This is the post where two things I've been building separately finally meet. When I started the Intelligent Quality Leadership series earlier this year, I had a model I wanted to stress-test and a set of ideas I needed to get out of my head and onto a page. What I didn't expect was that … Continue reading The IQL Manifesto: Seven Commitments for AI Quality Leadership
Category: ai
Not the policy. Not the framework deck. The actual Tuesday morning when something matters. This is part of the Practical track within the Intelligent Quality Leadership series. It builds directly on AI Governance and Guardrails, which made the case for why quality leaders need to be in this conversation. This post is about what that … Continue reading IQL Practical #3 – What Good Governance Actually Looks Like
For the 7th post in the Intelligent Quality Leadership series, I have dived into where having a human still involved in the loop is crucial. These are my thoughts, would love to hear others on this... AI Writes the Test. But Who Decides What to Test? A CTO asked me a question recently that's stayed … Continue reading The Human in the Loop Isn’t Going Anywhere: They’re Just Moving Up
Most teams are running their existing playbook against a fundamentally different kind of system. This post in the Intelligent Quality Leadership series covers the five dimensions that separate AI testing strategy from AI testing theatre. Let me describe a pattern I have seen more than once now, and I suspect you have too. A product … Continue reading IQL Practical #2 – You’re Testing AI Wrong
This is the fifth post in the Intelligent Quality Leadership series, and if I'm being honest with myself, I wanted this one to feel different. The first four posts have been heavy on frameworks and thinking models, and while I stand behind every word, I was conscious that we'd been spending a lot of time … Continue reading IQL Practical #1 – Don’t Just Test the Output… Challenge the Reasoning.
AI hasn't solved the quality culture problem. It's made it more complicated. When everyone can generate tests with a prompt, the question of who actually owns quality becomes harder to answer, not easier. This is the fourth post in the Intelligent Quality Leadership series. It explores the Leadership + QE corner of the triangle, where … Continue reading Quality Culture: Shared Ownership Is Harder Now, Not Easier
The rush to automate everything with AI isn’t transformation. It’s just faster mediocrity. Here’s what the QE + AI corner of the triangle actually demands from quality leaders. This is the third post in the Intelligent Quality Leadership series. It explores the QE + AI corner of the triangle, Cognitive Automation. If you’re new to … Continue reading Cognitive Automation: This Isn’t About How Fast You Can Generate Scripts
The AI governance conversation is already happening in your organisation. The question is whether quality has a seat at the table. This is the second post in the Intelligent Quality Leadership series. It builds on the original model and specifically explores the AI + Leadership corner of the triangle. If you’re new to the series, … Continue reading AI Governance and Guardrails: The Conversation Quality Leaders Should Be Leading
Being on the job hunt again, I was keen to keep my hands dirty and be able to share as an example of AI use in interviews. When I left Goodnotes last week, I decided to do something to focus the mind and give me something to look at in the lull of job applications … Continue reading Focus ND – Pairing with AI to Build an App
I've been looking forward to writing this blog since I started this series. AI is not going to go anywhere, so we need to adapt our thinking in the QE/Testing world. The rise of AI is revolutionising how we build, test, and deliver software. Traditional Quality Assurance (QA) practices, focused on validating outputs, are no … Continue reading QA to QE: Rethinking Quality in the Age of AI
Simon Prior 