Software integration, AI, and the craft of building systems that last.
Forrester says 25% of planned AI spend is getting delayed in 2026. The companies that survive the scrutiny aren't the ones with the best results — they're the ones who measured from day one.
65% of orgs report AI failure. The problem isn't the agent — it's three things that never break in demos but break immediately in production.
Forbes and PwC's numbers are out. Most AI spend isn't paying off. Here's the structural difference between projects with real returns and ones that generate decks.
Everyone tracks vendor lock-in. Nobody tracks behavioral debt — the invisible migration cost baked into your prompt engineering.
Every AI integration creates new attack surfaces — and most integration guides skip them entirely. Here's what to look for before your audit does.
Most AI pilots don't die because the model is wrong. They die because the underlying data is ungoverned, undocumented, or politically contested inside the org.
70% of enterprise AI work isn't model selection — it's data and system integration. Here's why the wiring decides which projects ship and which die.
Most enterprise AI pilots succeed on their own terms — and fail anyway. Here's what's actually standing between a working demo and a system that ships.
Most businesses treat AI as something you bolt on. Here's why that thinking leads to wasted budget and missed opportunity — and what to do instead.
