Hey, that's a great question! If I were trying to convince a skeptical plant manager about upgrading from traditional PLCs to an AI-integrated system, I'd focus on one metric that speaks directly to their daily concerns: Overall Equipment Effectiveness (OEE).

Here's why OEE is the perfect single metric to focus on:

1. It's already familiar - Most plant managers already track OEE, so you're speaking their language. It combines availability (uptime), performance (speed), and quality (good parts) into one comprehensive score.

2. It shows immediate impact - AI-integrated systems can transform OEE from a lagging indicator into a real-time operational compass. Manufacturers are reporting improvements of 50% or more in OEE with AI systems.

3. It directly translates to money - Every percentage point improvement in OEE means more production, less downtime, and higher quality output. The research shows manufacturers are achieving 200-400% ROI from AI implementations, with 78% of manufacturing executives already reporting measurable returns.

4. It addresses multiple pain points - By focusing on OEE, you're actually tackling predictive maintenance (improving availability), process optimization (improving performance), and quality control (improving quality) all at once.

The beauty of using OEE as your single metric is that it's concrete, measurable, and directly tied to the plant's bottom line. You can say: 'Let's track how much our OEE improves in the first 90 days, and I'll show you the exact ROI.' That kind of straightforward, results-focused approach is what skeptical managers respect most!