The Decision Materiality Index: Public Overview

An overview of the Decision Materiality Index (DMI), a weighted, multi-dimensional instrument for assessing the financial, regulatory, and customer-impact materiality of decisions made or substantially influenced by AI systems within a financial institution. The DMI is the methodology layer of the AI Spine governance framework. It repositions AI governance from the model to the decision, on the basis that financial consequences and regulatory obligations attach to the decision an AI system enables rather than to the model itself. This public overview sets out the instrument's architecture, its seven dimensions of decision materiality, its tier logic, its assessment process, and its relationship to existing frameworks including SR 11-7, the NIST AI Risk Management Framework, King IV, and the South African conduct and prudential regime. The proprietary scoring anchors, weightings, and aggregation logic are applied within a Nakhile Consulting engagement and are not reproduced here. Aimed at boards, audit and risk committees, chief financial officers, chief risk officers, regulators, and auditors in South African financial services.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-02
DOI
https://doi.org/10.5281/zenodo.21134246
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
0.00
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article

The Decision Materiality Index: Public Overview

Ziyanda Kitantou
Zenodo (CERN European Organization for Nuclear Research)
Auditing, Earnings Management, Governance
article

The Decision Materiality Index: Public Overview

Ziyanda Kitantou
article en

Abstract

An overview of the Decision Materiality Index (DMI), a weighted, multi-dimensional instrument for assessing the financial, regulatory, and customer-impact materiality of decisions made or substantially influenced by AI systems within a financial institution. The DMI is the methodology layer of the AI Spine governance framework. It repositions AI governance from the model to the decision, on the basis that financial consequences and regulatory obligations attach to the decision an AI system enables rather than to the model itself. This public overview sets out the instrument's architecture, its seven dimensions of decision materiality, its tier logic, its assessment process, and its relationship to existing frameworks including SR 11-7, the NIST AI Risk Management Framework, King IV, and the South African conduct and prudential regime. The proprietary scoring anchors, weightings, and aggregation logic are applied within a Nakhile Consulting engagement and are not reproduced here. Aimed at boards, audit and risk committees, chief financial officers, chief risk officers, regulators, and auditors in South African financial services.

Zenodo (CERN European Organization for Nuclear Research)
RED Consulting (Norway) (NO)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Auditing, Earnings Management, Governance
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The Decision Materiality Index: Public Overview — Ziyanda Kitantou · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS