Insights
Thinking from the WAJD team
Papers on the decisions that are genuinely hard: how much of your supply chain you can actually see, whether your resilience plan would survive being tested, and what a digital twin has to do to be worth trusting. Written for the person who has to make the call, not for a search engine.
Autotwins
Twins that build themselves, and act.
A twin nobody maintains is a twin nobody trusts. What it takes to make one assemble itself, prove its own accuracy, and carry agents that can act inside guardrails.
Autotwins · 12 min read
Autotwins
Most digital twins die of maintenance. The three layers of a twin that assembles itself from your systems of record, measures its own fidelity, and carries agents that act within limits you set.
Read the paperAgentic AI · 9 min read
Agentic AI in operations
From dashboards to decisions: software that perceives, reasons and acts on the operation, safely, with guardrails and people in control.
Read the paperYour topic
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Suggest a topicSupplier risk and resilience
The exposure that stops you is rarely on the register.
Finding the concentration hiding below tier one, keeping supplier risk live rather than annual, and testing resilience hard enough that the test can fail.
Risk & resilience · 9 min read · PDF
The 95 risks and the supply chain
The National Risk Register 2026 gives you 95 fully specified scenarios. Almost none land on you directly: they arrive through a supplier. How to hold all 95 against a supplier book, and answer the only question that matters.
Read the paperRisk & resilience · 10 min read
Two suppliers, one factory
Why dual sourcing at tier one is often an illusion, how sub-tier convergence is actually discovered, and why ranking suppliers by spend hides your worst exposures.
Read the paperRisk & resilience · 10 min read
Severe but plausible
A continuity plan that has never failed a test has never been tested. Impact tolerances that bite, dependency maps that stay true, and scenarios designed to break something.
Read the paperRisk & resilience · 8 min read
Continuous third-party risk
Why point-in-time supplier checks fail, and what continuous, AI-assisted monitoring looks like across cyber, financial and ESG signals.
Read the paperManufacturing · 8 min read
Engineering manufacturing resilience
Treating resilience as something to engineer: early warning from equipment, supply and quality signals that keeps the line running.
Read the paperData foundations
None of it works without the backbone.
Twins, agents and live risk monitoring all rest on the same thing: data that arrives reliably, means what it says, and can be observed when it does not.
Data & AI · 12 min read
Building the digital backbone
Moving to a Databricks-centred lakehouse, joined by middleware and observed with Grafana, leading on the data migration path and agentic AI.
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