Which component describes how the AI solution solves the problem?

• A. The problem the AI solution solves
• B. ROI expectations
• C. How it solves the problem
• D. Risks and mitigations

Answer: (C)

Describing how the AI solution solves the problem focuses on the method and process the solution uses to reach the goal. It covers the approach, including the model type or algorithms, how data is processed (feature engineering, data pipelines), how training and inference are done, and the decision logic that turns inputs into outputs. This component explains the actual mechanism—the steps and reasoning the system follows to produce results—so you can judge whether the chosen method is appropriate, reliable, and safe for the given task.

Understanding this helps you assess feasibility, transparency, and operability, since the effectiveness hinges on the specific techniques, data quality, and workflow used to solve the problem. In contrast, describing the problem itself explains what needs to be solved, ROI expectations relate to business value, and risks and mitigations cover potential issues and how to mitigate them.