November 29, 2025
Faster garbage, now with AI
It's Always the Process, Stupid
AI won’t fix your messy office — it just speeds up bad decisions
TLDR: Article warns AI won’t fix broken workflows; it only makes bad processes faster, especially with messy, unstructured data. Commenters roast hype-talk, with veterans urging investment in process design and cynics mocking ‘LinkedIn English,’ agreeing CEOs should fix workflows before splurging on bots.
The internet took one look at this business-therapy essay and screamed: stop sprinkling AI dust on dumpster-fire workflows. The piece argues there’s no “AI strategy,” only fixing processes, and the crowd largely nodded. Lapalux cheered the big reveal—AI’s real superpower is wrangling messy, unstructured stuff like emails—while search veteran softwaredoug dropped a hard truth: leaders keep chasing buzz-tech to “save money,” but it actually demands deeper investment. Meanwhile, chrisweekly highlighted the opening mic-drop: if your process is dumb, AI just helps you make dumb decisions faster. Ouch.
But the comments didn’t go full LinkedIn seminar. Starlevel004 slammed the tone as “LinkedIn Standard English, tab closed,” and the meme-ification began—picture a robot forced to work in your bureaucratic maze, hating its job. Zkmon wants this stapled to every CEO’s desk: AI’s value is handling text and chaos, not magically fixing the process. The mini-drama: some readers bristled at “no AI strategy,” arguing you still need a plan for where AI fits. Yet the mood was clear: whiteboard first, bots second. The community vibe is equal parts tough love and roast—less hype, more homework. If AI is speed, commenters say, make sure your car isn’t pointed straight at a wall (source).
Key Points
- •The article asserts AI does not fix broken processes; it mainly increases speed and can amplify poor decisions if workflows are flawed.
- •AI’s unique advantage is handling unstructured data, exposing that many related processes are themselves unstructured and undocumented.
- •Effective AI deployment requires prior Business Process Optimization and explicit workflow design (trigger, transformation, structured output).
- •AI-driven processes must be rigorously defined; human governance remains necessary to interpret concepts like “risk.”
- •Enterprises should map value chains, identify bottlenecks and waste, and structure workflows before applying AI automation.