We use it for discovery on desktops to understand what operations are actually doing. Using task mining capabilities allows us to record activities and identify efficiencies and potential process improvements.
To analyze and make sense of the data generated by Kryon process discovery can be a lot of effort. It's not as automatic as some might think. It really depends on how many processes you have and how actively you use them. But the scalability aspect isn't necessarily about deployment or technical maintenance. It's really about how you analyze and gain insights from the data gathering. I'd rate the scalability a seven out of ten because the solution has been scaling well for a long time. It's very easy to deploy. But getting value out of it at scale can be a challenge, just like with any deployment. We use it mainly for process discovery. We actually proceed it from different teams. So, we have 15 licenses that we rotate with different people, actually through different teams. So, we do discovery for the online team; we gather the results after about two weeks to a month. We analyze those results, and then we deploy them again on the analytics team. We regularly deploy it to different teams. So, it's in constant use. It just runs on the systems through discovery mode most of the time.
