Assess your board's AI governance maturity across policy, accountability, ethics, and oversight. Generate a scored diagnostic aligned to the AICD Governance of AI Principles 2024.
#1
Board risk theme — AI governance (AICD DSI 2026)
71%
of boards lack a formal AI governance policy
8
AICD Principles for Responsible AI Governance
Survey Evidence: AICD Director Sentiment Index 2026 — AI governance ranked the #1 emerging risk for Australian boards, with 71% of boards yet to adopt a formal AI governance policy.
AI Governance Readiness Scorer — Assessment
Answer 8 questions to score your board's AI governance readiness. Your results will be benchmarked against the AICD Governance of AI Principles 2024 and the NIST AI Risk Management Framework.
Question 1 of 8 — AI Policy & Framework
Does your board have a formal, board-approved AI governance policy or framework?
Question 2 of 8 — Executive Accountability
Is there a named executive accountable to the board for AI governance outcomes?
Question 3 of 8 — Ethics & Transparency
Has your board reviewed and adopted principles covering AI ethics, bias, and explainability?
Question 4 of 8 — AI Risk Register
Is AI-related risk (including third-party AI tools) represented in your organisation's risk register?
Question 5 of 8 — Oversight Mechanism
How does your board receive AI governance updates?
Question 6 of 8 — AI Audit & Assurance
Has your organisation conducted an independent audit or assurance review of its AI systems?
Question 7 of 8 — Training Data Governance
Does your board have visibility of how training data for AI systems is sourced, quality-checked, and stored?
Question 8 of 8 — Board AI Literacy
How would you rate the AI literacy of your board as a collective?
Noventum Advisory is analysing your governance posture…
No board-approved AI policy. Governance is informal and reactive. Immediate formalisation required.
Executive Accountability45%
AI accountability is distributed across roles without clear board reporting. Consolidation recommended.
Ethics & Transparency35%
AICD AI Principles not yet adopted. Bias and explainability risk unaddressed at board level.
Risk & Assurance50%
AI risks partially identified. No independent assurance. Risk register coverage incomplete.
Oversight & Reporting40%
Board receives AI updates irregularly. No dedicated committee oversight. Structured reporting needed.
Board AI Literacy55%
General awareness present but insufficient depth. Skills uplift program recommended.
Recommended Governance Frameworks
Immediate
AICD Governance of AI Principles
Adopt the eight AICD principles as your foundation: accountability, explainability, contestability, reliability, privacy protection, fairness, transparency, and human control.
30 Days
NIST AI Risk Management Framework
Map your AI systems against NIST AI RMF's four core functions: Govern, Map, Measure, Manage. Prioritise your highest-risk AI deployments first.
60 Days
ISO/IEC 42001 — AI Management System
The international standard for AI management systems provides a certifiable framework for board-level AI governance. Engage your external auditor to assess readiness.
Prioritised Action Roadmap
1
Adopt the AICD Governance of AI Principles
Commission the Chair or Governance Committee to formally adopt and embed the eight AICD AI Principles into your board charter and risk appetite statement.
⏱ Target: 30 days · Owner: Board Chair + General Counsel
2
Appoint a named executive accountable for AI governance
Designate a C-suite executive with a formal AI governance mandate and a quarterly board reporting obligation. Define their scope across all AI deployments including third-party tools.
⏱ Target: 30 days · Owner: CEO + Board
3
Conduct an AI risk register review
Engage an independent AI risk specialist to audit your current risk register. Identify all AI-related exposures including third-party tools, data bias risk, and regulatory exposure.
⏱ Target: 60 days · Owner: Risk Committee + CRO
4
Commission an independent AI assurance review
Engage your external auditor or specialist firm to conduct an assurance review of your highest-risk AI systems. Focus on data integrity, bias testing, and oversight controls.
⏱ Target: 90 days · Owner: Audit Committee
5
Design a board AI literacy uplift program
Assess each director's AI competency. Source targeted education (AICD Digital Governance program, external expert briefings) and consider an AI advisory appointment.
⏱ Target: 90 days · Owner: Nominations & Governance Committee
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