Lilly Tech Systems
AI Business Case Development
Learn to build compelling, data-driven business cases for AI investments. This course covers ROI frameworks, total cost of ownership analysis, risk assessment, and presentation strategies that win executive approval and board support for AI initiatives.
What You'll Learn
By the end of this course, you will be able to build and present a compelling AI business case that secures executive buy-in and funding.
ROI Framework
Apply proven ROI frameworks to quantify the expected returns from AI investments across revenue, cost, and strategic dimensions.
Cost Analysis
Build comprehensive total cost of ownership models covering technology, talent, data, operations, and ongoing maintenance.
Risk Assessment
Identify, quantify, and mitigate risks associated with AI investments including technical, organizational, and market risks.
Executive Presentation
Structure and deliver compelling presentations that win approval from C-suite executives and board members.
Course Lessons
Follow the lessons in order for the best learning experience, or jump to any topic you need.
1. Introduction
Understand why AI business cases differ from traditional IT business cases and the unique challenges of quantifying AI value.
2. ROI Framework
Learn frameworks for calculating AI return on investment including direct, indirect, and strategic value components.
3. Cost Analysis
Build detailed cost models covering initial investment, ongoing operations, and hidden costs of AI deployment.
4. Risk Assessment
Identify and quantify technical, organizational, regulatory, and market risks in your AI business case.
5. Presentation
Structure and deliver executive presentations that translate AI complexity into clear business value propositions.
6. Best Practices
Best practices for iterating on business cases, tracking actual vs projected ROI, and building credibility over time.
Prerequisites
What you need before starting this course.
- Understanding of basic financial concepts (ROI, NPV, TCO)
- Familiarity with AI and machine learning at a conceptual level
- Experience with business presentations and stakeholder management
- No coding or technical AI implementation experience required