Smart Scoping: How to Evaluate AI Automation Projects Before Implementation

AI automation projects frequently fail at the planning stage despite being technically viable, often due to unclear business cases and missing approval workflows. This practical framework combines ROI calculations with comprehensive checklists and failure scenario analysis to help teams qualify projects before investing engineering resources. By emphasizing milestone-based qualification and honest scoping conversations, organizations can eliminate waste and implement only automations with demonstrable business value.