Director of Generation
Regulatory testimony and rate case support
What You Do Today
Prepare testimony and data responses for rate cases, integrated resource plans (IRPs), and regulatory proceedings. Justify capital investments, O&M spending, and fleet transition strategies to commission staff.
AI That Applies
AI assists by compiling historical performance data, benchmarking costs against peer utilities, and generating supporting exhibits — but testimony narrative and strategy remain human-crafted.
Technologies
How It Works
The system monitors regulatory data sources — rule changes, enforcement actions, and compliance records. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Data compilation for regulatory filings accelerates from weeks to days.
What Stays
Crafting regulatory strategy, defending positions under cross-examination, and negotiating settlements — pure human judgment and advocacy.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for regulatory testimony and rate case support, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long regulatory testimony and rate case support takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your VP Operations or COO
“What's the biggest bottleneck in regulatory testimony and rate case support today — and would AI address the bottleneck or just speed up something that's already fast enough?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“If we automated the routine parts of regulatory testimony and rate case support, what would the team do with the freed-up time?”
They understand the workflow dependencies that AI tools need to respect
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.