Measuring AI-Enabled Success: 3 KPIs Leaders Should Track

Organizations are increasingly incorporating AI into their operations, which necessitates a shift in governance practices to ensure secure, efficient, and innovative use of these technologies. Leaders are encouraged to create "paved roads," or secure, pre-approved pathways that integrate security controls and automated protections into AI workflows, thus enabling rapid innovation within safe parameters. To effectively measure AI-enabled success, three key performance indicators (KPIs) are recommended: the time from idea to production deployment, employee adoption rates of approved AI tools, and the number and severity of security incidents prevented. These KPIs collectively ensure that as deployment speed increases, employee adoption rises, and security incidents decrease, organizations can successfully balance speed and security, transforming potential bottlenecks into competitive advantages. Establishing baselines, implementing secure pathways, and continuously optimizing based on real data are crucial steps for organizations seeking to win with AI by aligning security and innovation efforts.