Oracle Industry Applications Executive: Agentic AI Risk Has Shifted from Design to Runtime, Requiring Team Structure Changes
Simon de Montfort Walker, Executive Vice President of Industry Applications at Oracle, stated at AI World 2026 that models are no longer the center of agentic architecture; enterprise logic within applications is. The true bottleneck is not technical but organizational: as building becomes cheap, who is responsible for architecture, hardening, and security? He outlined specific practices of a 'brigade system' and cited a cautionary lesson from the APEX low-code platform.
At Oracle AI World last year, Simon de Montfort Walker was discussing how frontier models could only cover 60% of industry application needs, with the remaining 40% being a technical challenge. This year, sitting at the same event, his focus had shifted. De Montfort Walker, Executive Vice President of Industry Applications at Oracle, argued that the model is no longer the center of gravity in this ecosystem; the application is. Applications contain vast amounts of enterprise-level logic—authority matrices, usage rights, and deterministic input/output processes. Generic models reach 100% effectiveness on use cases precisely because they become users of this application logic, rather than replacements for it.
Consequently, Oracle is placing greater emphasis on its application business. Over the past year, the work has focused less on the models themselves and more on their runtime environment: what is running, where, who is running it, and within what boundaries it operates.
From Design to Runtime: Where the Risk Shifts
De Montfort Walker used a financial regulatory analogy to explain this shift. At a financial services summit in London last week, he described traditional compliance assurance:
"Regulator, here is how our system will work. Here is the input, here is the output, and here is why you should feel comfortable."