A financial institution is building its first AI model inventory. Which attribute is MOST critical to capture for each model entry to support effective risk-tiering?

Here's the deal — b is correct because risk-tiering requires understanding a model's business purpose and the materiality of its role — what decisions it informs and the magnitude of potential harm from failure — which directly drives validation depth, monitoring intensity, and escalation thresholds. A, C, and D are technical implementation details that do not drive risk classification.