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Pinching pennies on AI tokens is how AI transformation fails. Michael Laudon, Chief Product and Technology Officer at Quest Software, argues the real question is whether that spend produces measurable output, and no single metric answers it.
Michael joins Russ to unpack how Quest runs its AI transformation, from a dedicated AI center of excellence to a governance model tied to business objectives and a deliberate break with the past that immerses eager teams in AI-native work end to end.
Topics discussed:
Measuring AI value through combined metrics beyond token counts
Running an AI center of excellence for enablement
Tying AI transformation to business objectives and governance
Breaking with the past through AI-native project teams
Spreading AI proficiency with a land-and-expand pollination model
Preparing data and semantic layers so models perform
Splitting model strategy between bleeding-edge and commodity tasks
Blurring roles as developers, PMs, and QA converge
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