To ensure the long-term success and sustainability of AI initiatives, companies should focus on five key areas: diverse teams and representative datasets; ethical and risk governance frameworks for AI; modernized data policies granting access to protected data where needed; monitoring and troubleshooting ML model performance in real-world scenarios; and growing internal visibility, opening the black box, and quantifying AI ROI. By addressing these areas, companies can balance the power and potential peril of AI, maximizing positive outcomes for customers and society at large.