AI for Business Leaders

AI is no longer a side project. For $1M–$50M businesses, it is a strategic lever that must be evaluated with the same rigor as any other investment.

What You’ll Learn

• How to read the AI landscape without getting lost in hype
• A repeatable framework for spotting high-value AI opportunities
• How to build business cases, budgets, and timelines for AI work
• Governance and risk questions every leader should ask

Module Breakdown

1. The AI Landscape for Business
   Map the players, technologies, and trends that matter for mid-market organizations—without drowning in jargon.

2. Identifying AI Opportunities
   Learn how to scan your value chain for workflows where AI can meaningfully improve revenue, margin, or risk.

3. Building a Business Case for AI
   Translate ideas into numbers: scope, cost, expected impact, and simple ROI models that boards and investors understand.

4. Managing AI Projects
   Understand how AI projects differ from traditional IT work, including data dependencies, experimentation, and vendor selection.

5. Measuring AI ROI
   Define leading and lagging indicators, set baselines, and avoid vanity metrics so you know what is really working.

Who This Is For

Founders, CEOs, general managers, and functional leaders who are responsible for strategy, P&L, or transformation efforts.

Prerequisites

Basic AI awareness and comfort reading financial metrics.