The "comfortable" framing is what worries me actually. MIT NANDA clocked 95% of enterprise GenAI pilots at zero measurable P&L impact. And the METR study is the real gut punch: experienced developers were 19% slower on real tasks using AI tools while self-reporting they were 20% faster. That's a 39 point perception gap. The problem isn't workflow integration. It's that companies think they're adopting while the numbers say otherwise.
The firms that get past the waypoint aren't the ones with better tools. They're the ones that took the resistance layer seriously first, as a design problem, not a training problem. Built an open-source framework specifically around this, including a mandatory governance gate before any "AI replaces human" decision executes. The Klarna case is encoded into it as a blocking test, not a case study.