High-agency leaders face too many automation ideas and too little clarity about where to commit limited engineering and human attention. This episode offers a practical, repeatable framework to size and prioritize agentic projects in ten minutes. You’ll get one core insight—prioritization must balance marginal economic value, strategic optionality, and operational cost of failure—and three compact supporting levers: a simple ROI proxy, a strategic-weight multiplier for optionality and knowledge capital, and a risk-adjusted rollout cost. I walk through how to score opportunities, build a ranked matrix you can use in a single spreadsheet, and convert the ranking into a 1-week experiment plan that yields decision-grade signals. The result: faster, safer deployment of agentic systems that actually increase leverage and preserve optionality instead of adding noise or technical debt.