Lutz Finger for Forbes: Why AI adoption is slower than expected, and the workflows behind the hype

AI is advancing quickly, but many companies are finding that adoption is slower and more complex than expected. In a Forbes article, OMMAX Chief AI Officer Lutz Finger explores why: real business workflows are full of undocumented exceptions, informal workarounds and human judgment that rarely make it into process manuals.

AI can generate more content and code, but that does not automatically create more business value. To make AI useful, companies need to connect it to clear outcomes and redesign workflows around what people actually do. That takes hands-on work to map business processes, identify where AI can contribute and determine where human oversight remains necessary.

Finger points to forward deployed engineers as one way to bridge this gap. By working closely with teams, they adapt AI systems to the realities of an organization. Over time, as the technology and governance mature, this work may increasingly draw on people with deep expertise in their own domains.

The path to AI’s full potential is not simply a matter of handing work over to machines. It begins with making AI reliable in the workflows where it can create measurable value.

Originally published in Forbes.