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AI Productivity Leakage: How CFOs Can Convert Small Efficiencies into Hard-Dollar Returns
Monday, 01 March, 2027 / 01:45 PM - 02:15 PM AEDT
About the Session
Enterprise AI investments are overwhelmingly justified by projected employee time savings, yet CFOs face a persistent disconnect between theoretical minutes saved and realized financial value. When employees save an average of 5+ hours per week, more than two-thirds of that capacity silently dissipates into informal tasks, administrative sprawl, or "workslop" remediation.In this session, Nauman Abbasi unpacks the economic mechanics of AI Productivity Leakage and presents a framework to capture phantom capacity. Attendees will explore how to treat AI time savings as a corporate capital asset rather than an unmanaged employee perk, shifting enterprise performance governance from traditional input metrics (hours logged) to output-driven KPIs (quality-adjusted unit output, cost per completed task).
Finance leaders will leave with concrete strategies to convert latent hours into auditable margin expansion, lower operational unit costs, and top-line capacity.
• Surprise / Challenge Assumptions ("Wow Factor"): Challenges the comforting myth that "time saved equals money saved"; directly confronts executives with the reality that unguided AI adoption creates a "phantom capacity trap" where payroll costs stay fixed while diffuse time savings deliver zero accretive bottom-line impact.
• Fresh & Innovative: Introduces quality-adjusted output KPIs and unit-cost economics to replace obsolete 40-hour input tracking, providing CFOs with a playbook to actively reallocate recaptured workforce capacity toward strategic differentiators and revenue velocity.