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The Real Price of Intelligence on Tap: Cracking Usage, Economics & Control
Your tools are in, your data's sorted, the restructuring is done. What arrived instead was a bill that keeps climbing, with no clear view of what's driving it. Work a person does inside a license behaves nothing like AI agents running autonomously, yet most organizations manage both as one thing. This session covers where the meters go, the governance that keeps it under control, and the decisions that still stand in two years. Anyone can now spend on capacity without asking permission. So whose budget is it to control, and how?
Learning Objective 1
Identify the primary drivers of AI costs and apply practical approaches to track usage and measure unit economics by task, team, or type of work—not simply by seat.
Learning Objective 2
Evaluate AI-enabled processes and usage patterns to identify waste, duplication, and low-value work, and determine where process optimization should come before scaling AI.
Learning Objective 3
Develop governance frameworks that establish clear ownership, spending controls, and usage thresholds that account for how AI usage and costs will evolve as adoption scales.
Access Level
HR Executive Strategy Summit Pass