Abstract
With agentic AI systems, as AI agents that can plan, decide, and act on their own, become more practical, businesses are investigating how they can revolutionize enterprise processes. However, not every issue calls for the intricacy and independence of AI agents. Many would benefit more from straightforward AI models or conventional rule-based automations. In this paper, we present a comprehensive methodology for evaluating business scenarios to determine if they align with agentic traits. With agentic traits as its foundation, the proposed method provides a scoring mechanism, an agentic system architecture, and structured user prompt generation to collect context. This approach enables decision-makers to distinguish between scenarios that are better suited to conventional AI methods and those that are more suitable for agentic autonomy. To help well-informed decisionmaking, this effort also integrates responsible AI techniques, including PII redaction, transparent scoring, and explanations for every process step.