token costs are the thing nobody warned me about with ai automation
Started automating workflows for a small team last quarter. The AI part was surprisingly easy to set up.
Then the invoices hit. I was running a few document processing flows and some customer email triage stuff, nothing crazy, maybe a dozen active automations. Looked at the bill after about three weeks and just sat there for a minute. I had budgeted for the tooling costs, the integrations, the time spent building it all out. Never once thought about what the actual token usage would look like at scale. The per-call cost seems tiny until you realize how many calls even a simple workflow makes in a day.
So I started asking around. Talked to a couple people running similar setups, one guy at a meetup last tuesday who manages automations for a mid-size logistics company. Nobody has a real strategy for this. Everyone is just kind of winging it, swapping models, caching where they can, hoping the prices drop.
The wild part is how fast it went from "this is saving us so much time" to "wait, is this actually cheaper than just hiring someone."
Curious what others here are doing about it.