Module 230 minutes

Building the Business Case

Build compelling business cases for AI investments. Quantify value and secure executive buy-in.

business-caseroiinvestmentjustification

✓Quantify AI business value
✓Build investment cases
✓Address stakeholder concerns
✓Secure funding and approval

Justify the Investment

AI requires investment. Build cases executives can't ignore.

Business Case Components

1. Problem Statement

Current pain points
Cost of inaction
Competitive risk

2. Proposed Solution

AI approach
Implementation scope
Timeline

3. Financial Analysis

Implementation costs
Ongoing costs
Expected benefits
ROI calculation
Payback period

4. Risk Assessment

Technical risks
Change management
Mitigation strategies

5. Success Metrics

KPIs to track
Target improvements
Measurement approach

ROI Calculation

Benefits: Cost savings + revenue increase
Costs: Technology + labor + training
ROI = (Benefits - Costs) / Costs × 100%

Addressing Objections

"Too expensive": Show cost of NOT doing it
"Too risky": Start small, prove value
"Not ready": Outline readiness path
"Won't work here": Provide industry examples

Key Takeaways

→Quantify both cost savings AND revenue impact
→Include change management costs in budget
→Start with pilot to prove value
→Show industry benchmarks and case studies
→Address risks proactively

Practice Exercises

Apply what you've learned with these practical exercises:

1.Build business case for one AI use case
2.Calculate expected ROI
3.Prepare executive presentation
4.Identify and address objections

Related Guides

→ Ai Myths And Facts

Learning Objectives