The Caribbean AI Adoption Imperative: A Boardroom Framework for AI Governance in the Caribbean

Foreword

This consolidated programme brings together twelve articles published serially across the spring of 2026 under the title The Caribbean AI Adoption Imperative. The articles were written for a specific reader — the Caribbean board chair, lead independent director, or risk committee chair sitting in the chair of an institution of meaningful scale, in a Caribbean territory, in a year in which AI has moved from an emerging consideration to a structural one. The articles were written, also, against a specific gap: the gap between the AI commentary calibrated for global institutions in New York, London, Singapore, and Hong Kong, and the actual circumstances under which Caribbean institutions of scale must decide their AI position.

The gap is not principally a question of resource scale, although that matters. It is a question of context — Caribbean regulatory landscapes, Caribbean data sovereignty constraints, Caribbean workforce dynamics, Caribbean public-legitimacy expectations, and the specific institutional textures of Caribbean boards. The instruments produced across the twelve articles have been calibrated for that context. They are not Western frameworks transplanted; they are Caribbean frameworks built, by Caribbean professionals, for Caribbean institutions. The calibration is what makes them load-bearing in the contexts for which they were designed.

I have written, across the run, in the institutional voice of Dawgen Global rather than in my personal voice, because the substance of the programme draws on the engagement experience of many Caribbean professionals at the firm and on conversations with Caribbean directors, regulators, and institutional leaders across more than fifteen Caribbean territories. The voice is collective; the responsibility for any errors is mine alone. I would be grateful for the corrections that any reader encounters, and for the additions and refinements that the programme will benefit from over the years to come. The series is a beginning, not a final word.

The reader who has come to this consolidated volume rather than to the serial articles will benefit from one piece of guidance about how to read it. The twelve articles are not interchangeable. They build on each other in a deliberate architecture across four acts — Orientation, Guardrails, Application, and The Decision — and the substantive content of later articles assumes the vocabulary the earlier articles have established. A reader who turns directly to Article 11’s Maturity Model without having absorbed the eight articles before it will find the Model less useful than the reader who has read in order. I would not insist on a linear reading; the articles can stand alone where particular instruments answer particular questions a board faces. But the architecture is the point, and a reading that takes the architecture seriously will produce more institutional value than a reading that does not.

I am grateful, finally, to the Caribbean directors who have written and called and pushed back across the run of the series, and to the Dawgen Global colleagues whose engagement experience has shaped what the articles say. The work is theirs as much as mine. If, in the years to come, this programme proves useful in the Caribbean boardroom — if Caribbean directors find in it the vocabulary and the discipline to engage with the AI question deliberately rather than by default — that will be the measure of whether the work was worth doing. We hope it will prove so.

A READER’S GUIDE

How to read this programme

The programme is organised in four acts across twelve articles. Each article introduces one or more named instruments — specific tools the Caribbean board chair can apply to her own institution. The instruments accumulate across the series; together they form an architecture that supports the call the programme makes in its closing article.

Each individual article follows the same structural rhythm. An opening scene — typically a Caribbean executive on the phone after a board meeting — establishes the diagnostic question the article addresses. A spine recap places the article in the series architecture. The substantive analysis develops a position, supported where appropriate by evidence blocks drawn from Dawgen Global’s engagement experience. A named instrument is introduced, often rendered as a visual table inside the article. The closing reflection sets up the article that follows. A For the Board Agenda panel offers one specific question and one specific decision the board chair can act on within ninety days of reading the article.

Three reading approaches will serve the reader well, depending on circumstances. Linear reading — Article 1 through Article 12 in order — produces the strongest absorption of the programme’s argument and is recommended for readers approaching the AI question for the first time. Architecture reading — Articles 1, 4, 6, 9, 11, and 12 in order — captures the structural spine of the programme in roughly half the time and is suited to readers familiar with the underlying disciplines who want the Caribbean-specific calibrations. Reference reading — turning directly to the article whose named instrument addresses a specific board question — is appropriate once the reader has absorbed the architecture and is applying particular instruments in particular contexts.

The programme is not, and is not intended to be, a comprehensive treatment of AI in the Caribbean. It is a treatment of AI governance — what the board should engage with, how, and why — written for the board chair specifically. The technical, operational, and engineering dimensions of AI deployment, which warrant substantial treatment in their own right, are deliberately out of scope. Where the programme’s instruments depend on technical work, that dependency is noted but the technical work itself is not undertaken here.

Finally, a note on the calibrations. The programme has been written in early 2026 for the regulatory and technological landscape that exists at that point. The substantive content of the eleven instruments is durable across short time horizons; the specific calibrations — what Optimised means in the Maturity Model, which use cases populate the Financial Services AI Use-Case Map, which indirect regulators warrant the most attention — will need refreshing as the regulatory and technological landscape evolves. We intend, at appropriate intervals, to publish refreshed calibrations rather than allow the programme to drift quietly out of date. Readers who would like to be notified when refreshed calibrations are published are invited to write to [email protected].

FOUR ACTS, TWELVE ARTICLES, ELEVEN INSTRUMENTS

The architecture of the programme

The twelve articles of the programme are organised across four acts. Each act has a substantive purpose, and the architecture of acts mirrors the architecture of how a Caribbean board approaches the AI question deliberately — first orientation, then guardrails, then application, and finally the decision.

Act I — Orientation    Articles 1–3

What AI is in the Caribbean context, what the board’s diagnostic relationship to it should be, and how scale changes the questions an institution must ask itself. The orientation act establishes the vocabulary the rest of the programme depends on.

— Three-Question Board Diagnostic (Article 1)

— Agentic Vendor Assessment (Article 2)

— SME AI Sequencing Framework (Article 3)

Act II — Guardrails    Articles 4–5

The protective discipline that no Caribbean institution can responsibly skip regardless of its AI ambition. Data sovereignty and regulatory readiness are the two structural guardrails that define the space within which substantive AI deployment can occur.

— Data Sovereignty Decision Matrix (Article 4)

— Caribbean Regulatory Readiness Self-Assessment (Article 5)

Act III — Application    Articles 6–8

Three substantive applications of the frame established in the prior two acts — financial services use cases, the workforce transition, and the finance function as a worked example of the maturity-ladder discipline that the comprehensive Maturity Model later generalises.

— Financial Services AI Use-Case Map (Article 6)

— Caribbean Workforce Transition Map (Article 7)

— Finance Function AI Maturity Model (Article 8)

Act IV — The Decision    Articles 9–12

The instruments by which a Caribbean board commits to a position rather than merely studies one — governance decision rights, sectoral context, comprehensive maturity assessment — followed by the call that the entire programme has been building toward.

— AI Governance Decision-Rights Matrix (Article 9)

— Sector AI Adoption Profile (Article 10)

— Comprehensive D-AGENTICA™ Maturity Model (Article 11)

— (Article 12 closes the programme without adding to its instrumentation)

 

ALPHABETICAL INDEX OF NAMED INSTRUMENTS

The eleven instruments

The programme produces eleven named instruments across its run. They are listed below alphabetically by name with a brief description and the article in which each is introduced. Readers seeking a specific instrument should turn to the article reference; the surrounding articles in the same act will typically supply the substantive context the instrument assumes.

Agentic Vendor Assessment    Article 2

A structured assessment for evaluating AI vendor relationships, particularly where the vendor’s AI capability operates agentically rather than as a passive tool.

AI Governance Decision-Rights Matrix    Article 9

Eleven AI-related decisions mapped against four institutional bodies (Board, Risk Committee, Audit Committee, Management), specifying who owns, approves, reviews, or is informed of each.

Caribbean Regulatory Readiness Self-Assessment    Article 5

A self-assessment instrument for evaluating an institution’s preparedness for the regulatory expectations on AI deployment in Caribbean territories and the indirect regulators most material to it.

Caribbean Workforce Transition Map    Article 7

A structured map of workforce-impact considerations for AI deployment, addressing redundancy avoidance, redeployment, capability building, and transition support.

Comprehensive D-AGENTICA™ Maturity Model    Article 11

A six-domain × five-stage maturity assessment instrument covering Governance, Strategy & Posture, Data & Sovereignty, Workforce, Operations, and Disclosure & Trust. The structural payoff of the programme.

Data Sovereignty Decision Matrix    Article 4

A decision instrument for evaluating data residency, jurisdictional treatment, and architectural arrangements supporting AI deployment, calibrated for Caribbean cross-border exposure.

Finance Function AI Maturity Model    Article 8

A four-category × five-stage maturity model specific to AI deployment in the finance function, distinguishing classical ML, generative AI, agentic AI, and the audit relationship. The first domain instance of the comprehensive Maturity Model.

Financial Services AI Use-Case Map    Article 6

A structured map of substantive AI use cases in Caribbean financial services, organised by function and by maturity of regulatory expectation.

Sector AI Adoption Profile    Article 10

A four-dimension instrument (regulatory exposure, data-residency intensity, physical-world coupling, public-legitimacy stake) applied at the sector level to surface which dimensions should anchor the board’s AI governance work.

SME AI Sequencing Framework    Article 3

A framework for the small and medium Caribbean enterprise, sequencing AI engagement in a way that respects resource constraints and avoids the institutional-scale disciplines appropriate only to larger institutions.

Three-Question Board Diagnostic    Article 1

A short diagnostic instrument for a board approaching the AI question for the first time, surfacing the three structural questions that establish the institution’s starting position.

ACT I

Orientation

Before a Caribbean board can make any decision about AI, it must first understand what AI is in its specific context, what the diagnostic questions are, and how the institution’s scale shapes the questions it must answer.

Articles 1 through 3 establish the orientation. Article 1 introduces the Three-Question Board Diagnostic, the most basic instrument of the programme. Article 2 develops the Agentic Vendor Assessment, addressing the most common operational entry-point through which AI enters Caribbean institutions. Article 3 introduces the SME AI Sequencing Framework, calibrating the orientation work for the small and medium enterprise.

ACT II

Guardrails

 

Two protective disciplines no Caribbean institution can responsibly skip before substantive AI deployment: the data sovereignty question and the regulatory readiness question.

Articles 4 and 5 develop the guardrails. Article 4 introduces the Data Sovereignty Decision Matrix, addressing the most underexamined dimension of Caribbean AI governance — what data flows where, under whose legal regime. Article 5 introduces the Caribbean Regulatory Readiness Self-Assessment, surfacing the indirect regulators whose claim on the institution’s AI use is most material. Together the two articles establish the protective space within which substantive AI deployment can responsibly occur.

 

ACT III

Application

 

Three substantive applications of the frame established in the prior acts — financial services, the workforce, and the finance function as a worked example of the maturity-ladder discipline.

Articles 6 through 8 develop the application. Article 6 introduces the Financial Services AI Use-Case Map, the most operationally substantial domain of Caribbean AI deployment. Article 7 introduces the Caribbean Workforce Transition Map, addressing the dimension of AI deployment that produces the widest gap between management’s view and the board’s view of institutional readiness. Article 8 introduces the Finance Function AI Maturity Model — a four-category × five-stage instrument that serves as the first domain instance of the comprehensive Maturity Model later unveiled in Article 11.

ACT IV

The Decision

 

The instruments by which a Caribbean board commits to a position rather than merely studies one — and the call to which the entire programme has been building since the first article.

Articles 9 through 12 develop the decision. Article 9 introduces the AI Governance Decision-Rights Matrix — eleven decisions, four bodies, the structural questions Caribbean boards are not yet asking. Article 10 contextualises the matrix against three Caribbean sectors through the Sector AI Adoption Profile. Article 11 unveils the comprehensive D-AGENTICA™ Maturity Model — six domains × five stages — the structural payoff of the programme. Article 12 closes the programme without adding to its instrumentation, with the call to the Caribbean boardroom that the prior eleven articles have been building toward.

 

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