Corporate AI Governance Framework

The definitive master reference for organisations implementing responsible Artificial Intelligence governance. Designed by CSA Digital Asset Developers for multinational enterprises, government agencies, and regulated industries worldwide.

12
Volumes
25+
Templates
400-600
Pages
Global
Coverage

A Complete Governance System for the AI Era

The CSA Digital Asset Developers AI Governance Framework represents a comprehensive, enterprise-grade governance system designed to guide organisations through every phase of their AI journey — from initial strategy through operational maturity.

Developed by a consortium of experts in AI governance, ISO management systems, cybersecurity, risk management, and corporate law, this framework provides the practical tools, templates, and procedures that organisations need to implement responsible AI with confidence.

Aligned with ISO/IEC 42001, NIST AI RMF, ISO 27001, ISO 31000, and global privacy regulations, the framework serves as both an implementation guide and an ongoing reference for AI governance excellence.

Risk-First Approach

Built on ISO 31000 principles with systematic risk identification, assessment, and treatment throughout the AI lifecycle.

Measurable Maturity

Five-level governance maturity model with clear criteria, assessment tools, and progression pathways for continuous improvement.

Ready-to-Use Templates

Twenty-five editable templates covering policies, assessments, registers, and reporting packs — ready for immediate organisational adoption.

Phased Implementation

Structured 30-day to 2-year implementation roadmap with clear objectives, deliverables, dependencies, and success metrics.

Twelve Volumes of Governance Excellence

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01

Executive Overview

Strategic vision, governance principles, executive responsibilities, and the AI Governance Charter establishing the foundation for responsible AI adoption.

Vision & AI Strategy
Governance Principles
Executive Responsibilities
Board Responsibilities
+4 more sections
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02

Corporate AI Policy

Comprehensive policy governing acceptable and prohibited AI use, guiding principles, human oversight requirements, and accountability frameworks.

Purpose & Scope
Definitions & Guiding Principles
Acceptable AI Use
Prohibited AI Use
+5 more sections
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03

AI Risk Management Framework

Systematic approach to identifying, classifying, and managing AI-related risks with matrices, controls, escalation procedures, and executive reporting.

Risk Identification
Risk Classification
Risk Matrix & Appetite
Controls & Residual Risk
+4 more sections
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04

AI Data Governance

End-to-end data governance for AI systems including classification, ownership, lifecycle management, privacy controls, and cross-border transfer protocols.

Data Classification
Data Ownership & Stewardship
Data Lifecycle
Metadata Standards
+5 more sections
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05

AI Security Framework

Security controls spanning the AI development lifecycle, prompt engineering, API security, identity management, and third-party supply chain protection.

Secure Development Lifecycle
Secure Prompt Engineering
API Security
Identity & Access Management
+6 more sections
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06

AI Incident Response

Comprehensive incident response capabilities covering prompt injection, model poisoning, hallucination management, data leakage, and regulatory notification.

AI Incident Response Plan
Prompt Injection Response
Model Poisoning Response
Hallucination Management
+6 more sections
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07

AI Development Standards

Development lifecycle standards, DevSecOps practices, documentation requirements, code review, prompt review, model validation, and release management.

AI Project Lifecycle
SDLC & DevSecOps
Documentation Standards
Code Review
+5 more sections
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08

AI Operations

Operational management of AI systems including monitoring, performance metrics, SLAs, model retraining, capacity planning, and business continuity.

Monitoring & Observability
Performance Metrics
SLA Management
Model Retraining
+5 more sections
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09

Corporate Templates

Twenty-five fully editable templates covering policy, risk assessment, project charter, procurement, DPIA, ethics assessment, and executive reporting.

AI Policy Template
Risk Assessment Template
Project Charter Template
Procurement Checklist
+8 more sections
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10

Corporate Operating Model

Complete enterprise operating model with governance structure, steering committees, board oversight, organisational charts, and reporting lines.

Governance Structure
AI Steering Committee
Board Oversight
Executive Leadership
+6 more sections
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11

Implementation Guide

Practical phased implementation roadmap from 30 days through 2 years with objectives, tasks, deliverables, dependencies, budgets, and success metrics.

30-Day Foundation
60-Day Assessment
90-Day Framework
180-Day Implementation
+4 more sections
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12

Appendices

Reference materials including glossary, definitions, architectures, maturity model, FAQ, internal audit programme, and continuous improvement processes.

Glossary & Definitions
Reference Architectures
Example Policies
Reference Templates
+7 more sections
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13

Australian Compliance and Cyber Resilience

Comprehensive alignment with ACSC Essential Eight, APRA CPS 234/230, Privacy Act 1988, incident response, board reporting, and Solurius training integration.

Essential Eight Maturity Model
Application Control
Patch Applications
Microsoft Office Macro Settings
+14 more sections
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Begin Your AI Governance Journey

Whether you are starting from scratch or maturing an existing AI governance programme, this framework provides the structure, tools, and guidance you need to succeed.