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AI is sprinting ahead—but enterprise adoption and ROI are playing catch-up. In this episode, we unpack what’s real inside large companies: why frontline usage lags managers, where pilots stall, and how leaders are closing the gap between hype and productivity. We get practical on what works: redesigning end-to-end workflows (not just adding tools), moving to a product operating model with clear KPIs, metering AI consumption (FinOps), and building trust with governance and explainability. We also hit skills, training, and the “jagged frontier” where AI helps—or hurts—performance. If you own a P&L or lead change, this is your field guide to turning AI into outcomes.
By Gary AmbrosinoAI is sprinting ahead—but enterprise adoption and ROI are playing catch-up. In this episode, we unpack what’s real inside large companies: why frontline usage lags managers, where pilots stall, and how leaders are closing the gap between hype and productivity. We get practical on what works: redesigning end-to-end workflows (not just adding tools), moving to a product operating model with clear KPIs, metering AI consumption (FinOps), and building trust with governance and explainability. We also hit skills, training, and the “jagged frontier” where AI helps—or hurts—performance. If you own a P&L or lead change, this is your field guide to turning AI into outcomes.