Small and medium-sized enterprises (SMEs) are deploying large language model (LLM) features without the
governance capacity of larger firms. This paper synthesizes the NIST AI Risk Management Framework (AI RMF 1.0) and
its 2024 Generative AI Profile with ISO/IEC 23894:2023 and ISO/IEC 42001:2023 to produce a concise, citable one-page
checklist mapped to auditable clauses. The artifact was developed under a design-science method using a structured, rulegoverned mapping protocol applied to the two standards and to the official National Institute of Standards and Technology
- NIST crosswalks. Organized by the RMF functions (Govern, Map, Measure, Manage), the result is a set of sixteen
minimum-viable controls, each mapped to specific ISO/IEC clauses, together with a gap analysis contrasting typical SME
practice with framework expectations, a framework crosswalk matrix, and a risk-lifecycle role allocation. The artifact
further contributes a worked example of release-gate thresholds, a procedure for deriving local gate values from a measured
baseline, and a lightweight eight-to-twelve-week validation plan suited to resource-constrained organizations. The example
threshold values are illustrative and have not been empirically validated. We conclude that the distance between voluntary
framework guidance and auditable management-system requirements can be closed for SMEs by a small, clause-mapped
control set with explicit evidence requirements, and that the principal remaining barrier is threshold calibration rather than
control selection. The significance is practical: SMEs obtain a short and defensible route from RMF guidance toward
ISO/IEC 42001 certification practices. Empirical validation across multiple SMEs is planned as future work.
The results provide preliminary evidence that regulatory disqualification logic, particularly K.O. criteria, can prevent the selection of technically competitive models that nonetheless pose unacceptable compliance risks, demonstrating the feasibility of governance-oriented LLM selection in software engineering project...
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