AI Governance & Compliance

From AI Ambition to Measurable Outcomes: A 90-Day Path for Caribbean Boards

May 27, 2026by Dr Dawkins Brown

Why most enterprise AI pilots stall — and how Caribbean boards can build a 90‑day path from idea to validated business value, with global partner discipline and local execution. Where boardroom AI conversations are stuck — and how to move them forward Across the Caribbean, every executive committee I sit in front of is...

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Cybersecurity and the External Audit: What Caribbean Boards Should Expect from Auditors on Cyber Risk

May 24, 2026by Dr Dawkins Brown

Walk into any Caribbean boardroom in 2026 and ask the directors what their external auditor does about cybersecurity. The answers will fall into three categories. Some directors will say their auditor audits cyber. Some will say cyber is the IT manager’s problem and not an audit matter. A few will say it is somewhere in...

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The New Audit Mandate: Why Caribbean Boards Must Rethink Audit as a Risk Lens

May 23, 2026by Dr Dawkins Brown

For most of the last fifty years, the external audit in the Caribbean was treated as an annual ritual. Companies prepared their books. Auditors arrived, asked questions, tested samples, and a few months later issued an opinion. Regulators received a copy. The audit committee acknowledged it. Shareholders, if they read it at all, read...

Continuous Validation Protocols: Why Periodic Model Validation Cannot Govern AI.

May 23, 2026by Dr Dawkins Brown

Why periodic model validation cannot govern AI — and what replaces it in institutions that must oversee systems faster than the institution itself can convene THE ARGUMENT IN ONE PARAGRAPH Traditional model validation operates on calendar time: annual reviews, quarterly committee meetings, semi-annual revalidation cycles. Artificial intelligence operates on operational time: thousands of...

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The Three-Owner Principle: Who Is Accountable When an AI-Influenced Decision Goes Wrong?

May 23, 2026by Dr Dawkins Brown

Who is accountable when an AI-influenced decision goes wrong — and why three separate owners are required for every consequential decision class THE ARGUMENT IN ONE PARAGRAPH When a credit decision goes wrong, the institution must be able to identify, within hours, who is accountable for what. Traditional governance answers this with a single...

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Distributed Oversight Architecture: Why Caribbean Boards Must Federate AI Decision Rights — and How to Do It Without Losing Central Authority

May 23, 2026by Dr Dawkins Brown

THE ARGUMENT IN ONE PARAGRAPH Traditional governance routes consequential decisions to the centre. Artificial intelligence makes consequential decisions at the edge — in the credit officer’s interface, in the underwriter’s screen, in the analyst’s recommendation engine — at machine speed, in volumes the centre cannot review. Pillar I of the AEGIS™ framework — Distributed...

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Introducing AEGIS™: A Five-Pillar AI Governance Framework for Caribbean Institutions

May 23, 2026by Dr Dawkins Brown

THE ARGUMENT IN ONE PARAGRAPH Artificial intelligence does not extend the risk surface of an institution — it inverts the assumptions on which the institution’s governance was built. The Landmark Edition of Caribbean Boardroom Perspectives set out The Governance Inversion Thesis, arguing that AI requires governance itself to be re-architected, not merely extended. This...

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The Questions High-Performing Audit Committees Should Be Asking in 2026

May 1, 2026by Dr Dawkins Brown

A practical agenda for audit committees facing more complexity across financial reporting, sustainability, fraud, and technology. Audit committees in 2026 need sharper questions, not just fuller agendas. Their effectiveness increasingly depends on whether they can probe evidence quality, challenge assumptions, and connect emerging issues across reporting, risk, technology, and assurance. Why better questions matter Audit...

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AI in Audit: Opportunity, Oversight, and Executive Accountability

May 1, 2026by Dr Dawkins Brown

How leaders should think about AI in assurance without confusing technical capability with evidential reliability. AI is changing how audit and assurance work is performed, but it also raises questions about evidence quality, model governance, documentation, and accountability. Executives need a governance lens, not just a productivity lens. The promise and the temptation AI...

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Caribbean Sector Spotlights: How AI Adoption Looks Different in Tourism, Manufacturing, and the Public Sector

April 26, 2026by Dr Dawkins Brown

IN THIS ARTICLE Reading time: 22 minutes The tenth article of twelve, and the second article of Act IV — The Decision. Article 9 set out an AI governance frame in the abstract — eleven decisions, a Decision-Rights Matrix, two structural questions. Article 10 asks whether the frame holds up against three specific Caribbean...

Newer Posts

Older Posts

From AI Ambition to Measurable Outcomes: A 90-Day Path for Caribbean Boards

Continuous Validation Protocols: Why Periodic Model Validation Cannot Govern AI.

The Three-Owner Principle: Who Is Accountable When an AI-Influenced Decision Goes Wrong?

Distributed Oversight Architecture: Why Caribbean Boards Must Federate AI Decision Rights — and How to Do It Without Losing Central Authority

Introducing AEGIS™: A Five-Pillar AI Governance Framework for Caribbean Institutions

The Questions High-Performing Audit Committees Should Be Asking in 2026

AI in Audit: Opportunity, Oversight, and Executive Accountability

Caribbean Sector Spotlights: How AI Adoption Looks Different in Tourism, Manufacturing, and the Public Sector

June 29, 2026How Jamaica’s VASP Framework Compares to MiCA, the UK, Singapore and the Cayman Islands

June 29, 2026The FSC VASP Consultation Explained: Timeline, Instruments and What Happens Next

June 29, 2026From Registration to Licensing: Why the FSC Chose a Tougher Model

June 29, 2026What Is a Virtual Asset Service Provider Under Jamaican Law?

June 28, 2026Proof of Reserves Explained: The New Quarterly Audit for Jamaican Exchanges and Custodians

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