The AI ROI Problem Is Rarely the Model

Episode notes

AI programmes often fail to deliver financial returns even when the underlying models perform well. The real constraint frequently lies in the organisation’s ability to convert technical capability into measurable business value. This episode explores how workflows, decision rights, data, governance and incentives determine AI ROI. TLDR / At a Glance • The AI Adequacy Threshold • Models as operational components • Workflow and decision bottlenecks • Data access and integration • Governance as value infrastructure • Agentic AI operating requirements Leaders should diagnose the binding constraint, redesign the operating model and define how efficiency gains will translate into revenue, cost, quality or capacity. Support the show If you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect. Website: Book a call: Kieran Gilmurray | LinkedIn Substack: Amazon AI Transparency Notice: This podcast uses a hybrid format.

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