The AI-Powered Manager

Build the foundation every AI-powered manager needs: how these tools actually work under the hood, why most company AI rollouts stall, and how to become a genuine power user fast. You'll leave understanding both the technology and the leadership judgment that turns it into results.

From Week 1: why the same question sent to different reasoning levels produces very different answers.

• ✓ Crisis Leadership: Understanding AI's immediate impact on your industry and role-specific disruption patterns—featuring real CEO insights from Amazon and IBM on workforce reduction
• ✓ The Manager's AI Toolkit: Essential AI platforms every leader must master: ChatGPT, Claude, and Gemini (setup to practical use in 30 minutes)
• ✓ Prompt Engineering for Leaders: How to write prompts that get you exactly what you need—from strategic analysis to team communications
• ✓ Workforce Transformation Strategy: How to identify which roles on your team are at risk, which are AI-enhanced, and which are AI-immune
• ✓ ROI Leadership: Implementing AI strategies that deliver measurable productivity gains (case study: 37% faster completion with 20% better quality)
• ✓ Change Management for AI: Leading teams through AI adoption while maintaining morale and performance in an era of workforce reduction
• ✓ Strategic Decision-Making with AI: Using LLMs to generate strategic options, evaluate scenarios, and accelerate high-stakes decisions

Turn AI into a genuine force multiplier for everything managers write and run: reports, emails, reviews, meetings, and presentations. The focus here is producing work that sounds like you and stands up to scrutiny, not polished-looking slop that someone downstream has to fix.

From Week 2: spotting the tells that make AI drafts sound machine-generated, and fixing them.

• ✓ Executive Writing with AI: Crafting board reports, strategic memos, and executive updates 3x faster using ChatGPT and Claude with proven templates
• ✓ Email Mastery: Using AI to draft, respond to, and manage email communications—turning 2-hour email sessions into 30-minute focused work
• ✓ Meeting Productivity: AI-powered meeting preparation, agenda creation, and follow-up communications that keep teams aligned
• ✓ Performance Review Revolution: Using AI to write more thoughtful, personalized performance reviews and development plans (learning from IBM's 94% automation approach)
• ✓ Difficult Conversations: Using AI to craft sensitive communications—layoffs, restructuring, performance issues, and conflict resolution
• ✓ Team Communication Strategy: Scaling your communication impact across larger teams using AI-assisted messaging and announcements
• ✓ Presentation Creation: Using AI to build compelling presentations that influence stakeholders and drive decisions

Use AI to make sharper decisions faster, without needing to be a data analyst. You'll turn spreadsheets, survey results, financial statements, and competitive intel into clear, defensible recommendations—and learn how to pressure-test what the AI gives you before you act on it.

From Week 3: stripping identifying information out of a data set before analysis.

• ✓ Spreadsheet Intelligence: Using ChatGPT and Claude to analyze Excel/Google Sheets data, create formulas, and generate insights from your existing data
• ✓ Strategic Analysis: Using AI to analyze financial statements, competitive reports, and market research in half the time with deeper insights
• ✓ Survey and Feedback Analysis: Using AI to quickly analyze employee surveys, customer feedback, and market research data for actionable insights
• ✓ Report Generation: Creating executive dashboards and summary reports using AI to synthesize complex data into clear recommendations
• ✓ Competitive Intelligence: Using AI to analyze competitor websites, press releases, and public information for strategic advantage
• ✓ Predictive Planning: Using AI to help with budget forecasting, resource planning, and scenario analysis
• ✓ Data Storytelling: Using AI to create compelling narratives around your data that influence decision-makers and drive action

Take everything you've learned and scale it to your whole team. This is the part almost no course covers: the specific conversations, policies, and habits that get real people to adopt AI well, so the gains show up across the team instead of dying with one enthusiastic manager.

From Week 4: the difference between an automation and an agent, in plain English.

• ✓ Team AI Training Strategy: How to get your entire team using ChatGPT, Claude, and Gemini effectively—from onboarding to advanced use cases
• ✓ AI Workflow Integration: Implementing AI into your team's daily workflows without disrupting productivity or overwhelming anyone
• ✓ Policy and Guidelines: Creating simple, practical AI usage policies that encourage adoption while managing risk and maintaining quality
• ✓ Measuring AI Impact: Tracking productivity gains, time savings, and quality improvements from your team's AI adoption
• ✓ Scaling Success: Taking individual AI wins and scaling them across departments and the broader organization
• ✓ Budget Planning: Building business cases for AI tool subscriptions and training investments with clear ROI projections
• ✓ Future-Proofing Your Career: Positioning yourself as the AI-forward leader your organization needs as the workplace continues to transform
• ✓ Leading Through Change: Managing the human side of AI adoption—addressing fears, building confidence, and maintaining team morale during transformation