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
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 — Applied AI Lead, Staff Software Engineer at Maersk.
Topics Covered
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.