Building the AI-Ready Board: Governance Capability for the Intelligence Age

The Board’s AI Literacy Crisis

Caribbean boards are, by and large, well-equipped to govern the enterprises they oversee across most traditional dimensions. They understand financial risk, operational risk, legal and regulatory exposure, and human capital management. Many do not, however, have sufficient literacy in AI to discharge their governance responsibilities in this domain with confidence.

This is not a criticism — it reflects the pace of AI development and the relative novelty of AI governance as a board discipline. But it is a material governance gap. A board that cannot ask the right questions about AI — cannot distinguish a well-governed AI system from an ungoverned one, cannot assess the adequacy of management’s AI risk reporting, cannot exercise meaningful challenge on AI investment proposals — is not providing effective oversight of one of the most consequential risk domains in the contemporary enterprise.

Building AI governance capability at board level is one of the most important investments Caribbean enterprises can make in the current period. This final article in our series addresses what that capability looks like and how to build it.

What AI Literacy Means for Directors

AI literacy for board directors does not mean the ability to build or audit AI models. It means the capacity to understand AI at the level of consequence — to grasp how AI systems make decisions, what can go wrong, what governance questions to ask, and what assurance evidence should look like. Dawgen Global conceptualises AI literacy for directors across four dimensions:

Literacy Dimension	What It Enables
Conceptual Understanding	Understanding what AI is and is not, how machine learning differs from rules-based systems, and the basic mechanics of how AI systems are trained and deployed
Risk Literacy	The ability to identify the principal AI risk categories — model risk, data risk, fairness risk, operational risk, regulatory risk — and understand how they manifest in the enterprise context
Governance Literacy	Familiarity with the elements of effective AI governance: accountability frameworks, model risk management, audit requirements, and the board’s specific oversight responsibilities
Interrogation Capability	The ability to ask substantive questions of management about AI systems and governance, and to assess whether management’s answers provide adequate assurance

 

The Board’s Specific AI Governance Responsibilities

The board’s role in AI governance is not to manage AI systems — that is management’s responsibility. It is to set the governance framework within which management operates, to ensure that appropriate policies and controls exist, and to provide independent oversight and challenge. Specifically, boards should:

• Approve the AI Governance Framework including the AI Risk Appetite Statement and AI Risk Classification Policy
• Ensure that appropriate executive accountability for AI governance is established and that the accountable executive reports to the board on AI governance performance
• Receive and interrogate regular AI governance reports, including material AI incidents, model risk profile changes, and regulatory developments
• Ensure that internal audit has the capability and mandate to provide independent AI assurance, and that significant findings are reported directly to the Audit Committee
• Commission periodic independent external AI governance reviews, particularly for high-risk AI applications
• Satisfy themselves that management’s AI investment proposals are accompanied by adequate governance planning — that governance is resourced alongside capability

Structuring Board-Level AI Oversight

Caribbean boards face a practical choice about how to structure AI governance oversight. The three principal models are:

• Extended Risk Committee Mandate: the existing Risk Committee’s terms of reference are amended to explicitly include AI risk oversight. This is the most common approach and works well where the Risk Committee already has broad risk oversight capability and is committed to developing AI-specific literacy
• Dedicated AI Governance Committee: a standalone board committee is established with specific responsibility for AI governance oversight. This signals the significance of AI governance and enables focused expertise development, but requires additional director time and may create coordination challenges with the Audit and Risk Committees
• Full Board Oversight: AI governance is retained at full board level rather than delegated to a committee. Appropriate for smaller boards or organisations where AI deployment is at an early stage, but risks being crowded out by other board priorities as AI deployment matures

 

Whatever structure is chosen, the critical success factors are: clear terms of reference that define the board’s AI oversight responsibilities; adequate management reporting to support informed oversight; and commitment to building the board’s AI literacy over time.

The Role of Independent AI Assurance

Independent AI assurance is to AI governance what external audit is to financial reporting — it provides the board with evidence that the governance framework is functioning, rather than relying solely on management’s self-assessment. Caribbean boards should require that:

• Material high-risk AI systems are subject to periodic independent AI assurance review
• The AI assurance function reports findings directly to the Audit Committee, without management filtering
• AI assurance reports are written to be accessible to non-technical board members — translating technical findings into governance conclusions
• The AI assurance programme is reviewed and approved by the Audit Committee, not solely determined by management

Dawgen Global’s Board Advisory Programme

Dawgen Global offers a structured AI Governance Board Advisory Programme for Caribbean boards seeking to build their AI governance capability. The programme combines boardroom education sessions, governance framework assessment, AI assurance services, and ongoing advisory support — providing boards with the knowledge and independent assurance they need to exercise confident governance over enterprise AI.

Our programme has been developed in close consultation with Caribbean regulatory bodies and reflects the specific governance context, regulatory environment, and business characteristics of Caribbean enterprises across our 15+ territory network.

 

The Dawgen Global AI Governance Imperative: Series Summary

• Article 1: From Automation to Accountability — the boardroom AI governance imperative

• Article 2: The AI Governance Stack — principles, policies, and procedures

• Article 3: Algorithmic Accountability — who answers when AI gets it wrong

• Article 4: AI Risk Classification — governing by consequence, not technology

• Article 5: Auditing the Algorithm — AI assurance methodology in practice

• Article 6: Bias, Fairness, and Non-Discrimination — governing AI equity

• Article 7: Explainability and Transparency — the right to understand AI decisions

• Article 8: AI in Financial Services — governance for banks, insurers, and credit unions

• Article 9: AI Governance and the ESG Agenda — responsible technology

• Article 10: Building the AI-Ready Board — governance capability for the intelligence age

 

The Caribbean enterprises that will lead in the intelligence age are those whose boards govern AI with the same rigour, accountability, and independence they bring to financial, operational, and strategic governance. That is the AI Governance Imperative.

To engage Dawgen Global’s AI Assurance practice, contact us at [email protected] or call 876-929-3670 / 876-665-5926.

This article concludes The AI Governance Imperative series by Dr. Dawkins Brown, Executive Chairman, Dawgen Global.

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