The system runs your test documents through different AI models and grades each answer automatically.
It branches. Every path runs; all paths must finish before it continues; runs once per one per test document.
Pattern: Parallel Split (2) · Synchronisation (3) · Multiple Instances with a priori Design-Time Knowledge (13)
You're considering using AI to pull information out of documents, but you don't know which model actually gets it right. Testing this by hand means reading through dozens of AI answers and judging each one yourself. Without proof of accuracy, it's hard to trust AI with real client documents.
A legal, compliance, or operations team evaluating AI tools before putting them into production.
Your test documents get run through every AI model you're evaluating, with each answer automatically graded pass or fail for accuracy.
The hard question is not how to build it. It is whether this is the right thing to build first.
That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.
Let's Talk Strategy