Comment by dowager_dan99
2 days ago
I've seen (and experienced as the seller) 2 main reasons:
1. we can try and squeeze as much juice as possible from every enterprise client 2. we don't actually know our own economics and/or your scenario is so unique we need to invest effort to quote it within a magnitude
A distant #3: we offer a truly enterprise solution that is too complex to present as a la carte. This happens, but typically you're angling into consulting our bespoke development. Even the most complex cloud scenarios can be costed to the penny; you might not ever pay this but it's a starting point. Maybe this sort of "soft judgement" is a good use of AI? some degree if contextual reasoning, non-committal answers, more complex than just a formula...
I could see that — having worked for a large network vendor in the past, there are some things that just don't lend themselves to any kind of pricing without some kind of scoping discussion. :)
Much like cloud users with k8s, though, I think a lot more companies think they have that problem than actually have that problem.