Eval engineering: The missing piece of agentic AI governance - SiliconANGLE
PushButton AI Team ·
Eval engineering: The missing piece of agentic AI governance - SiliconANGLE
You bought the AI tool. Nobody uses it. $200/month quietly draining while you wonder if you picked wrong.
You didn't pick wrong. You just never got a clear answer to the one question that actually ma
You bought the AI tool. Nobody uses it. $200/month quietly draining while you wonder if you picked wrong.
You didn't pick wrong. You just never got a clear answer to the one question that actually matters: "How do I know if this thing is working?"
That's the gap nobody talks about.
A major piece missing from most AI rollouts isn't the tool itself. It's having any way to measure whether the tool is doing what it promised. Enterprise companies are now hiring specialists just to answer that question. They call it "eval engineering." Fancy name, simple idea — someone whose job is to check if the AI is actually delivering results.
You don't need a specialist. But you do need a scorecard.
Before your next AI experiment, write down one specific outcome you expect in 30 days. Response time cut in half. Ten hours saved per week. Five fewer customer complaints. Something measurable. That single habit separates business owners who get ROI from AI from those who just collect unused subscriptions.
One metric. Thirty days. That's your proof of concept.
What's been your experience — did anyone actually show you how to measure whether your AI investment was working, or did the consultant just disappear after setup?
... AI governance solutions at scale. Eval engineers must conduct evals ... Arvind Krishna's keynote at IBM Think: AI-first enterprises, hybrid as default, ...
