About this episode

James Milin, Co-Founder and CEO of Workhelix, joins Practical AI to make the case that enterprises are asking the wrong questions when it comes to AI investment. Rather than starting with "what can we automate?", Workhelix's approach begins at the task level — mapping every role to its constituent tasks and scoring each against AI applicability, replaceability, and dollar value.

The conversation covers the structural gap between deployment and value capture, why most internal AI business cases are built on assumptions rather than data, and how measurement — not more AI tools — is the unlock most enterprises are missing.

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