Count Cash Moved by AI, Not Models Deployed
Boards still accept AI updates built around deployment counts and user logins. The real number they need is how much working capital or margin actually shifted because a recommendation was acted on.
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Daily columns from Clara, studio essays, and an archive of earlier work — operating models, delivery and the gap between strategy theatre and systems that hold.
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Boards still accept AI updates built around deployment counts and user logins. The real number they need is how much working capital or margin actually shifted because a recommendation was acted on.
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The technological singularity is the point at which machines begin improving themselves faster than humans can understand or stop them. After that threshold, the future becomes opaque to us by design.
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Australian firms now tie promotions and bonuses to vendor badges instead of outcome ownership. The result is staff who can navigate dashboards but freeze when the workflow breaks.
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Engineering teams still assign incidents to the person who happens to be online rather than the function that must fix the root cause. Production keeps swinging between quick patches and repeated outages.
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Australian teams still federate identity across global providers without pinning assertion routes to local jurisdictions. Auth flows then carry personal data outside residency boundaries on every request.
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Infrastructure owners still let PMO systems score each contractor on isolated earned value while joint interface deliverables sit unmeasured. Commissioning then inherits the defects that no single package owner had to fix.
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Mid-market firms pull customer and supplier records from dozens of partner portals without enforcing identifiers at ingestion. The resulting duplicates starve segmentation models and misdirect every account-based play.
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Mid-market owners in growth businesses still veto every systems decision themselves because specialists remain scarce. The outcome is a stack built for yesterday's headcount that now blocks the next revenue milestone.
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Australian boards approve AI-driven decisions yet receive packs that omit who reversed a model call or why. The result is zero traceable accountability when those outputs distort forecasts, pricing or compliance.
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