You Don't Need a Model of Your Board
Why executives should train their own read of the room rather than outsource stakeholder prediction to AI, and the augmentation test for judging any decision-support tool.
You now think with three systems. Only two of them are yours. System 3 is AI, an external layer of decision-making outside the human brain. I study both sides of that meeting point: how human judgement holds up, and how agentic systems should be designed to hand decisions back.
Most of the field works one system at a time. Cognition here, wellbeing there, AI strategy somewhere else. I work where the three meet, because that is where a decision is actually made, and where it actually breaks.
About
I'm a decision scientist. I finish an Executive MSc in Behavioural Science at the London School of Economics in December 2026, and my work sits between behavioural science and the design of AI systems.
I run Behaviorist, which works on the points where an AI system is allowed to act on its own and where it has to stop and ask a person. Before that I built PeopleNotResumes, which looks at how candidates actually make decisions rather than what their CV claims.
I write here about one problem: what pressure does to judgment, and what happens when a machine is standing by to help.
You now think with three systems. Only two of them are yours.
Pressure decides which of your systems you can reach. Drag the slider.
You're making a decision.
Decision quality under pressure, for people whose calls carry weight, and who now make them alongside AI.
Through Behaviorist, the human side of agentic AI: when a person should step in, whether they are actually thinking, and whether their decision changes the system.
Open questions on human judgement alongside machine cognition, starting with the Behaviorist lab's research agenda.
Work
Two practices and one advisory role, held together by one question: where a decision should sit with a person, and where it can safely sit with a system.
Decision architecture for agentic AI systems: where an agent is allowed to act on its own, and where it has to stop and ask a person.
Hiring judged on how a candidate actually decides under pressure, rather than on what a CV claims.
A nonprofit teaching metacognitive skill to executives and workplace leaders inside organisations. Attention and breath practices first, then noticing thought patterns as they arise, then applying that to real decisions under pressure. Programs run across the US and UK and are measured with the CAWI Index, their Compassion at Work Inventory.
Their premise sits next to mine. AI now handles much of the drafting and first-pass analysis, so producing thinking is no longer the bottleneck. Judging it is.
Under pressure the slow part goes first. The gut stays, and now it has a research assistant. It asks for a memo and gets one: confident, well sourced, and built around the answer it already had. Nobody in the room experiences this as bad judgment. It feels like moving fast.
Which is why measuring people doesn't fix it. Nobody on your team got worse at thinking. They lost access to it.
Research
Why executives should train their own read of the room rather than outsource stakeholder prediction to AI, and the augmentation test for judging any decision-support tool.
The physiological mechanism behind executive judgment failing under pressure, why heart rate variability tracks it, and how AI changes the failure mode rather than fixing it.
Why a boardroom's collective state, not the merits of the proposal, often decides the vote, and how a confident AI output becomes the easiest way for a dysregulated room to avoid its own disagreement.
System 3 is artificial cognition outside the human brain. How Systems 1 and 2 stay engaged when the machine supplies an answer, so it gets evaluated instead of absorbed.
Contact
I work with leaders, organisations and researchers on how people think alongside AI. Write to me and tell me what question or decision is on the table.