A four-part, 46-slide executive program on leading AI-driven organizational change. Part 1 covers digital transformation fundamentals. Part 2 covers data strategy and decision intelligence. Part 3 is a full board-ready AI transformation capstone project. Part 4 is a closing leadership playbook with frameworks for ongoing AI leadership. Every part includes executive principles and detailed speaker notes, and most include workshops, ready-to-use AI prompts, and knowledge checks.
What digital transformation actually means versus digitization and digitalization, why organizations pursue it, the four pillars (customer, operations, workforce, business model), how AI accelerates transformation, and a hospitality-industry executive case study with real before/after metrics.
Why every AI strategy begins with a data strategy, the raw-data-to-decisions pipeline, what an enterprise data strategy defines, a reference enterprise data architecture, and the components of data governance.
A full board-ready transformation exercise: you are appointed Chief AI Transformation Officer of a fictional $7.8B, 18,500-employee global manufacturer with 90 days to deliver a strategy. Walks through all 9 phases — enterprise assessment, AI opportunity portfolio, strategy, 3-year roadmap, financial analysis, governance, KPI dashboard, risk register, and board presentation — plus an evaluation rubric, a real-world case study, an executive workshop, a master AI prompt, and a knowledge check.
Closing frameworks: the six-dimension AI Leadership Framework, the five-level AI Maturity Model, a 7-area executive dashboard, common lessons from successful transformations versus common causes of failure, a 30/90/365-day executive action plan, an AI leadership manifesto workshop, a master AI prompt, and a final knowledge check.
Four parts, 46 slides total: Part 1 — Understanding Digital Transformation (8 slides). Part 2 — Data Strategy & Decision Intelligence (5 slides). Part 3 — Executive Capstone Project (19 slides). Part 4 — Program Summary & Leadership Playbook (14 slides). Use the table-of-contents drawer (the ☰ icon in the top right) to jump straight to any part, or the Prev/Next buttons to move slide by slide.
Senior leaders, executives, and managers who need to understand AI strategy and digital transformation at a leadership level — not a technical AI or machine learning course. It covers strategic frameworks, governance, financial analysis (ROI/NPV), organizational change, and board-level communication rather than coding or algorithms.
Digitization converts analog information into digital form (e.g. scanning a paper invoice into a PDF). Digitalization uses digital technology to improve an existing process (e.g. an online invoice-approval workflow). Digital transformation redesigns the business itself using digital technologies (e.g. an AI-powered finance platform with automated approvals, fraud detection, and predictive cash flow). Each level represents a larger scope of organizational change than the last.
Per the capstone scenario, the role spans: assessing enterprise readiness across strategy, technology, data, people, and processes; building an AI opportunity portfolio prioritized by business value and risk; developing a 3-year roadmap and enterprise AI strategy; running the financial analysis (ROI, NPV, payback); designing the AI governance charter and risk register; building executive KPI dashboards; and presenting the full transformation plan to the Board for approval.