Story
The ones with the problem
were us.
OpsEngine Connect came out of our own work, where the same monthly reporting kept eating our time. Inside other companies, the bottleneck sat in exactly the same place. A tool built for the one company in front of us turned out to work everywhere else too.
01 / On site
Every month: download CSVs from admin screens, then total them up.
At a logistics site, pulling a month of billing lines and reconciling them into a single sheet — that job came around every month. If the numbers didn't match: download again, line them up again.
02 / In client work
The same scene at every company.
Doing automation work for clients, we noticed something. Different companies, the same bottleneck. Numbers split across services, gathered by hand, into the same monthly sheet.
03 / The first tool
190,000 rows became one sheet in 11.6 seconds.
We built a tool that pulls billing lines straight from the service's API. 192,218 rows in 11.6 seconds, straight into a spreadsheet. Half a day of work became just the wait.
04 / Now
"Wouldn't this be the same for any system?"
The source changes; the work doesn't. Gather, align, deliver to the usual spreadsheet. We carved out just that part and made it usable by anyone. That is OpsEngine Connect.
05 / What's next
Before handing work to AI, build something worth handing over.
The era of trusting AI with company numbers is nearly here. What you need first is your own data, arranged so AI can read it. Flexible yet stable — building a custom API for your company is one of our core focuses from here.






