Efficiency was the easy part.
Most organisations started agentic AI in the same place, and for good reason. Workplace productivity first, then task automation, then better analytics. Those were the wins that justified the spend.
The harder question is what happens next. A single agent doing one job well is a pilot. An advantage only appears when agents are orchestrated across functions, connected to the systems that actually run the business, governed properly and trusted by the people who depend on them. That is where most organisations are now stuck, and it looks the same whether you are running a bank, a utility, a hospital network, a logistics operation or a government department.
It is rarely a technology gap. It is an operating model, governance and talent question, and the answers are transferable between industries in a way most people underestimate. The finance team solving agent accountability has usually solved something the operations team is about to hit.
On Wednesday 2 September, Datacom, Microsoft and Innovatus Media are bringing a small group of Melbourne's senior leaders together at Privé to compare notes across sectors. Closed-door, Chatham House rules, three courses served throughout. No pitches and no presentations, just a table of peers being honest about what is working and what isn't.
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