Quality Reimagined

Field notes and frameworks for Quality Engineering leaders modernizing in an AI-shifting world

Quality Engineering leaders are being asked to ship faster without increasing risk while the ground keeps moving. Systems are more complex, change volume keeps rising, and AI is accelerating how software gets built.

Most QE modernization efforts do not fail because teams are not trying. They fail because the operating model does not scale.

Quality Reimagined is where I share practical strategy for modernizing QE organizations in mid-market and large enterprises. The goal is to help you make good decisions with imperfect information, and build a QE function that stays resilient as capabilities evolve.

What you will find here

  • Operating models that scale across products, platforms, and delivery teams

  • Modernization playbooks for faster feedback loops and lower execution drag

  • Governance that works, so standards enable delivery instead of slowing it

  • Quality signals leaders can trust for release readiness decisions

  • AI adoption with control, focused on traceability, auditability, and enterprise constraints

Who this is for

  • VPs, Senior Directors, and Directors of Quality Engineering

  • Heads of Testing, TestOps, and Release Confidence

  • Engineering and Delivery leaders accountable for production risk

  • QA leads and senior practitioners driving modernization from within

Keeping it accessible

My goal is for this publication to stay useful and accessible, even as the industry figures out what “good” looks like in an AI-shifting world.

Most posts will remain available to free subscribers.

Support this work

If you find the content valuable and want to support the writing, you can upgrade to a paid subscription. Think of it like buying me a coffee each month so I can keep publishing, researching, and turning messy enterprise realities into practical guidance.

Transparency

This publication is vendor-neutral by default. If I ever include a financial relationship tied to a recommendation, it will be disclosed clearly in the post.

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The playbook for modernizing QA in the AI era.

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