Dexory and Descartes Push Orchestration Into the Operating Layer
Supply chain orchestration is evolving from a control-tower concept into the live decision layer that coordinates execution across the warehouse and network.
What is this trend?
Warehouse and logistics orchestration is becoming the operating layer that coordinates robots, WMS/WES/WCS, sensors, and transport exceptions in real time.
- Orchestration is shifting from point automation to system-wide decision making.
- Inventory visibility is now an operational input, not just a reporting metric.
- AI is increasingly validating, sequencing, and explaining execution decisions.
- Teams need to govern handoffs and rules across warehouse, yard, and transport.
- The advantage is moving to faster exception response and tighter flow control.
What’s the latest?
Iron Mountain’s Dexory rollout now spans four UK warehouses, with robots scanning up to 16,100 locations per hour and reaching racks 18 meters high, turning inventory visibility into a multi-site operating input.
How it developed
Go deeper
Curated long-form picks on this trend — podcasts, videos, and analysis, by seniority.
If you're an individual contributor

15‑Minute Systems‑Thinking Exercise to Map AI Tasks
How-to on Substack for systems thinkers: map an AI agent workflow (inputs, steps, review) to execute tasks.
The AI Maker · Substack
Read →How an entire supply chain goes dark at the dock door
Explainer news piece on dock-to-stock visibility gaps and RTLS turning warehouse location into orchestration actions.
American Journal of Transportation · News
Read →
Lifecycle Management for AI Agents
How-to on managing AI employees via a six-stage lifecycle for hiring, governance, performance, and retirement.
Work3 - The Future of Work · Substack
Read →If you manage a team
Redesigning the Operating Model: Shifting from AI Tool Rollouts to Workflow Integration
News analysis interview with Anand S on redesigning AI operating models to embed execution workflows and governance.
CXOToday.com · News
Read →
Microsoft releases new AI playbook for enterprises with real-world examples, and it reveals a surprising 'moat' you may already have
News analysis detailing an enterprise AI playbook: workflow redesign, shared eval/orchestration layers, and a data moat.
VentureBeat · News
Read →Why the Human Side of Automation Matters
News explainer on why human accountability and governance shape AI execution systems and automation autonomy.
ARC Advisory · News
Read →If you lead the organization
Automate, Augment, or Orchestrate: A Framework for Deciding Where AI Belongs - The National CIO Review
News analysis from CIO Review outlining automate/augment/orchestrate AI modes and governance for agent execution systems.
The National CIO Review · News
Read →AI Reinvention Demands Leadership‑Driven Work Charts
Podcast analysis with Dave Wright and Brian Solis on AI dispatch workflows, governance, and human-in-loop trust.
DisrupTV · Podcast
Listen from 22:44 →Enterprise AI Is Shifting From Models to Systems Architecture
News analysis on enterprise AI systems architecture—governance, orchestration, and monitoring replacing model selection.
Global Banking & Finance Review · News
Read →