Instruction Governance: The Missing Layer of Enterprise AI (Part 2 of 4)

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Part 2 – Why We Must Evaluate Our Instructions Before We Evaluate AI

In Part 1 of this series, we diagnosed the core problem with AI evals: we often evaluate the model's answers before validating our own instructions. We also introduced Step 1: The Governance Triad – replacing the 'lone genius' prompter with a cross-functional unit of Product (Intent), SME (Risk), and Engineering (Systems).

But once you have that team in place and they have reviewed your logs (Step 1), what do you actually do with their feedback? How do you turn a spreadsheet of messy human complaints into a rigorous engineering test?

In Part 2, we cover the execution: Step 2 (Clustering) and Step 3 (The Golden Set).