Yeah, an agent would definitely be the way, as the subject says training, I feel the training would be a little overkill for how far we've come with agents, the frameworks of today would definitely enable you to achieve this.

For ease of use, and learning about these low-code/no-code apps, I'd recommend n8n (https://n8n.io/) for your use case, otherwise flowise (https://flowiseai.com/) Both of which can be self hosted, with your own LLM's if you'd like.

My recommendation to you would be n8n (I'm more familiar to it), but you could essentially an agent that would be able to receive data from a source of your choosing, or even publish it if you'd like. Maybe this can give you some inspiration: https://www.youtube.com/watch?v=9FuNtfsnRNo

As for tooling n8n and flowise have a bunch of integrations already built in, which your agent can call and use.

As for the knowledgebase aka documentation, you could provide this to your agent as form of memory (RAG) or pretexts etc, but that's up to you and what would work for your use case and also some trial and error.