Your AI vendor contract isn’t agentic AI governance
Updated 17 October 2026. An AI addendum can allocate responsibilities. It cannot revoke a credential. That is the difference I want procurement conversations to keep in view.Contracts matter.…
The writing archive
AI accountability
I write about AI agents, governance and product decisions. Usually because a question won’t leave me alone. Have a different take? I’d like to hear it.
35 essays & field notes35 articles
The AI agent accountability gap nobody ships
Updated 17 October 2026. An agent has a task. A credential has an owner. A business process has someone responsible for the result. Those three facts need to…
The EU AI Act’s High-Risk Deadline Just Got Pushed to 2027
Updated 17 October 2026. The high-risk AI deadline moved, but the AI Act did not disappear into a drawer. Treating the change as a blanket pause is how…
Federal AI preemption: ask what replaces the state rule
Updated 17 October 2026. Preemption debates are about who may make rules and what replaces them. A claim that a proposal will create clarity needs to explain the…
Voluntary AI governance needs evidence of participation
Updated 17 October 2026. “Voluntary” describes participation. It does not, by itself, tell you whether a programme produces useful evidence. The harder question is what participants provide and…
An AI deregulation headline does not settle your obligations
Updated 17 October 2026. A political signal is not a deployment assessment. “Deregulation” can describe an administration’s direction without answering what a particular organisation must do with a…
The voluntary AI governance gamble is follow-through
Updated 17 October 2026. The gamble in voluntary governance is not simply that somebody can decline to participate. It is that a serious finding may have no clear…
AI harm needs an investigation, not a blame shortcut
Updated 17 October 2026. Who should investigate, who should help the affected person and who may be legally liable are different questions. Collapsing them into a single blame…
AI accountability needs a maintained legal register
Updated 17 October 2026. Earlier versions of this article discussed Colorado’s changes as a pending delay. The legislature now records SB26-189 as enacted. A legal register needs to…
AI policy coordination should preserve a route to remedy
Updated 17 October 2026. Coordinating AI rules can be useful. The test is whether a person affected by a consequential decision still has somewhere effective to take the…
AI accountability must survive the prioritisation meeting
Updated 17 October 2026. It is easy to agree that accountability matters. The interesting decision arrives when the work competes with a feature somebody can demonstrate on Friday.Make…
AI Act simplification: check the control, not the label
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
AI governance needs an owner, not another deadline
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
Colorado AI rules: documentation still has work to do
Updated 17 October 2026. Colorado’s 2026 changes should not be described as the disappearance of developer accountability. That earlier framing was too broad. The enacted SB26-189 includes technical…
A model evaluation is not a deployment evaluation
Updated 17 October 2026. Testing a model can reveal important capabilities and failures. It does not automatically establish what a particular product built around that model will do.Evaluate…
Turn AI governance into a control backlog
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
Stop mixing legal uncertainty with unfinished product decisions
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
The autonomous enterprise still needs an exception owner
Updated 17 October 2026. An automated workflow can complete many steps and still leave one awkward decision unresolved. That is where the organisation discovers whether autonomy came with…
Measure AI governance by demonstrated controls
Updated 17 October 2026. An adoption percentage and a governance percentage may measure different things. Subtracting them can produce a dramatic headline without producing a useful management decision.…
When AI capabilities change, revisit the threat model
Updated 17 October 2026. A more capable model can change the risk of a workflow without changing its interface. The product still looks familiar. The assumptions underneath it…
AI monitoring needs a response, not just a dashboard
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
Scenario planning for changing AI rules
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
Compare AI protections before and after a policy change
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
Agent governance starts at the action boundary
Updated 17 October 2026. An agent’s most important boundary is often the point where a suggestion becomes an action. That transition deserves a product decision, not an accidental…
Deferring AI governance work is a decision
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
Reuse AI frameworks, not unexamined conclusions
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
A written AI policy is not evidence of enforcement
Updated 17 October 2026. A written policy is a starting point. The question is whether a person or system behaves differently because it exists. Earlier unsourced market percentages…
Make AI risk classification reviewable
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
Manage AI governance exceptions properly
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
Read AI readiness surveys before repeating the numbers
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
Agentic AI liability: design the evidence before the dispute
Updated 17 October 2026. Imagine an agent making a consequential change that nobody intended. The first useful question is what actually happened. A confident explanation without records can…
Manage the AI compliance transition
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
AI transparency should help people decide
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
There is no single AI compliance clock
Updated 17 October 2026. This article has been revised to separate the policy timeline from the product argument. See the current AI Act timeline for the category-specific dates…
AI should support judgement, not replace the problem
Updated 17 October 2026. People forget the real problem they wanted to solve. Instead of using AI to complement their judgement, they start depending on it to supply…
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