AI training for Caribbean organisations that need the work done properly.

Caribbean organisations have moved past the question of whether to use AI.

Two years ago the conversation in most regional boardrooms — Bridgetown, Port of Spain, Kingston, Georgetown, Nassau — was whether generative AI was a serious business tool or a novelty. That argument is over. The question now is narrower and more uncomfortable: staff are already using these tools, usually on personal accounts, usually without guidance, and usually without anyone senior knowing which client information has been pasted into a chat window.

That is the real trigger for most of the training enquiries we receive. It is rarely a grand transformation programme. It is a marketing manager producing campaign copy in a fraction of the time, a finance team quietly summarising reports, an administrator drafting correspondence — and a leadership team that has realised the capability is spreading faster than the policy governing it. Training is how you get ahead of that: it standardises what "good" looks like, removes the guesswork, and gives everyone the same floor to work from.

The second driver is competitive. The Caribbean is a set of small, service-heavy economies where professional firms, hospitality operators, distributors and financial services businesses compete on responsiveness and quality of output. A team that can turn a proposal around in an afternoon instead of three days is not marginally better off — it wins work the slower firm never sees. That gap compounds quietly, and it is already visible from Barbados to Trinidad and Tobago, Jamaica, Guyana and the OECS.

The third is retention. Capable people want to work somewhere that equips them. Employers who invest in AI capability are finding it easier to keep mid-career staff who would otherwise assume the organisation is falling behind.

What corporate AI training actually looks like when it is done well.

Most disappointing AI training fails in the same way: someone demonstrates a tool, everyone nods, nobody changes how they work on Monday. The tool was never the problem. The problem is that people do not have a repeatable method for handing work to an AI system and getting something usable back.

Diagnostic first

Before anything is delivered we look at what your team actually does all week — the recurring documents, the reporting cycle, the client correspondence, the campaign process. The training is then built around those artefacts, so participants practise on their own work rather than a fictional case study.

Method, not tool tours

Participants learn how to brief a model, how to give it context, how to iterate towards a usable draft, and — critically — how to judge when the output is wrong. This transfers when the tools change, which they will.

Function-specific application

Marketing works on campaign systems and content. Sales works on research, outreach and proposal drafting. Operations works on process documentation and reporting. Everyone leaves with output relevant to their own role.

Governance and judgement

What can and cannot be put into a public model, when disclosure is required, what human review means in practice, and how to handle client or patient information. This is the part that protects the organisation.

Assets that outlive the session

A prompt library tuned to your organisation, the workbook, the recordings, and a written summary of where capability sits by function.

Open enrolment tracks, or a scoped in-house engagement.

These are genuinely different products and they suit different situations. Choosing wrongly is the most common way organisations waste a training budget.

Full curriculum and dates for the public tracks are on the AI training tracks page. The scoping process, deliverables and proposal turnaround for in-house work are set out on the corporate training page.

Evenings, live, in groups small enough to actually participate.

Format

Live virtual sessions delivered in the evening, Atlantic Standard Time, so teams are not pulled out of a working day. Sessions are interactive: participants work in the tools during the session rather than watching a screen share.

In person

Available across the region — Barbados, Trinidad and Tobago, Jamaica, Guyana and the OECS — quoted separately from the virtual rate. In-person suits leadership offsites, retreat-style sessions and organisations where staff share a single site.

Group size

Capped at 20–25 for interactive delivery. Larger organisations run consecutive cohorts by department.

Open enrolment pricing

$149 USD per seat for the Academy Masterclass, including all five live sessions, recordings, workbook and prompt library.

In-house pricing

From $2,500 USD for a scoped team session and from $4,000 USD for a multi-session enablement programme. Executive briefings start at $1,500 USD. Every scope is quoted after discovery, with a written proposal returned within 48 hours.

Currency

All pricing is quoted and invoiced in USD.

Where this training earns its cost back fastest.

Professional services firms — legal, accounting, advisory — where the product is written output and the constraint is senior time. Hospitality and tourism operators managing high content volume across markets. Distributors and retailers running lean marketing functions. Financial services and insurance organisations that need capability and governance introduced together. Government agencies and statutory bodies modernising internal reporting and public communication. Growing SMEs where one person is doing three jobs and AI is the only realistic way to add capacity without adding headcount.

It is a poor fit in one situation: when an organisation wants a certificate rather than a change in how work gets done. We will say so during discovery rather than take the booking.

Common questions from Caribbean employers.

Train your team on the work they already do.

Book a discovery call and we will tell you honestly whether open enrolment seats or a scoped in-house programme is the better use of your budget.