Tribal Dungeons of Global Shipping: AI Agents at Global Scale
Dmitry Buykin
- When
- Thursday, July 211:10 AM – 11:30 AM · 20 min
- Where
- Leadership 1San Francisco, CA · imported from ai.engineer's public schedule feed
About this session
Most “AI agents in production” talks skip the part where you have to turn distributed operational knowledge into something an agent can execute safely. This is that part: a practitioner report from a global logistics case-processing project at Maersk, focused on SOPs-as-code, evaluation UX, guardrails, replay-based testing, and SME refinement loops.
The talk covers why versioned, country-aware SOPs beat prompt engineering at scale; how SME corrections become safe workflow changes; why classifier routing and SOP execution must stay separate; where agents under-deliver against demos; and why most of the engineering effort goes into evaluation, replay, and guardrails rather than model prompting.
Speaker
Applied AI Lead, Staff Software Engineer, Maersk
Dmitry Buykin builds production AI agent systems that turn frontline tribal knowledge into executable SOPs, tool calls, evidence trails, and evaluation loops across 100+ countries. Before enterprise AI agents became a trend, Dmitry worked on AI/ML adoption at DataRobot and on real-time systems in finance, including payments infrastructure in Nordic banking and algorithmic high-frequency trading systems at Deutsche Bank, where latency, correctness, and risk controls mattered at every step. He has 25+ years of experience building distributed systems, data platforms, and ML/AI products across logistics, banking, fintech, cybersecurity, and telecom, with prior roles at Nordea, Danske Bank, Oracle and several startups. Dmitry studied Applied Mathematics with a focus on mechatronics and the simulation of magnetic-levitation transport. He also leads the Applied AI Chapter at Maersk and runs bootcamps, helping software engineers move from LLM demos to reliable production systems.
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