Everyone is tired of AI case studies.
They all sound the same: a clean dashboard, a huge time saving, a founder quote. Senior leaders do not read them because they do not believe them. OperationAI exists because leaders want to know what actually happens when a company tries to fix the mess underneath.
How a feature is built
We do not start with a new AI tool. We start with a problem the reader is already living with — an industry rule everyone accepts is terrible, like global payroll needing several systems and constant manual checking — and ask why nobody has fixed it.
Then we show the ways people usually try to fix it: more software, more consultants, more headcount, and why those attempts fall short. Only then does the featured company enter the story. We report what the team had to rebuild, where AI actually helped, what was difficult, and what still requires a human decision.
Adding AI to a broken process usually gives you a faster broken process. Companies run on bad data, old rules, spreadsheets and people holding the system together by memory. A story that skips the messy parts is marketing, so we keep the messy parts in.
The sections
A company that actually rebuilt something, and what AI still could not do.
Ranked nonsense: fake agents, magic 'skills', demos that die in week two.
One process pulled apart: the bad data, the manual patches, the fix that keeps failing.
Short dispatches from inside a rollout. Honest, unfinished, no conclusions yet.
The few skills, prompts and workflows that survive contact with a real operation — and why.
Sponsored features
Some features are commissioned by the company in the story. Those are labelled as sponsored features, every time, on the article itself. Being sponsored decides that we write about a company — it does not decide what the piece says. We do not publish claims we cannot check, and we correct what we get wrong in the piece itself rather than quietly.
What the featured company gets is not a standard case study. It is the attention of a senior leader who finishes the story and thinks: we have this problem, and these people understand how to fix it.
Enquiries
When you send an enquiry from a feature, it goes to the company in that story so they can reply to you. We do not build lists from it and we do not resell it. Anything you send the desk directly is read by the editors.