Enterprise Technology
6 posts on this topic — practical guidance from Shawn Livermore on fractional CTO, AI, and technology leadership.
Why AI Automations Underdeliver Without Process Architecture First
AI automation ROI projections look compelling on paper. Most implementations fall short not because the tools fail, but because companies automate broken or undocumented processes instead of fixing the process design first.
Read post →AI Models Are Becoming Commodity Infrastructure. Here Is What That Means for Enterprise Strategy.
Benedict Evans published a detailed structural case that AI foundation models will commoditize the same way telecom carriers did. His conclusion: value accrues above the infrastructure layer. For enterprise AI buyers, the strategy implications are significant.
Read post →The US Government Now Has a Say in When You Get the Next AI Model
OpenAI announced GPT-5.6 Sol, Terra, and Luna on June 26, then restricted access at US government request. The first AI release gated on national security grounds.
Read post →Your First AI Automations Were Easy. The Next Phase Isn't.
Most companies automated the simple, deterministic workflows: document processing, email triage, data extraction. Agentic automation is a different problem.
Read post →The Build-vs-Buy Calculation for Enterprise Software Is Different Now
AI has meaningfully reduced the cost of custom software. The make-vs-buy framework most enterprise tech leaders use was built for 2019 economics. Time to update it.
Read post →Enterprise Vibe Coding Isn't Typing Less — It's Thinking in Loops
What enterprise engineering teams get wrong about vibe coding: the skill shift isn't from writing code to prompting. It's from writing lines to designing loops.
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