BLETCHLEY LABSLAB NOTES
Lab Notes.
Working notes on applied AI: governance, asset management, retrieval systems, and what it takes to put machine intelligence into production.
Governing autonomy at the asset face: a New Zealand perspective on agentic AI in government and highly regulated asset management
Agentic AI can act on water and electricity networks, not just recommend. Why New Zealand's voluntary, risk-based governance architecture is a workable starting point only if extended to cover consequential autonomous action.
16 min readAI governance for infrastructure asset management
Translating responsible AI research into practical governance for NZ infrastructure asset managers: Algorithm Charter, Privacy Act 2020, LGOIMA, and Te Tiriti-aligned data governance.
4 min readAI is now critical infrastructure — and asset managers need to lead the buildout
The AI buildout mirrors the asset lifecycle we manage every day. Why AI itself has become an asset class demanding governance, lifecycle thinking, and stewardship.
2 min readFrom rules to RAG: building an agentic AI compliance assistant for AML/CFT
From rule-based keyword matching to a deployed, RAG-grounded, tool-calling compliance assistant in nine phases.
7 min readWhat Adam Smith knew about AI dependence (that we keep forgetting)
Sovereign capability, dependence, and what an eighteenth-century economist can teach us about national AI strategy.
6 min read