Small Business
4 posts on this topic — practical guidance from Shawn Livermore on fractional CTO, AI, and technology leadership.
Why Most SMB AI Projects Fail to Scale
The failure-to-scale rate for SMB AI projects is above 80% in 2026. The cause is almost never the model. It is the data foundation and accountability structure that the model was supposed to operate on.
Read post →AI in Smaller Companies: Why Most Productivity Gains Stall at the Proof of Concept
89% of small businesses report using AI. Most cannot name a process that runs differently because of it. The gap between AI adoption and AI impact is a foundation problem, not a tool problem.
Read post →The First AI Automation a Small Business Deploys Matters More Than the Tools It Uses
The first AI automation a small business deploys either builds internal confidence or depletes it. Which process you automate first determines whether AI adoption accelerates or stalls.
Read post →Why Most Small Businesses Are Stuck on the Wrong AI Problem
57% of small businesses are investing in AI. Only 14% have it embedded in their operations. The gap is not about tools — it's about organizational leadership.
Read post →