Thoughts from inside live AI programs.
Notes on governance, delivery, model decisions, workflow design, and what tends to hold up once the work leaves the workshop and enters the organisation.
5 signs your AI adoption is about to become a board problem
AI rarely becomes a board problem overnight. It builds quietly for a few quarters, and then one event drags it into the room. Here are the signs I watch for.
AI governance tells you what you cant do. Operating control helps you move faster
Most AI governance I see is doing the opposite of what it was meant to do. It is slowing the business down, and the best people are routing around it anyway.
Claude in a Microsoft-heavy company: the state of play in April 2026
The question isn't whether AI can help inside a Microsoft-heavy environment. It is whether you are willing to do the work required to make it reliable.
OpenClaw and the next agent interface: execution, risk, guardrails
Some projects change how you think about agents in five minutes. OpenClaw is one of them.
AI transformation for regulated firms: hype vs reality
The shift from AI-sceptic to AI-believer doesn't happen at a demo. It happens when a real workflow runs end-to-end and you can answer the questions that actually matter.
Claude Opus 4.6: what regulated firms need to change now
When the model starts behaving like a junior operator, the question isn't "should we try AI?" It is: are we ready for AI that actually does work?
Build your AI muscle: 6,000+ hours of practical lessons
The shift from "can it write an email?" to "can I use this under pressure?" is the whole game.
Culture eats AI strategy: regulated deployment lessons
The best AI strategy is a set of sensible guardrails, then an overinvestment in AI culture.
From shadow AI to approved patterns: a principal playbook
Shadow AI isn't a future risk. It is already in the building. The question is what you put in its place.
Micro-evals for fast model change: a licensee playbook
Vibe-based AI governance falls apart when models update monthly. Micro-evals are the cheap way to stay oriented.
Picking the first AI workflow: the three-day rule
If you can't ship the first workflow in three days, you picked the wrong first workflow.
AI readiness for regulated firms: what changes now
If "this will reshape the industry" still sounds like tech theatre, the reference point is the problem.
AI productivity without burnout: the AI vampire problem
There is a moment with agentic AI that feels incredible, and a second moment nobody mentions in vendor demos.
The Audit Trail Test: supervision-ready AI for compliance teams
A thought experiment every compliance and operations lead should run before any AI workflow goes live.