I’ve been documenting real AI implementations. Here is a list of findings, surprises and cases (db)
I’ve been documenting real AI implementations. Here is a list of findings, surprises and cases (db)

I’ve been documenting real AI implementations. Here is a list of findings, surprises and cases (db)

hey there..

the same question keeps popping up, how are companies actually using AI right now? what's working, what's not, which tools are teams using, which industries are moving faster?

got tired of speculating so I started pulling together real cases from real companies. no hype, no theory, just what they did and what happened. There are around 250 cases now, filterable by industry, tool, business function, whatever you need. High bar of inclusion (needs to be a real customer and clear outcomes + a detailed process).

few things standing out so far:

  • Engineering and Finance are way ahead of everyone else
  • Logistics and manufacturing look slow on paper, but I think those projects just take longer to ship and show results. doesn't mean nothing's happening there
  • 3 patterns keep showing up: layered setups (LLMs + orchestration + apps), end to end products where the LLM is hidden from the user, and more mature orgs running a hybrid of both
  • on outcomes, speed gains are by far the most common (14%). workforce reduction and revenue lift are way rarer (under 4% each)

full cases db here

does any of this match what you're seeing out there?

submitted by /u/santanah8
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