A community discussion exploring how companies operationally manage custom internal AI agents, covering ownership, cost

Ask HN: How is your company managing internal AI agents? We're a small team researching how companies handle the operational side of internal AI agents -- the ones you've built for finance, ops, or marketing workflows. Not the off-the-shelf SaaS tools, but the custom agents your engineering team shipped. Specific things we're curious about:

How many agents are running internally that you know of? Who manages them day-to-day -- engineering or the business team that uses them? How do you track what they cost (LLM API fees, compute)? If the business team wants to change the agent's behavior, what's the process?

Genuinely trying to understand the landscape, not selling anything.