Sep 1, 2026
Enterprise AI Has a Trust Problem, Not a Model Problem
Enterprise AI adoption is being constrained less by model capability than by a shortage of decision-ready evidence, human authority and accountable deployment practices.
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Essays
A collection of long-form writing exploring how organisations evaluate, trust and deploy artificial intelligence.
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Enterprise AI Has a Trust Problem, Not a Model Problem
Enterprise AI adoption is being constrained less by model capability than by a shortage of decision-ready evidence, human authority and accountable deployment practices.
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Deploying AI in Regulated Industries Without Breaking Compliance
A 10-Week Framework for Financial Services, Healthcare, Telco, and Regulated Enterprise. A structured guide to AI validation infrastructure, governance, and deployment readiness in high-stakes environments.
Latest Essays
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Jul 20, 2026
Where Human Judgement Still Matters Most
Human judgement matters most where interpretation, escalation, contestability, tradeoffs and responsibility shape whether an AI-supported decision deserves trust.
Jul 18, 2026
Trust Is Not a Feature of an AI System
AI trust is not a technical feature to be shipped. It is justified organisational reliance in a specific context, supported by evidence, human oversight and accountable institutions.
Mar 14, 2025
The AI Trust Gap: Why Capability Is Moving Faster Than Confidence
AI validation is not a technical checkpoint. It is the discipline that decides whether an organisation can trust a system enough to put it in front of customers, employees, and regulators.
Jul 08, 2025
Why Human Judgment Still Matters in AI Evaluation
Automated benchmarks are useful. They cannot tell you whether an AI system behaves well inside the messy reality of enterprise work.
Sep 22, 2025
What Enterprises Should Measure Before Deploying AI Agents
Validation is not a pass-or-fail stamp. It is a structured way to understand performance, limits, risk, and readiness across real use cases.
Nov 11, 2025
Agentic AI Needs Validation Infrastructure, Not Just Governance Documents
The honest version of AI validation starts with uncomfortable questions. What can fail, who notices, and what happens next?
Apr 09, 2026
Why Regulated Industries Cannot Treat AI Validation as a Checkbox
In regulated environments, the cost of a poorly deployed AI system is not just operational. It is reputational, legal, and deeply human. That changes what deployment readiness actually requires.
Jun 23, 2026
The Missing Infrastructure for AI
Why measuring models is no longer enough, and why the future of AI depends on better ways of measuring human judgement, trust and deployment readiness.
Jan 20, 2026
The Difference Between AI Safety, AI Security, and AI Trust
Strategy, AI validation, behavioural science, enterprise deployment, governance, and trust. These are the six lenses I keep returning to.
Jul 07, 2026
Beyond Benchmarks: Why AI Needs Better Evidence Before Deployment
Benchmarks tell us what AI can do. Organisations need to know whether to trust it. That distinction is becoming one of the most consequential questions in enterprise AI.
Jul 14, 2026
Before AI Can Replace Work, It Must Earn Trust
AI can already perform parts of the work people do. The harder question is whether organisations have enough evidence to trust it with consequential decisions.
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