Put AI to Work for Your Business — No Code Required
Six practical modules take you from "I've heard of ChatGPT" to running a full AI adoption roadmap — with the prompting skills, vendor scorecard, and KPI framework to show real results to any stakeholder.
"I'll never ask you to take anything on faith — every concept we cover connects directly to a decision you'll make, a cost you can cut, or a result you can measure."— Dr. J Raymond ABK
What you'll learn
What you'll be able to do
- Explain core AI concepts — machine learning, large language models, and automation — in plain language to any stakeholder or team
- Audit your existing workflows and pinpoint the highest-ROI opportunities for AI integration
- Prompt and configure leading AI tools (ChatGPT, Copilot, Gemini) to produce reliable, on-brand business outputs
- Build a practical AI adoption roadmap with clear milestones, risk controls, and change-management steps
- Evaluate AI vendors and tools using a repeatable scorecard that surfaces hidden costs, bias risks, and data-privacy concerns
- Measure the business impact of AI initiatives with KPIs that connect tool usage directly to revenue, efficiency, or customer satisfaction
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 21 lessons
AI Demystified: Core Concepts Every Business Leader Needs
Establishes the foundational vocabulary and mental models every learner needs before touching any tool or workflow. This module ensures all stakeholders — regardless of technical background — can speak confidently about AI, ask the right questions, and avoid costly misconceptions. It is intentionally placed first as the prerequisite for all downstream modules.
- 1.1How AI Really Works (No Code Required)Included
- 1.2Machine Learning, LLMs, and Automation — What's the Difference?Included
- 1.3AI Myths, Hype, and Honest LimitationsIncluded
Workflow Audit: Finding Your Highest-ROI AI Opportunities
Translates conceptual AI knowledge into an actionable audit of the learner's own organisation. By the end of this module, learners have a ranked shortlist of AI opportunities, scored by ROI potential and readiness, ready to feed directly into the adoption roadmap in Module 4. Data quality and availability are introduced here as a prerequisite consideration — a gap in the draft that could cause pilots to stall.
- 2.1Mapping Your Current WorkflowsIncluded
- 2.2Data Readiness: The Hidden Prerequisite for AI SuccessIncluded
- 2.3AI-Readiness Scoring: Prioritizing by ROIIncluded
- 2.4Quick Wins vs. Strategic Bets: Building Your Opportunity ShortlistIncluded
Prompting & Configuring AI Tools for Real Business Output
Moves from strategy to hands-on execution. Learners develop a reusable prompting framework and gain direct practice with ChatGPT, Copilot, and Gemini on real business tasks. A new lesson on brand guardrails and output governance is added — a gap in the draft — ensuring that 'reliable, on-brand outputs' is truly delivered, not just mentioned.
- 3.1The Business Prompting FrameworkIncluded
- 3.2ChatGPT, Copilot, and Gemini — Side-by-Side for Business TasksIncluded
- 3.3Producing On-Brand, Reliable Outputs at ScaleIncluded
AI Adoption Roadmap: From Pilot to Organization-Wide Rollout
Bridges individual opportunity identification and tool competence into an organisation-wide change programme. Sequenced after the workflow audit and tool modules so learners design roadmaps grounded in real scored opportunities and proven prompting capability. The draft's three lessons are retained and resequenced: change management is moved earlier to signal that people adoption must be designed from day one, not bolted on after.
- 4.1Designing a Pilot That Proves Value FastIncluded
- 4.2Change Management and Getting Your Team on BoardIncluded
- 4.3Building the Roadmap: Milestones, Risks, and GovernanceIncluded
Evaluating AI Vendors: A Repeatable Scorecard
Equips learners to assess vendors and tools objectively before — and during — adoption, protecting the organisation from lock-in, hidden costs, and ethical risk. Sequenced after the roadmap module because learners now have clear requirements from their own opportunity shortlist, making vendor evaluation concrete rather than abstract. The draft's three lessons are retained; a new lesson on running a structured vendor proof-of-concept is added to close the gap between scoring and decision-making.
- 5.1What Vendors Won't Tell You: TCO, Lock-In, and Hidden CostsIncluded
- 5.2Data Privacy, Bias, and Ethical Risk AssessmentIncluded
- 5.3Building and Using Your Vendor ScorecardIncluded
- 5.4Running a Vendor Proof-of-Concept That Generates Real EvidenceIncluded
Measuring AI Impact: KPIs That Connect to Business Results
Closes the programme by ensuring learners can prove — not just claim — the value of their AI investments. Sequenced last so learners build measurement frameworks around the specific opportunities, tools, and roadmap milestones they have already defined. The draft's three lessons are retained; a new lesson on continuous improvement and iteration is added to deliver the 'iterating for growth' outcome fully.
- 6.1Why Most AI Measurement Fails (and How to Fix It)Included
- 6.2Building a KPI Framework for Revenue, Efficiency, and CXIncluded
- 6.3Reporting AI Impact to Leadership and Iterating for GrowthIncluded
- 6.4Continuous Improvement: Scaling What Works and Sunsetting What Doesn'tIncluded
Who it's for
Is this you?
The Skeptical Manager
You're not anti-AI — you're anti-hype, and you need a clear-eyed framework to separate genuine opportunity from expensive distraction before pitching anything to your team.
The Ambitious Entrepreneur
You're running lean and every hour counts — this school helps you pinpoint exactly which AI tools are worth your limited budget and time, and which are just noise.
The Operations Leader
Your job is making workflows faster and cheaper, and you need a structured audit process to find the highest-ROI AI opportunities hiding inside your existing processes.
The Executive Setting Policy
You're responsible for your organization's AI direction and need the vendor evaluation, governance, and risk frameworks to make defensible, board-ready decisions.
The Marketing Professional
You're already experimenting with AI tools for content and campaigns, but want a repeatable prompting system and KPI framework to turn one-off wins into scalable, on-brand output.
The Change-Maker Mid-Career
You see AI reshaping your industry and want to become the person in the room who knows how to implement it — not just talk about it — before the window closes.
Questions
Frequently asked
Your teacher
A note from your teacher
Dr. J Raymond ABK
If you've sat through an AI presentation that left you simultaneously overwhelmed and underwhelmed — full of buzzwords, short on anything you could actually use on Monday morning — I built this school for you.
Here's the honest reality: most AI education is written by technologists, for technologists. It obsesses over how the models are built rather than how a business should deploy them. The result is that smart, experienced professionals — people who run teams, manage budgets, and make decisions that matter — feel locked out of a conversation that is fundamentally about their domain: strategy, operations, customers, and value creation. That's backwards, and it's what I set out to fix.
This school is structured the way a sharp consultant would approach the problem. We start with clarity — cutting through the hype so you know exactly what AI can and can't do, and why that distinction is worth real money. Then we move to your specific situation: auditing your workflows, scoring them for AI-readiness, and building an opportunity shortlist based on actual ROI potential, not whatever's trending on LinkedIn. From there, we get hands-on with the tools themselves — ChatGPT, Copilot, Gemini — using a prompting framework designed for business outputs, not demos. And we finish by building the infrastructure that makes AI adoption stick: roadmaps, vendor scorecards, KPI frameworks, and change-management approaches that bring your team along rather than leaving them behind.
I know what you might be thinking: "I don't have time for another course that tells me AI is the future without telling me what to do about it." Fair. Every module in this school is built around a deliverable — something you walk away with that's immediately applicable to your organization. The workflow audit is real. The vendor scorecard is real. The KPI framework is real. You're not learning about these things; you're building them.
No coding. No jargon for jargon's sake. No hype. Just a clear, practical system for leading AI adoption in your organization — whether you're just getting started or trying to bring order to a patchwork of tools your team has already adopted. Come build something that actually works.
— Dr. J Raymond ABK
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- 6 modules, 21 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- Full access for as long as you're subscribed