Supply Chain Risk Intelligence
Practitioner notes and deep dives on early warning systems, operational resilience, supplier risk, and disruption management.
The Intelligence Gap: Why Supply Chain Monitoring Fails in 2026
A deep dive into why monitoring fails—and how N-tier mapping and agentic AI create a proactive decision window.
The Anatomy of a Supply Chain Disruption
How weak signals cascade into major failures—and a practitioner playbook to catch, contain, and recover before lead times lock you in.
Building Operational Resilience: A Framework
A pragmatic resilience framework: decision windows, playbooks, and metrics that turn disruption readiness into repeatable operations.
Early Warning Systems: Lessons from Manufacturing
What manufacturing teams get right about early warning: signal hygiene, escalation paths, and the “last responsible moment” to act.
The Role of AI in Supply Chain Risk Detection
Where AI actually helps (and where it lies): triage, signal fusion, explanation, and action orchestration—with sober guardrails.
Supplier Financial Health: Key Indicators to Watch
The financial distress signals that show up before missed shipments: practical indicators, thresholds, and how to connect them to exposure.
Governance and Accountability in Risk Management
Risk programs fail when nobody owns the next action. Here’s a governance model that actually works: RACI, cadences, and auditability.