Four questions that tell you if an AI build will ship
Ask who maps the work, who approves the design, who builds, and who owns what ships.
Articles
Short essays on accessibility, AI operations, and building systems that hold up in production. Full pieces live on our Substack.
Ask who maps the work, who approves the design, who builds, and who owns what ships.
When the same data is copy-pasted into four systems, the number you steer on is last week's memory.
Access is spreading. Ownership is still the work. Here is one filter you can run on your stack this week.
Across industries and company sizes, the stuckness looks the same — and it isn’t ignorance.
Your real system of record isn't your ERP. It's the Excel file your best person won't let go of.
The website looked fine — until someone measured it against WCAG.
Most AI programs do not die because the model was weak. They die on a responsible-sounding sentence.
Somewhere in your industry, a competitor is not running AI pilots — they are running AI operations.
The last two years were supposed to be the golden age of enterprise AI — instead, a masterclass in expensive disappointment.
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