How Fortune 500 engineering teams manage AI coding spend
Your AI costs can easily outpace your team’s growth. This guide covers the 6 key decisions large engineering teams use to keep those expenses in check.
THE PROBLEM
- Your AI bill can grow faster than your team. Just one engineer can trigger agents that continue to run and retry long after they’ve stepped away. This means seat counts aren’t the only way to track costs anymore.
- A hard cap is a blunt fix. While it can kill a runaway process, it can also block an engineer from shipping critical work. You need to be able to tell the difference.