Building AI QA from the Ground Up Isn\u2019t a Role \u2014 It\u2019s a Responsibility<\/p>\n\n\n\n
Originally written: May 17, 2025<\/p>\n\n\n\n
When teams explore AI capabilities, there\u2019s often excitement about what\u2019s possible\u2026 but little clarity around what\u2019s required.<\/p>\n\n\n\n
Over the last several months, I\u2019ve been quietly leading foundational QA architecture for AI product initiatives \u2014 identifying systemic gaps, redefining coverage models, and reinforcing standards that protect the build.<\/p>\n\n\n\n
It hasn\u2019t always been easy. But real innovation requires a tolerance for ambiguity, an eye for root causes, and above all\u2026 discipline.<\/p>\n\n\n\n
QA is no longer about just passing tests \u2014 it\u2019s about creating guardrails for evolving systems.<\/p>\n\n\n\n
And in the world of AI, that starts with structure, not ceremony.<\/p>\n\n\n\n
I\u2019ll be sharing more soon about how to balance architectural clarity with adaptive delivery.<\/p>\n\n\n\n
Until then, I\u2019m curious:<\/p>\n\n\n\n
How are your teams approaching QA when it comes to AI-enabled platforms?<\/p>\n\n\n\n
—<\/p>\n","protected":false},"excerpt":{"rendered":"
Building AI QA from the Ground Up Isn\u2019t a Role \u2014 It\u2019s a Responsibility Originally written: May 17, 2025 When teams explore AI capabilities, there\u2019s often excitement about what\u2019s possible\u2026 but little clarity around what\u2019s required. Over the last several months, I\u2019ve been quietly leading foundational QA architecture for AI product initiatives \u2014 identifying systemic […]<\/p>\n","protected":false},"author":1,"featured_media":502,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-1193","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-qa-leadership"],"yoast_head":"\n