HeyJaredThe Decision Environment
The Decision Environment is a weekly commentary series exploring authority, leadership and systemic governance.
- Indexed episodes, last 90 days
- 7
- Latest publication
- Sep 3, 2026
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- Earliest in this view
- Jul 6, 2026
Latest episodes
AI Decision Authority: The Decision Nobody Made (opens the original)
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The danger is that senior leaders lose decision control. AI-supported processes will bring speed, efficiency and stronger controls. But what happens when things stop being tidy and straightforward? Will the human in the loop be able to intervene quickly enough, have the necessary autonomy and authority, and prevent the worst from happening? In this commentary I look at AI decision authority in consequential decisions: what governance begins to look like in practice, how responsibility can collap
AI Is Getting More Autonomy. What Leaders Need to Redesign Before Scaling It (opens the original)
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AI agents are moving from assisting people to performing real work. So where should human judgement still sit, and when should the human get out of the way? In this episode, I look at BNY’s digital employees, Kantar’s 15,000 agents, recent Bank of England discussions, and perspectives from Andy Doyle and Michael Saylor to explore a harder question: what happens when AI becomes better at parts of the decision than the human overseeing it? I also give you six questions you can use to test one AI-s
AI Governance: Who Can Actually Stop the AI? (opens the original)
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A human can still be in the loop, be named as accountable, but what are they actually allowed to do when a real decision is being made? The Bank of England and FCA found that only 2% of reported AI use cases were fully autonomous, while 84% of firms had someone accountable for their AI approach. Yet questions around accountability remain. In this commentary, I look beyond what AI governance says on paper to what happens in practice when someone needs to question an AI recommendation, exercise th
Internal Authority in AI (opens the original)
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What happens when someone remains formally responsible for a decision but gradually becomes less able to challenge the technology influencing it? In this episode of The Decision Environment , I explore internal authority in AI decision-making: a person’s ability to trust and exercise their own judgement within the boundaries of their role, particularly when an AI recommendation appears confident, objective or institutionally preferred. I examine how human judgement can slowly be deferred to tech
Decision Authority Beyond Artefacts (opens the original)
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Organisations often assume that decision authority has been established because responsibilities, approval routes and accountability structures have been documented. AI implementation exposes the limits of that assumption. When an AI recommendation is challenged, new evidence emerges or professional judgement points in another direction, the real question is not simply whether a human remains involved. It is whether that person has the practical authority to change the course of action. In this
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