AI & governance
Give an agent a role, boundaries and a safe route to a human.
◆Insights
Knowledge from production
Architecture, delivery, AI governance and operating models without hype or abstraction.
◆Three reading tracks
Start with the decision you need to make
Insights are organised around production questions, not a news feed. Each track provides a coherent entry into the topic.
Architecture & data
Connect entities and systems through durable contracts.
Operational decisions
Turn events and exceptions into governed decisions.
Full catalogue
Insights shown: 7
01 / Playbook · 10 min
◆OPERATIONS
SCM and TMS: separating planning from execution
A practical model for what SCM decides, where TMS takes over and how execution exceptions feed replanning.
02 / Playbook · 12 min◆AI GOVERNANCE
Taking an AI agent to production
Quality gates, autonomy boundaries, audit trails and safe handoffs.
03 / Analysis · 9 min◆ARCHITECTURE
Transportation ontology: one language for operations
Connecting entities, events and decisions around the real transport process.
04 / Guide · 8 min◆OPERATIONS
Exception management beyond manual dispatch
Designing a queue where the system proposes and a human decides.
05 / Guide · 11 min◆AI GOVERNANCE
AI governance for operational business
A practical model for governing agents without slowing delivery.
06 / Research · 14 min◆AI GOVERNANCE
Digital twins in logistics
Moving from a static diagram to testing scenarios against a living network model.
07 / Analysis · 7 min◆ARCHITECTURE
Resilient integrations with data contracts
Why a data contract matters more than another point-to-point API.