It turns out that many companies are now specializing in helping others integrate AI into their operations. I've been looking into ways to incorporate AI into my own workflow, especially when it comes to .NET development, and came across a resource that describes various services in this area. Specifically, there's a place that discusses machine learning and AI development, and it was interesting to see their approach. The page seems to focus on custom AI and machine learning models to help businesses automate and innovate. I'm particularly interested in hearing if anyone has real AI integration experience in .NET https://blackthorn-vision.com/machine-learning-and-ai-development/ projects, and what specific tasks AI has helped them with, beyond just general automation.
Yes, this is already a noticeable trend—AI is ceasing to be an "internal team experiment" and becoming a separate integration service/industry.
But in practice, the interesting thing is that most of the challenges companies face aren't in the models themselves, but in the framework around them: data, processes, access, quality control, CRM/ERP integration, logging, and human verification. This is why companies are emerging that specialize in implementation rather than "AI development."
In my own experience, I've also come to the conclusion that value isn't derived from the chatbot itself, but from well-designed AI agents within processes—when tasks are broken down into steps, with some work performed automatically and others left to humans.
In this regard, I was interested in tools like AtomicBot, which are attempting to package AI not as a separate tool, but as a layer for automating business processes.
It seems the market is currently moving from "let's try AI" to "embed AI into the operating system."
