What I've learned cutting AI running costs and keeping production AI reliable. Every number here traces to a system that shipped.
Most teams overpay for AI by a large multiple and never measure where. Here is the method I use to find the waste and replace it — and what it actually produced on four production systems.
The failure is rarely the model. It is asking one prompt to satisfy too many constraints at once — and having nothing in place to catch it when it quietly gets one wrong.
See the full case-study index — role, timeline and stack for each.
The AI Systems Audit finds where your AI overspends and where it breaks — in your figures, not generic percentages.