Why Your Enterprise AI Pilot Is Stuck
Most enterprise AI projects die between the demo and production. The blockers aren't technical -- they're organizational. Here's what I keep seeing.
Engineering Leadership coverage in this archive spans 5 posts from Sep 2021 to Mar 2026 and is treated as an operating model question: decision rights, feedback loops, and execution clarity. The strongest adjacent threads are teams, strategy, and productivity. Recurring title motifs include throughput, engineer, headcount, and lagging.
Most enterprise AI projects die between the demo and production. The blockers aren't technical -- they're organizational. Here's what I keep seeing.
Most engineering onboarding wastes the first week on access requests and context overload. The fix is simple: ship a real PR by day three.
Opinionated take on SRE team models from someone who has seen them all fail in interesting ways.
The term 'technical debt' has become meaningless. Everything inconvenient is debt. Here's what it actually is, when it matters, and why most teams handle it wrong.