Writing
Put AI where a wrong answer costs a forecast miss, not a customer
I write from direct responsibility for enterprise delivery, commercial outcomes and technical teams. This note explains why useful enterprise AI belongs behind the glass: embedded in operational workflows, bounded by human review and measured by the hours it saves.
Full text forthcoming1 min read
Why useful enterprise AI belongs behind the glass: embedded in operational workflows, bounded by human review and measured by the hours it saves.
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For the operating model behind these ideas, read how I run delivery as a business →