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.
Three structural failures from Australia’s $565M Robodebt scheme — no feedback loop, institutional silos, and automating rules that required human judgment — carry direct lessons for any government deploying AI into citizen-facing services.
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.
Independent executive advisory for senior leaders across government and corporate Australia. Diagnostic before design. Since 2011.
Who owns AI in the C-suite? Not one executive but four – CIO, CDO, CFO and business heads each claim it. Here is why, and how the CEO resolves it.
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.
From 15 December 2026, every in-scope APS AI use case must pass a formal DTA Impact Assessment. The capability the policy assumes is thin, unevenly distributed, and not on any agency’s workforce plan. APRA and ASIC now expect the same.
AI adoption stalls on unchanged workflows, incentives and trust conditions — not the technology. What executives must redesign to unlock enterprise value.
AI governance fails when it is added on top of a Plan-Build-Run operating model. This whitepaper sets out where human oversight belongs, who owns the instructions AI agents follow, and the order in which executives change them.
© 2019 All rights reserved
