AI
Assess readiness, current tools, skills, risks, ambitions and the gap between experimentation and strategic use.
Move from disconnected AI experiments to a strategy that aligns tools, people, governance, marketing activation and measurable business outcomes.
Download the Free GuideThe stages are connected, but they are not a rigid one-time sequence. An organisation may revisit readiness after a policy change, strengthen integration before scaling activation or refine measurement as business priorities evolve.
Assess readiness, current tools, skills, risks, ambitions and the gap between experimentation and strategic use.
Connect selected AI capabilities to people, workflows, data, governance and accountable decision-making.
Translate capability into audience, content, campaign and channel plans that serve a defined business objective.
Put plans into controlled execution, learn from signals and improve decisions without abandoning oversight.
Measure the outcomes that matter, explain the investment case and use evidence to guide the next decision.
| Stage | Key question | Decision | Typical deliverable |
|---|---|---|---|
| AI | Where are we ready, exposed or unclear? | Choose the priority capability gaps and opportunities. | Readiness baseline, gap analysis and priority map. |
| Integrate | How should AI fit the way marketing operates? | Set roles, workflows, governance and tool boundaries. | Operating model, responsibility map and governance requirements. |
| Market | Where can AI create meaningful customer or business value? | Select audiences, use cases, channels and success measures. | Use-case portfolio, campaign plan and measurement brief. |
| Activate | How will the plan move into controlled execution? | Assign owners, tests, review gates and learning cycles. | Activation roadmap, test plan and decision cadence. |
| Revenue | What changed, and is the investment justified? | Continue, adjust, scale or stop based on evidence. | Outcome dashboard, executive narrative and next-investment case. |
Establish a baseline across the five dimensions, identify priority gaps and receive recommended next actions.
Take the free assessment →Use a planned eight-module learning path and templates to build a board-ready AI marketing strategy internally.
Join the course waitlist →Develop shared language and practical capability across a marketing team, adapted to organisational context.
Explore team training →Work directly with a senior advisor to shape decisions, align stakeholders and guide implementation.
Explore the consultancy →AIMAR is built for CMOs, marketing directors, marketing managers and cross-functional transformation leaders who need to make AI useful, responsible and accountable.
It can support an individual marketing initiative or a broader organisational roadmap. The value comes from applying the stages to real decisions—not from treating the framework as a poster or a generic maturity model.
AI strategies developed for larger markets can assume deep data resources, mature technology stacks and specialist teams. Caribbean and emerging-market organisations often need a more deliberate sequence that respects different budgets, talent availability, data maturity and regulatory environments.
AIMAR does not lower the ambition. It makes the route to that ambition more explicit by forcing choices about readiness, integration and evidence before scale.
The AIMAR Framework was developed by Ewort Atkinson, MBA, founder of Kinson AI Marketing Consultancy. Ewort is a Caribbean digital marketing leader with more than 25 years of experience across financial services, telecommunications and media in Jamaica and the wider region.
His work sits at the intersection of technology, brand, transformation and revenue. He also lectures at tertiary institutions in Jamaica and is the published author of The Digital Marketing Blueprint.
No. It is a strategic framework for readiness, integration, marketing, activation and business-outcome measurement.
No. AIMAR starts with business decisions, governance, workflows, audiences and measurement. Technical specialists can support implementation where needed.
There is no universal timeline. Readiness, scope, data, governance, stakeholder access and decision speed all affect timing.
Yes. It is informed by Caribbean and emerging-market realities, but the five stages can be adapted to organisations internationally.
The Kinson AI assessment evaluates responses across the five dimensions and provides a strategic baseline, dimensional breakdown, priority gaps and recommended actions.
No. Organisations can revisit stages as tools, policies, priorities and evidence change. It is designed to support an evolving decision cycle.
Keep a practical introduction to the five stages and use it to start the conversation with your team.
Get the free AIMAR guide →Answer 20 questions and receive a personalised report across the five AIMAR dimensions.
Take the free assessment →Join the waitlist for the planned self-paced course and its board-ready strategy process.
Join the course waitlist →Discuss direct advisory support for a senior leader or organisation moving toward implementation.
Explore consultancy support →