End users don't care who in your dependency stack is enabling NLP, but that your tool can do things the non-NLP tools cannot
Likewise, that is key signaling for all stakeholders on what is to come. If using AI is part of the core identity & value prop, great. If not, great too, hopefully there is some other wow. Whether users, staff, investors, same deal.
Ex: We do some custom graph neural network & custom auto feature engineering to help ppl look at & analyze their event data more easily & intelligently. OTOH, our LLM work currently uses OpenAI/Azure, and we are deferring self-hosting and fine-tuning for when more useful, as we rather focus more now on bits like vector databases and UIs. In both cases, our users care more that they can get better results and a journey committed to doing more, vs precisely who is doing what & when.