ActelosAI Logs
Perspectives & field notesPerspectives on AI-native businesses, the work behind them, and what we can learn from the field.
Editor’s pick
Perspective
ActelosAI’s perspective on moving beyond AI tools to business capability: purposeful work, clear human authority, client ownership and evidence-earned expansion.
Read articleIdeas to consider.
Work to learn from.
Topic
How can large language models improve availability, fresh-food waste, labor efficiency and store contribution through exception handling, shift handovers, operational guidance and promotion execution? Start with the work and verify the results.
Yufeng’s perspective on FDE: deliver capability the client can use, preserve field learning, and build on it within clear evidence and ownership boundaries.
Token efficiency is an engineering and business discipline: connect model consumption, context, caching and agent design to the cost of useful work.
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.
How ActelosAI connects outcomes, people, AI, systems and decision rights—and turns a work graph into the design of an operable business capability.
An ActelosAI perspective on choosing the right scope of change—and using Delta to turn one real business problem into capability, evidence and a bounded next decision.
How ActelosAI connects business reality, hands-on engineering and client-owned capability through FDE, with Delta guiding decisions and Forge supporting delivery.
ActelosAI’s perspective on moving beyond AI tools to business capability: purposeful work, clear human authority, client ownership and evidence-earned expansion.
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