AI for Business

Build a shared language for AI and assess where your organization stands.

1. The 2026 AI Reality: Why You Cannot Afford to Sit This Out
2. Demystifying the Stack: AI, ML, Deep Learning, and LLMs
3. The Model Landscape in 2026: Claude, GPT, Gemini, and the Rest
4. What AI Can Actually Do (And Where It Still Fails)
5. The Honest Business Case: Productivity Research You Can Trust
6. AI ROI Frameworks: Hard Dollars, Soft Dollars, Strategic Value
7. AI Readiness Assessment: The Six-Dimension Audit
8. The Vendor Landscape: Hyperscalers, Foundation Labs, App Layer
9. Vendor Evaluation Basics: The 9-Point Scorecard
10. Data Strategy Essentials: Garbage In, Garbage Out
11. AI Talent: Hire, Upskill, or Partner
12. Change Management Foundations: The Adoption Curve You Will Actually Hit
13. Real Case Studies: JPMorgan, Klarna, Moderna, Air Canada
14. Budgeting AI: What Things Actually Cost in 2026
15. Risk: The Top 10 AI Risks Every Leader Must Track
16. Security First: PII, Prompt Injection, Data Leakage
17. Prioritization: Quick Wins vs Strategic Bets
18. Your First AI Team: Roles, Structure, Reporting Lines
19. Selling AI Internally: Winning the Skeptics
20. Level 1 Capstone & Comprehensive Assessment

Turn opportunities into prioritized, ROI-backed use cases.

1. From Literacy to Strategy: What AI Strategy Actually Is
2. Building Your AI Point of View
3. The 12-Month Roadmap That Survives First Contact
4. Pilot Design: Goals, Guardrails, and Going / No-Going
5. Vendor Evaluation at Depth: The 25-Question Deep Dive
6. Build vs Buy vs Partner: The Decision Tree
7. Data Strategy for AI: Beyond Inventory
8. OKRs and KPIs for AI: What to Measure Without Theater
9. AI in the Five Functions: Finance, Marketing, Ops, HR, Sales
10. The Agentic Strategy Shift: From Chat to Action
11. Designing AI Governance Light Enough to Stick
12. AI Portfolio Management: A Portfolio of Options
13. AI Maturity Models: Where Are You, Really?
14. Model Selection at the Strategy Level
15. The AI Business Case for the Board
16. Aligning AI Strategy with Corporate Strategy
17. M&A and AI: Diligence in the Era of Embedded Models
18. Strategic Partnerships in the AI Ecosystem
19. Seven AI Strategy Pitfalls That Sink Year Two
20. Level 2 Capstone: The 12-Month AI Roadmap

Select vendors and stand up governance.

1. Implementation Reality: From Strategy to Shipping
2. Building the AI Platform: Gateway, Models, Observability
3. Change Management Deep Dive: The 12 Plays
4. Designing Pilots That Graduate to Production
5. Agentic Deployment in Practice
6. Copilot Rollouts: The 90-Day Playbook
7. MCP and the Composable AI Stack
8. Human-in-the-Loop: Designing the Handoff
9. Prompt Libraries and Style Guides at Scale
10. KPIs, Monitoring, and the Five-Category Dashboard in Practice
11. Evaluations: How You Know AI Outputs Are Actually Good
12. Incident Response for AI Systems
13. Vendor Onboarding and Ongoing Management
14. Scaling from 3 Pilots to 30: The Discipline Shift
15. Embedding AI in Core Business Processes
16. Training Programs That Actually Stick
17. Reskilling and the Future of Work in 2026
18. AI Cost Optimization in Production
19. Customer-Facing AI: The Higher Standard
20. Level 3 Capstone: The Pilot Launch Playbook

Scale AI and lead adoption across teams.

1. Why Governance Is the Year-Three Differentiator
2. NIST AI RMF Deep Dive: Govern, Map, Measure, Manage
3. EU AI Act Compliance in Practice
4. US AI Regulation in 2026: Federal Posture and State Patchwork
5. Bias, Fairness, and Algorithmic Accountability
6. Privacy, PII, and Data Sovereignty
7. Intellectual Property in the AI Era
8. AI Insurance and Liability Frameworks
9. M&A in 2026 Revisited: AI Diligence at Depth
10. AI Sustainability and Environmental Impact
11. Building an AI Center of Excellence (Without Creating a Bottleneck)
12. Reporting AI to the Board: Cadence, Format, Content
13. AI Crisis Communications: The First 24 Hours
14. AI and the Workforce: A 5-Year Horizon
15. AGI Preparedness for Executives
16. Building a Competitive Moat When Models Are Shared
17. AI Procurement Discipline at Scale
18. AI Ethics in Practice: From Principles to Repeatable Decisions
19. The 5-Year Executive Playbook
20. Level 4 Capstone: The AI Governance Charter