How APS agencies sequence workforce population identification, classification, redeployment, and capability assessment under Australian employment legislation when transitioning to a product operating model.
Most organisations have deployed AI but few capture the returns. The Silo Tax — coordination overhead absorbed at functional boundaries — explains why, and what three structural moves can change it.
Operating model transitions don’t fail for a hundred different reasons. They fail in one of four structural ways — and applying the wrong fix costs more than the original problem.
Operating model transitions stall for four distinct structural reasons, each requiring a different intervention. A diagnostic sequence reveals which mode is operating.
AI pilots stall at scale because the AI operating model they need to land in — roles, workflows, decision rights, and incentive design — was never redesigned. The next executive act is not another pilot.
Only 5% of AI programs produce measurable value. The 60% majority deployed the tools and are producing nothing that shows up in the P&L. What separates the tiers is process redesign before deployment — not budget, not model choice.
The pilot-not-product pattern in enterprise AI is generated by the Plan-Build-Run operating model. One question changes what a CIO is actually approving.
Conway’s Law says systems mirror the org chart that built them. For AI, that means the org design you sign off now decides the architecture your teams can produce.
Gartner says 85% of organisations have declared product-centric delivery. Most have changed the language, not the model. Three structural decisions determine whether the shift has actually happened.
Creating an AI architect role compensates for an operating model gap. The role absorbs the symptoms but the structural problem remains. Here is what executives need to ask instead.
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