Yes, a completely offline scenario with corporate data is truly relevant.
It's important to understand that AI itself isn't just a program,
but a set of models that typically require a lot of resources. To work 100% offline, local LLMs are needed, and the data needs to be properly prepared: PDFs, text, structured data. It's also worth considering how the AI will index and search this data.
For some tasks, it's easier to use platforms that can wrap local models in managed agents so they can perform actions with information securely. For example, Atomic Chat allows you to build offline workflows with agents that work with documents and data, while still allowing you to control access and storage of information—almost like creating your own internal AI assistant without the cloud.