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What is an AI business case?
An AI business case is a structured assessment of an AI project in terms of its economic benefits and the required investments. It answers the key question: Is the project worthwhile—and why?
Structure of a Business Case: Initial Situation & Objective, Benefit Calculation (revenue growth, cost reduction, time savings, risk reduction), Cost Calculation (setup, operation, change management), Economic Viability Calculation (ROI, payback period, NPV), Risks & Assumptions.
A distinctive feature of AI projects: uncertainty. The accuracy of models, adoption by employees, cost per inference—many factors are not precisely known at the outset. The business case therefore relies on scenarios and clear assumptions.
For small and medium-sized businesses, a pragmatic, iterative approach makes sense: smaller cases per use case, clear metrics, and regular recalculations—rather than a one-time, large-scale calculation.
Best Practices for AI Business Cases
These six principles make business cases robust:
- Iterative rather than one-time: Recalculate the business case regularly—don’t treat it as static.
- Use conservative estimates: Underestimate benefits, overestimate costs—positive surprises are better than negative ones.
- Fact in change management: Adoption takes time and money—don’t forget that.
- Involve the business unit: Benefit estimates must be validated by the business unit.
- Measure the baseline: Collect baseline data before launch—otherwise, success cannot be measured.
- List non-monetary benefits: Not everything is quantifiable—trust and being a pioneer matter.
Common Mistakes in AI Business Cases
We often see these pitfalls:
- Overestimated Benefits: “We’ll save 50 percent of the time”—without any evidence. Realism builds trust.
- Overlooked Costs: Maintenance, retraining, and change management are left out of the equation.
- No Baseline: Without actual figures, success can’t be measured—the case remains mere speculation.
- Best-Case Scenario Only: Without risk assessment, the case becomes unrealistic.
- No performance measurement in operation: The business case is created before approval but isn’t reviewed afterward.
Simple ROI vs. TCO vs. dynamic calculation
A comparison of three calculation approaches:
- Simple ROI: Benefits minus costs, divided by costs. Fast, but imprecise.
- TCO: Total Cost of Ownership—all costs over the lifecycle. More realistic.
- Dynamic (NPV): Net present value analysis factoring in the time value of money. For investment decisions.
Business Case for Your AI Project
In a free initial consultation, we’ll structure your AI business case and provide benchmarks from comparable client projects—including benefit and cost estimates.
As an AI partner for small and medium-sized businesses, we help make business cases ready for approval—with clear assumptions, scenarios, and a measurement framework.
What We Offer
- AI Consulting — Strategy and Business Case Developed Together.
- Inference Costs — the most significant cost item in operations.
- AI Monitoring — Measuring the business case in operation.
- AI Strategy in the Glossary — the overarching framework.
