I am an owner who does not write code, but I need to make sure our new AI-driven estimating system is actually reliable. How do I audit and verify the quality of our automated systems without learning the technology?

Question

Tyler Smith · Accepted Answer

You do not need to understand the underlying code of an AI system to verify its operational value. Your job as the owner is to inspect the outputs, not the programming language. You can run a simple verification process by treating the AI system like a new employee who is currently in training.

To verify your automated estimating system, use a black-box testing approach that focuses purely on results:
- Pull ten complex estimating jobs that your senior team completed manually last year.
- Feed the exact same project specifications into your new AI-powered estimating system.
- Compare the AI-generated estimate against the historical manual estimate for pricing accuracy and margin protection.
- Audit the variance between the two outputs to see if the AI system missed key operational costs.

If the AI system produces consistent, accurate results that match or exceed your manual benchmarks, the system is reliable. If it fails, hand the specific variances back to your team to refine the system's instructions. By focusing on output quality instead of technical jargon, you maintain control of your operations and ensure your company builds system-dependent assets.