Field notes on AI governance, responsible AI, the Navigator Framework™, and what it takes to keep humans in control of the agents they operate.
Essays on AI governance, responsible AI, the Navigator Framework™, and what it takes to keep humans in control of the agents they operate.
A twenty-five-year delivery leader walks through the digital transformation program that broke his playbook — and the six shifts that took him from managing milestones to orchestrating intelligent systems.
The moment that produced the practice — a room where the AI was wrong and nobody could name the accountable human. The observation that became the Navigator Framework. Why Orquestra AI exists for enterprises that must defend their AI, and for everyone else who will live with it.
What happens when a probabilistic execution model meets a deterministic delivery plan. A working note from a digital transformation that didn’t bend to the playbook I brought with me.
When half the team isn’t people anymore — when agents do the work and humans navigate it — the team plan has a different shape. Every agent named on the team plan, with a named human navigator beside it.
Token cost, model usage, agent runtime, experimentation overhead. The variables that don’t fit your effort × rate template, and how to put them in front of your CFO without losing the room.
From status decks to confidence levels, outcome probability, and decision options. What leadership actually wants from an AI-bearing program — and the artefact that delivers it.
A working translation of the controls into artefacts your delivery team can actually ship. Not a certification chase — a system design.
The EU AI Act is a response to how AI is being used and the impact that creates. The governance gap is not legal knowledge — it is operational.
Five failure patterns — prototype-to-production gaps, model drift, data drift, environmental change, accountability voids. Technical competency addresses some. Governance addresses all.
Organisations that aim only for AI compliance will get neither. The ones that build genuine governance get both — because compliance is the natural output of governance done properly.
AI incidents do not arrive through a separate channel. Seven questions to add to your existing IRP — activated when AI is involved.
Regulatory AI expectations are operational, not documentary. Five baseline expectations most organisations are not meeting.
One model wearing three hats is not three independent checks. Why same-model agentic pipelines create self-confirmation — and what real independence looks like.
A production operations guide: six scenarios to test, three setup decisions, quarterly cadence by risk class, and what your Diagnosis Success Rate tells you.