ROI
The ratio of net profit generated to investment cost, serving as a key metric to measure the economic viability of a project. When adopting AI, it quantifies and evaluates multifaceted business value, including productivity gains, revenue growth, and risk reduction, rather than just simple cost savings.
Detailed explanation
Why It Matters in Tool Selection
AI adoption is characterized by high initial infrastructure and training costs, with benefits appearing incrementally. Selecting tools without a clear ROI framework can lead to 'tech bloating'—incurring expenses without realizing real bottom-line improvements—and make it difficult to sustain the project.
Key Considerations in ROI Evaluation
- Does it include hidden costs (TCO) such as data preparation, security configuration, and API calls in addition to the direct subscription fee?
- Does the saved time lead to actual revenue growth or reduced opportunity costs, rather than just 'saving time'?
- Is the cost of human resources needed to review AI hallucinations or errors factored into the calculation?
- Will the cost of integrating the tool with legacy systems exceed the budget?
Real-World Measurement Example
For example, if introducing an AI customer service chatbot with a monthly subscription of 5 million KRW reduces agent workload by 30%—yielding labor savings of 12 million KRW per month and a 5% reduction in annual customer churn (valued at approximately 100 million KRW)—it is evaluated as achieving a high ROI relative to the costs.
Commonly Confused Terms
TCO (Total Cost of Ownership)
Refers to all tangible and intangible costs incurred from acquisition through maintenance to disposal, focusing on expenses rather than returns.
VOI (Value on Investment)
A concept that includes intangible values that are difficult to quantify, such as brand awareness, enhanced data security, and employee satisfaction, in addition to financial returns.