More than the "actual" problem, the "perception" of the problem is worse. Workflow integration is more to do with users having to rethink their workflows, their roles, and how they work with AI. As for data privacy concerns, even where startups have taken measures to overcome the problems, very often enterprises still remain concerned (making this more of a perception problem than an actual problem). That's why I focused on the non-technical aspect of it!

When I see vendors complain about workflow and integration issues, it's because the vendors software is written around an expectation of a certain workflow and integration points and they find out in reality every customer does it slightly differently.

Some key challenges around workflow are that while the fundamental white-board task flow is the same, different companies may distribute those tasks between people and over time in different ways.

Workflow is about flowing the task and associated information between people - not just doing the tasks.

Same goes for integration - the timing of when certain necessary information might be available again not uniform and timing concerns are often missed on the high level whiteboard.

Here's a classic example of ignoring timing issues.

https://www.harrowell.org.uk/blog/2017/03/19/universal-credi...