CEO Playbook: Generative AI

Name: CEO Playbook: Generative AI
Rating: 4.6 (69 reviews)

The CEO's Guide to Applying Generative AI Across the Enterprise

Created byProf. Dr. Ana-Maria Olteteanu

Last updated 10/2026

English

English [Auto],

What you'll learn

Build AI dashboards, risk radars and briefings with Claude, step by step
Run an AI opportunity audit and turn it into a measured pilot plan
Measure AI ROI and decide whether to keep, change or stop each pilot
Strategically integrate Generative AI into business operations
Use AI to inform strategic decisions across departments
Map AI use cases to your company's key operations
Complete a CEO-level strategy to implement AI in your business
Build internal AI capability and strategic partnerships
Lead AI innovation with confidence
Lead AI initiatives responsibly and mitigate reputational risk
Understand Generative AI's potential
Assess organizational readiness for generative AI

Course content

3 sections • 34 lectures • 3h 51m total length

The CEO as an AI-Augmented Decision Maker9:27
Explore how CEOs augment intuition with data and generative AI to act as a thinking partner, synthesize reports, simulate outcomes, and surface strategic options for high-stakes decisions.
Decision making with the AI Matrix3:03
Using the AI decision matrix, categorize decisions by risk and strategic importance to decide when to automate, augment with AI, or own them fully, guiding weekly agenda and leadership focus.
Data as a Strategic Asset7:10
Treat data as the strategic asset fueling leadership analytics by blending structured and unstructured data with generative ai, ensuring accuracy, access, and traceable lineage for better executive decisions.
Exercise: Identify your Data Bottlenecks4:29
Identify your top five leadership bottlenecks by mapping data gaps in pricing, expansion, budgeting, and hiring, and use generative AI to analyze sales calls and CRM notes for faster clarity.
Building Executive Dashboards with GenAI6:54
Build executive dashboards with generative AI that turn data into strategic insights, surfacing changes and next actions. Use AI as a co-pilot to interpret data and guide decisions.
Build it: Your Strategy Dashboard with Claude, Part 16:39
In this hands-on lecture, we put the dashboard ideas from the previous lecture into practice. Using Claude and three files from Lumora Home, a fictional online furniture retailer, we build a "dashboard with a brain": it shows what changed, the likely cause and the source of every number, and it says so when the data cannot explain something. Part 1 covers the data, the prompt and the first dashboard. In Part 2, we question it, check its numbers and simplify it for a CEO. Download the three Lumora files from the resources of this lecture and build your own version.
Build it: Your Strategy Dashboard with Claude, Part 24:18
Part 2 of the strategy dashboard build for Lumora Home, a fictional online furniture retailer. You will see how to ask the dashboard the powerful questions from the lecture, how to check one of its numbers against the source like an editor, how to add a region filter and red flags, and how to simplify the page so the most important things land in five seconds. It ends with three rules for sharing a dashboard, and your own exercise.
Scenario Planning and Risk Forecasting7:22
Generative ai enables scenario planning and risk forecasting by running multiple what-if simulations, revealing second- and third-order effects, blind spots, and early weak signals.
Activity Simulation - Generative AI Scenario5:38
Simulate a new market entry with generative AI to surface risks, forecast outcomes, and generate strategic options for a health tech SaaS expanding from Germany and the Netherlands into Spain.
Build it: Scenarios and a Risk Radar on Real Data, Part 16:15
In this hands-on lecture, we use the five questions from the scenario simulation on real data. Lumora Home, our fictional furniture retailer, is losing customers in Asia Pacific, and the CEO has to decide what to do. In Part 1 we brief Claude like a strategist and work through question 1 (the risks of doing nothing) and question 2 (what if: best, expected and worst case, with numbers and clearly labelled assumptions). Part 2 continues with questions 3 to 5.
Build it: Scenarios and a Risk Radar on Real Data, Part 24:51
Part 2 of the scenario build on Lumora Home's APAC decision. We work through question 3 (second-order effects: and then what?), question 4 (three strategic options with trade-offs, plus an interactive simulator where you can test your own numbers) and question 5 (early indicators: a risk radar that reads the team updates for weak signals, each with a clear threshold for action).
Crafting your personal AI Strategy9:38
Craft your personal generative AI leadership system by selecting three focused use cases, aligning data, and assigning ownership. Start small, measure impact, and embed AI into your weekly leadership rhythm.
Build it: Your Monday AI Briefing, on Autopilot5:50
In this hands-on lecture, we turn your personal AI strategy into a weekly habit. Using the same Lumora Home files, Claude writes a one-page Monday briefing: what is accelerating, what is stalling, where the friction is, the top risks and opportunities, and three questions for named roles, with every number tagged to its source. Then we put it on autopilot as a scheduled task, every Monday at 8 a.m., and see why the data needs a fixed home. After four weeks, ask: what did it catch before my team did?

Mapping AI Opportunity Zones - the Audit Deck12:12
Audit AI opportunity zones by identifying repetitive, high-friction tasks and testing rapid, value-adding improvements with generative AI. Target quick wins like meeting notes, reports, and onboarding content.
Build it: The AI Opportunity Audit with Claude7:32
Apply the AI Opportunity Audit from the previous lecture to Lumora Home, a fictional online furniture retailer. You will see how Claude maps 14 weekly routines (about 108 hours a week) against the friction checklists and the decision tree, ranks the top five opportunities by hours saved, visible value and ease of testing, and turns the result into a short audit deck. You will also see why every AI draft needs a careful human review. Afterwards, you can run the same audit with your own team's routines. The top five become a pilot plan at the end of this section.
Product and Innovation with Generative AI11:22
Leverage generative AI to accelerate ideation, prototype design, and documentation, reshaping product innovation with tools like ChatGPT, Claude, Figma AI, Midjourney, and Notion AI.
AI for Marketing and Sales11:27
Leverage generative AI to accelerate marketing and sales campaigns, personalize content, and align messages with buyer needs in real time, while evaluating tools and guardrails for measurable impact.
AI for Customer Support10:48
Empower human centered customer support with AI that drafts responses, summarizes chats, and classifies tickets, reducing wait times while preserving empathy, tone, and human oversight.
AI in operations and Internal Efficiency7:16
Discover how generative AI boosts internal efficiency by automating SOP creation, question-and-answer bots, and meeting summaries, with tools like Notion AI and Firefly, plus semantic search and policy drafting.
Generative AI in Talent Strategy - People, Culture and HR10:31
Discover how generative AI shapes talent strategy and HR through bias-aware resume screening, AI copilots for career growth and mentoring, skills mapping, and ethics-driven, human-centered governance.
Wrap-Up - AI Use Case Prioritization Framework7:02
Prioritize AI use cases with an opportunity matrix, mapping strategic importance and feasibility to select 1–3 high ROI pilots. Define ownership and measurable success to guide pilots.
Build it: From Top Five to Pilot Plan with Claude, Part 16:47
Apply the prioritization framework from the Wrap-Up lecture to the Lumora Home audit. You will see how Claude places the top five AI opportunities on the AI opportunity matrix (strategic importance vs feasibility), sorts them into quick wins, strategic bets, too risky for now and low priority, adds the ROI beyond cost savings and the main risk for each, and suggests three pilots: two quick wins and one strategic bet. In Part 2, Claude turns them into a pilot plan.
Build it: From Top Five to Pilot Plan with Claude, Part 24:29
Part 2 of the pilot plan build for Lumora Home. You will see how Claude fills a pilot planner for the three chosen pilots: strategic objective, ROI estimate, main risk and its control, an owner, a timeline and a success metric decided before the start. Claude also says where it guessed. Then we read the pilot slides of the audit deck, the ground rules, and what we will not automate. Afterwards, you can turn your own top five into a pilot plan for your leadership team.

Mapping Strategic Priorities to AI Capabilities4:52
Map strategic priorities to ai capabilities to ensure ai serves a clear business purpose and links goals to tangible pilots and key performance indicators.
The AI Opportunity Matrix6:41
Apply the AI opportunity matrix to prioritize high impact, feasibility, and low risk use cases. Pilot options include meeting summaries, onboarding assistance, and marketing personalization to build credibility and runway.
Change Management for AI initiatives6:31
Lead AI adoption through storytelling, compassionate leadership, and peer-led change; align teams with a clear why, upskill in a safe sandbox, and empower humans over fear.
Measuring AI success and ROI7:27
Measure AI success and ROI by defining clear KPIs before launch, combining quantitative metrics with qualitative feedback, and tracking adoption, performance, and governance across pilots.
Build it: Your AI Value Dashboard and ROI Calculator, Part 15:53
Apply the lecture on measuring AI success and ROI to eight weeks of pilot data from Lumora Home, a fictional online furniture retailer. You will see how Claude turns a tracking file, Finance's cost assumptions and pilot feedback into an AI value dashboard for the leadership team: one keep, change or stop verdict per pilot, business KPIs against a two-week baseline, and hours saved against the pilot plan, with every number tagged as measured, calculated or estimated. Part 2 covers trust, safety, the ROI calculator and second-order signals.
Build it: Your AI Value Dashboard and ROI Calculator, Part 25:09
Part 2 of the AI value dashboard build for Lumora Home. You will see whether people are using and trusting the AI drafts, what the quality and safety data and the incidents show, how the ROI calculator turns hours into value (and why hours are not cash), what the pilot owners said, and which second-order signals matter. It ends with a clear decision per pilot: keep, change or stop. Afterwards, you can build the same dashboard and calculator for your own pilots.
Building a Long-Term AI Culture9:17
Scale ai with intention by turning pilots into repeatable processes, playbooks, and shared tools, fostering governance, cross-functional accountability, and a culture of learning.
Capstone Project - Your Generative AI Integration Blueprint4:12
Craft a 2–3 use case generative AI integration blueprint that aligns with your company’s goals, outlines phased implementation, owners, risks, metrics, and organizational readiness in a concise slide deck.
Build it: Your Generative AI Integration Blueprint, Part 15:39
Apply the capstone project to Lumora Home, a fictional online furniture retailer. You will see how Claude turns notes from all the earlier builds, eight weeks of pilot results and the pilot owners' feedback into a four-slide Generative AI integration blueprint. Part 1 covers the prompt in three parts (context, the capstone structure, the rules), the Why slide and the Use cases slide, and how to review Claude's proposals like an editor.
Build it: Your Generative AI Integration Blueprint, Part 23:45
Part 2 of the capstone build for Lumora Home. You will see the implementation slide (three phases over six months, with owners and outcomes, and Claude's own proposals clearly marked), the success and risks slide (business metrics, the risks that really happened in the pilots, and the change the organisation needs), how to review a blueprint with the three capstone tests (clear, realistic, actionable), and how to share it. It ends with your own capstone exercise.
Bonus Lecture0:45

Requirements

No prerequirements - you will learn everything you need to know

Description

You don't need to code. You need to lead.

The companies redefining their industries with AI aren't waiting on IT. They are led from the C-suite. CEO Playbook: Generative AI is your strategic guide to leading this transformation: intelligently, responsibly, and with a clear return on investment.

New: learn it by doing it, with Claude. After the key theory lectures, a hands-on "Build it" lecture shows you step by step how to apply the framework with Claude, a leading AI assistant. You follow one fictional company, Lumora Home, an online furniture retailer, from its first dashboard to a full integration blueprint. Every prompt is shown in full, and every result is real Claude output, including the mistakes worth catching. That is more than an hour of hands-on practice you can repeat with your own data.

This course is designed for leaders who want more than buzzwords. You'll learn how to integrate GenAI into decision-making, get sharper insights, forecast risk faster, and find opportunity across every department: product, marketing, operations, customer service and HR. You'll map where AI adds value today, and build a confident strategy for piloting and scaling tomorrow.

You'll walk away with:

An executive dashboard built from your own data with Claude
Scenarios and a risk radar for a real strategic decision
A Monday AI briefing that runs on autopilot
An AI opportunity audit and a pilot plan with owners, baselines and success metrics
An AI value dashboard and ROI calculator to decide: keep, change or stop
Your own Generative AI integration blueprint, ready to present

Whether you're defending your market position or shaping a new one, this course is your edge. In this next era of business, it's not about using AI. It's about using it better than the competition.

Who this course is for:

Business Leaders looking to understand what can be achieved with AI in the next decade
Aspiring Managers preparing for a leadership role that will include AI
Leaders and Managers wanting to integrate AI in their business
Leaders and CxO wanting to drive innovation, efficiency, and growth with Artificial Intelligence
Business Leaders looking for a roadmap to using AI strategically
Managers and Leaders wanting to improve processes with AI and prepare for the AI age

CEO Playbook: Generative AI

What you'll learn

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Course content

Strategic AI-Driven Decision Making13 lectures • 1hr 22min

Practical Applications Across the Enterprise10 lectures • 1hr 29min

Creating Your Generative AI Strategy11 lectures • 1hr

Requirements

Description

Who this course is for: