New Practice Area — IBD 2026
AI for Business
A structured consulting and training practice helping Caribbean organisations assess AI readiness, navigate adoption, and manage the human side of intelligent transformation.
Core Promise
“We help Caribbean organisations understand where AI fits, what’s needed to adopt it well, and how to bring their people through the change — without the hype and without the chaos.”
The Positioning
Readiness-led. Journey-guided.
IBD’s AI for Business practice is not a technology consultancy. It occupies the space between AI literacy and AI implementation — where the real business risk lives. We don’t install software. We assess readiness, build capability, design the change strategy, and support the organisation through transformation. This is IBD’s existing strength applied to the defining business challenge of the next decade.
Three Entry Points
SME
AI literacy workshops, tool audit, starter roadmap. Entry-level, high-volume.
Corporate
AI readiness assessment, function-level impact analysis, governance design, people strategy.
Public Sector
Policy readiness, procurement guidance, citizen-service AI impact, compliance framing.
Why IBD — The Differentiation
1
Change management is the core
AI adoption fails at the people layer, not the technology layer. IBD has 14+ years managing exactly this kind of organisational transition. No tech firm can claim that.
2
Caribbean business context
We understand SME data maturity, regional workforce dynamics, and the regulatory environment here. Generic AI consultants from abroad do not.
3
Practical, not theoretical
IBD’s approach is always experiential and applied. AI workshops use real business scenarios, not global case studies that don’t translate locally.
4
Intervention at the right moment
Within 18 months, businesses that rushed into AI badly will need rescue. IBD is positioned for that wave — it’s the Change Management Intervention model applied to AI.
Service Architecture
Nine offerings across three dimensions
Each service can be engaged as Creation (build the strategy/plan), Training (build team capability), or Intervention (fix what’s gone wrong).
| Service | Dimension | What’s Delivered | Audience |
|---|---|---|---|
| AI Readiness Assessment The diagnostic product |
Creation | Scored assessment across 5 dimensions: data, people, process, tech, governance. Roadmap output. | All segments. |
| AI Strategy & Roadmap | Creation | 12–24 month prioritised AI adoption plan aligned to business strategy. | Corporate, Public Sector |
| AI Literacy Workshop Entry-level |
Training | Half or full-day: What is AI, how it works in business, functional impacts, ethical considerations. | All segments. |
| Prompt Skills for Professionals | Training | Hands-on prompt engineering for business users — not developers. Role-specific exercises. | SME, Corporate teams |
| AI by Function Sales, Marketing, HR, Finance, Ops |
Training | Function-specific workshops: AI tools, process redesign, role impact, productivity uplift. | Department heads, teams |
| Data Readiness Programme | Creation Training |
Audit of data quality, structure, and availability. Plan to make the business AI-ready at the data layer. | SME, Corporate |
| AI Governance & Policy Design | Creation | AI use policy, approval framework, ethics principles, vendor assessment criteria. | Corporate, Public Sector |
| AI Change Management The retainer product |
Intervention | 12-month retainer: stakeholder management, communication plan, redeployment strategy, ongoing coaching. | Corporate, Public Sector |
| AI Recovery Audit For those who rushed in |
Intervention | Assess what went wrong with existing AI adoption. Remediation plan. People and process reset. | All segments. Growing fast. |
Workshop & Programme Content
What IBD teaches — refined topic architecture
This is the intellectual content that underpins the practice. Topics are grouped into modules that can be combined into any programme configuration.
Module 1 — AI Foundations
1.1
All levels
What is AI? A plain-language business overview
Types of AI, how generative AI works, what it can and cannot do reliably
1.2
Three levels of AI engagement
Personal productivity tools → Tool-enhanced workflows → Role transformation and automation
1.3
Critical areas
AI ethics, risk, and responsible use
Bias, data privacy, hallucination risk, over-reliance, legal and regulatory landscape in the Caribbean
1.4
The AI hype cycle — what to believe
Separating vendor claims from business reality; how to evaluate AI tools critically
Module 2 — AI in Business Functions
2.1
AI impact by function
Sales, Marketing, Operations, Finance, HR, Customer Service — specific tools and workflow shifts for each
2.2
AI impact by business process
Prospecting, selling, fulfilling, procuring, servicing, reporting, manufacturing — where AI changes the work
2.3
AI impact by business type
SME vs corporate vs public sector — different readiness, risk, and opportunity profiles
2.4
AI by industry segment
Food & beverage, hospitality, energy, financial services, retail, public sector — sector-specific use cases
Module 3 — Leadership & Governance
3.1
AI impact on management and leadership
Decision-making augmentation, the manager’s new role, strategic foresighting with AI
3.2
Critical areas
AI governance and policy design
Who owns AI decisions in your organisation? Approval frameworks, use policies, accountability structures
3.3
Critical areas
AI cost, ROI, and vendor selection
Building the business case for AI; evaluating and choosing tools; avoiding being oversold
3.4
Strategic foresighting with AI
Using AI to scenario-plan, horizon-scan, and stress-test strategic assumptions
Module 4 — Readiness & Implementation
4.1
Critical areas
Data readiness — the often-missing foundation
Data quality, structure, and availability; most Caribbean SMEs must address this before AI can deliver
4.2
Technical minimum needs and path to advanced
What infrastructure, connectivity, and systems are required at each level of AI adoption
4.3
Fit: AI in strategic and operational planning
Where AI accelerates strategic planning, process mapping, RACI completion, vision and foresighting
4.4
People: literacy, redeployment, and the human transition
Computer literacy baseline, prompt training, process thinking, managing displaced roles ethically
Module 5 — Change Management for AI
5.1
Why AI adoption is a change management problem
Resistance patterns, fear vs opportunity framing, culture and trust as the real barriers
5.2
Stakeholder mapping for AI initiatives
Champions, resistors, fence-sitters — how to move each group; leadership alignment as the prerequisite
5.3
Communication planning for AI transformation
What to say, when, to whom, and at what level of detail; managing rumour and fear
5.4
Sustaining momentum — from pilot to culture
Quick wins strategy, embedding AI in process, measuring adoption, building internal capability
Lead Offer
AI Readiness Assessment
This is IBD’s entry product for the AI practice — mirroring the Change Readiness Diagnostic that anchors the Change Management retainer pipeline. A complimentary or low-cost assessment that uncovers the prospect’s AI reality and positions IBD as the guide for what comes next.
Five Assessment Dimensions
Data ReadinessQuality, structure, availability
People & LiteracyAI awareness, digital skills, openness
Process ClarityDocumented, measurable, improvable
Technology BaselineInfrastructure, systems, connectivity
Governance & LeadershipAI ownership, policy, risk awareness
Illustrative profile — typical Caribbean SME. Actual scores generated from client interview.
Assessment Flow
1
Opening — 5 minutes
Frame the session: “This is a structured conversation to help you see exactly where your AI risk and opportunity sits.”
2
Discovery — 30 minutes
Structured questions across the five dimensions. Current tools in use? Data quality awareness? Which roles feel most threatened? Any AI pilots underway? Leadership alignment on AI direction?
3
Summary & scoring — 10 minutes
Reflection exercise: “Your biggest AI risk right now is [data/people/governance]. Here’s a quick example of how we’ve seen this play out with [relevant case].”
4
Next steps — 5 minutes
A one-page Readiness Summary will be sent within 48 hours.
Key Discovery Questions
What AI tools, if any, are your team using right now — officially or unofficially?
If I asked your team to describe the data your business generates, could they answer confidently?
Who in your leadership team owns the AI question — or is it currently nobody’s job?
What’s the conversation in your industry about AI right now, and how is your business positioned relative to that?
If a competitor adopted AI significantly before you — what would that cost you?
Which roles in your organisation do you expect AI to touch most in the next two years?
Fourth Pillar + Cross-Pillar Feed
How AI for Business connects to existing IBD services
The AI practice stands alone as a fourth pillar — but it also feeds directly into existing IBD engagements:
Cross-Pillar Connections
Strategic Planning
AI Strategy & Roadmap feeds into Strategic Planning
Foresighting as a planning tool
AI for SWOT/PESTLE analysis
AI governance in operational planning
Sales & Marketing Transformation
AI tools for sales prospecting
AI-driven marketing content
Social media AI optimisation
AI in customer service interactions
Predictive sales analytics
Professional Development
Prompt Skills sits inside Prof. Dev.
AI productivity tools in Time Mgmt
AI features in MS Office workshops
AI literacy as a leadership skill
Change Management (existing)
AI Change Mgmt is Change Mgmt retainer applied to AI
AI Recovery Audit mirrors performance audit
Employee AI Readiness mirrors Change Readiness
Services Position
AI Offering
AI for Business is the fourth pillar of our IBD services. Our flow follows our standard approach:
Your Business Challenge → Our Approach → Agreed Expected Outcomes → What We Cover → Three Ways to Work With Us.
Immediate Next Steps
1
Define your company’s AI position
2
Apply the AI Readiness Assessment tool
3
Design the AI Literacy Workshop
4
Conduct the workshop
5