GAB/BAG Integrated Governance Framework
Status: Conceptual, Non-Empirical, Research-in-Progress
Purpose
The GAB/BAG Integrated Governance Framework is designed to address governance, traceability, and accountability challenges arising from the increasing use of AI-assisted decision support within banking operations.
Its primary purpose is to provide a structured conceptual lens for separating intelligence generation from decision validation and governance, in order to reduce operational risk and strengthen institutional defensibility.
Scope
The framework applies to:
- banking operations and middle/back-office processes,
- AI-assisted decision environments,
- governance, auditability, and control structures,
- regulated financial institutions operating under strict supervisory regimes.
The framework is not sector-agnostic and is intentionally aligned with regulated financial contexts.
What the Framework Is
The GAB/BAG Framework is a conceptual governance framework combining:
- a generative intelligence layer (GAB), and
- an assurance and governance layer (BAG),
designed to clarify roles, responsibilities, and validation mechanisms in AI-supported operational workflows.
What the Framework Is NOT
- It is not a software product.
- It is not an implementation methodology.
- It is not an empirical study.
- It does not claim performance improvements or measured outcomes.
Research Status
The framework is presented in a pre-empirical stage.
Any future empirical exploration will aim to examine applicability, limitations, and governance implications and will be conducted separately, under appropriate methodological and institutional conditions.
