System Preparation & Noise Cleaning Guide

DOI: https://doi.org/10.64357/neya-aida-noise-cleaning-guide-2026

Publisher: Neya Global Publishing

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Abstract

This guide operationalises the preparatory phase of AIDA by providing a structured methodology for identifying and removing systemic, cognitive, behavioural, procedural, and cultural noise prior to AI deployment. It demonstrates that the majority of AI failures in organisations arise not from technology itself but from systemic incoherence that predates the introduction of AI.

The document outlines diagnostic criteria for noise detection, including unclear decision flows, contradictory incentives, emotional interference, structural instability, institutional fragmentation, and ungoverned behavioural patterns. It introduces a multi-layer noise cleaning architecture: structural cleaning, cognitive cleaning, behavioural cleaning, and cultural alignment.

The guide provides frameworks, checklists, and preparatory templates enabling organisations to create a clean, predictable, AI-compatible environment. It positions noise cleaning not as a cosmetic process but as the central risk-mitigation layer of AI adoption across public, social, and enterprise systems.

Keywords

noise cleaning, system preparation, AI readiness, organisational clarity, deployment architecture

Citation

Kazanskaia, A. N. (2026). System Preparation & Noise Cleaning Guide. Neya Global Publishing. https://doi.org/10.64357/neya-aida-noise-cleaning-guide-2026