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How utility analysts use AI to prep witnesses for cross-examination at the PUC.
AI can generate likely cross-examination questions from filed testimony to harden witness prep.
A utility rate case is a regulatory proceeding before a Public Utility Commission (PUC) in which the utility presents its case for a rate change. Utility witnesses — typically engineers, economists, and policy analysts — submit pre-filed testimony covering their portion of the rate case: cost-of-service studies, capital expenditure justifications, demand forecasts, depreciation methodologies. Intervenors (consumer advocates, industrial customers, environmental groups) file their own testimony and then cross-examine the utility witnesses in technical hearings. Cross-examination at a PUC proceeding is methodical and targeted: intervenors study the pre-filed testimony carefully and prepare questions designed to expose inconsistencies, challenge assumptions, or establish records they can reference in briefs. AI is a strong tool for witness prep in this environment because it can read the utility's pre-filed testimony and the intervenors' briefs and generate likely cross-examination question sets organized by topic. A utility analyst can use AI to produce a preliminary question list, then work with witnesses to develop answers. What AI cannot do is predict how commissioners will rule on contested issues, replace counsel's strategic judgment about which concessions to make, or coach a witness to be truthful under oath — that constraint runs the other direction.
10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-careers-ai-utility-rate-case-witness-prep-r10a4-adults
What is the main idea of "AI for Utility Rate-Case Analysts: Witness Prep"?
Which concept is most central to "AI for Utility Rate-Case Analysts: Witness Prep"?
Which use of AI fits this topic best?
Which limitation should you watch for in this topic?
What should a careful learner remember about "Adversarial-question prompt"?
You want to use AI after this lesson. What is the safest next step?
How should AI output about rate case be treated?
Name one way to verify an AI answer about rate case.
Which action would help you apply "AI for Utility Rate-Case Analysts: Witness Prep" responsibly?
Which choice is a bad use of AI for this lesson?