AI Investment and ROI Masterclass
A hands-on masterclass on evaluating, justifying, and measuring the return on AI investments — from business case to post-deployment value tracking.
Course Overview
AI investments require rigorous evaluation and ongoing measurement. This masterclass gives leaders the tools to build compelling business cases, estimate ROI, secure funding, and track value realization after deployment. Through worked examples and exercises, participants develop the financial and analytical skills to make confident AI investment decisions.
Target Audience
Executives, finance leaders, strategy directors, investment committee members
Prerequisites
Basic financial literacy. Familiarity with AI use cases is beneficial.
Learning Objectives
- Build a structured business case for AI investments
- Estimate costs, benefits, and ROI for AI initiatives
- Identify and quantify intangible AI benefits
- Track value realization post-deployment
- Communicate AI investment rationale to stakeholders
Key Modules
- The AI Business Case Framework
- Cost Estimation for AI Projects
- Benefit Identification and Quantification
- ROI Calculation Methods for AI
- Value Tracking and Post-Deployment Measurement
- Communicating AI Investment to the Board
Learning Outcomes
- A business case template for AI investments
- An ROI calculation framework for AI projects
- A value tracking methodology
- Skills to present AI investments to decision-makers
Your Instructor
Dr. Hussein Mustapha
AITECH Academy Faculty
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