---
title: "Tribal Dungeons of Global Shipping: AI Agents at Global Scale"
category: "talks"
date: "2026-07-01"
time: "11:10am-11:30am"
track: "AI-Native Enterprises"
room: "Leadership 1"
speakers: ["Dmitry Buykin"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "AI-Native Enterprises"
scheduleRoom: "Leadership 1"
scheduleLabels: ["AI-Native Enterprises", "Leadership 1", "session", "confirmed"]
---
# Tribal Dungeons of Global Shipping: AI Agents at Global Scale

## Conference Context
- Date/time: 2026-07-01 · 11:10am-11:30am
- Track/room: AI-Native Enterprises · Leadership 1
- Speaker(s): Dmitry Buykin
- Session type/status: session · confirmed

- Track: AI-Native Enterprises
- Room: Leadership 1
- Session type: session
- Status: confirmed

## Session Description
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.

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[dmitry-buykin]]

## Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.

## Synthesis
### Synthesized Breakdown
# Tribal Dungeons of Global Shipping: AI Agents at Global Scale ## Conference Context - Date/time: 2026-07-01 · 11:10am-11:30am - Track/room: AI-Native Enterprises · Leadership 1 - Speaker(s): Dmitry Buykin - Session type/status: session · confirmed - Track: AI-Native Enterprises - Room: Leadership 1 - Session type: session - Status: confirmed ## Session Description 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. ## Media Evidence No related AI Engineer channel video found yet.

### Speaker And Company Context
- [[dmitry-buykin|Dmitry Buykin]] — Applied AI Lead, Staff Software Engineer at [[maersk|Maersk]].

### Topics Covered
- [[agent-security]]
- [[ai-sandboxes]]
- [[coding-agents]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.