WORKING LOG
Writing on AI-native operations, global GTM, research systems, and the questions that remain open.
A source-bounded Airbus × Palantir case analysis: the A350 challenge was not merely integrating data about five million parts, but making remaining work, priorities, constraints, and authority visible enough for teams to decide—and then expanding that capability into Skywise.
A source-bounded BP × Palantir case analysis: what endured was not one autonomous failure-prediction model, but an operating foundation connecting real-time data, digital twins, four operational views, recommendations, human decisions, and auditability.
A source-bounded Tampa General case analysis: the hospital internally estimates that nearly 900 additional patients survived, but the public record more clearly supports an evolving loop of real-time screening, rapid-response nurses, clinical judgment, treatment timing, and feedback—not a standalone causal result from one AI model.
A source-bounded analysis of how Wendy's QSCC connected restaurant orders, inventory, production, distribution, recommendations, and human-triggered execution—and what the public case does not prove.
A source-bounded General Mills case analysis: how Project ELF narrowed an estimated 50 million annual operating decisions into a repeatable loop across more than 3,000 plant-to-warehouse orders each night.
Nick Zhu's working framework for redesigning how people, agents, and systems collaborate around business outcomes through work graphs, role configurations, decision rights, evidence, exceptions, and learning loops.
Nick Zhu's working framework for deciding when AI should augment a task, redesign a workflow, or reshape a broader business system across value, authority, evidence, technology, learning, and operating economics.
A working framework for understanding the Forward Deployed Engineer (FDE) as an operating interface between customer reality, production AI deployment, and reusable product learning.
Nick Zhu's working framework for building global GTM in Southeast Asia through market selection, global-local choices, routes to market, partner ecosystems, local delivery, and accountable learning.
Nick Zhu's working framework for examining the value, ownership, workflow, governance, adoption, operating model, reliability, and economics required beyond an AI pilot.
Nick Zhu’s working framework for examining AI-native business design across value creation, operating models, human-AI workflows, commercial models, technology, governance, and human authority.
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