Demand Response Manager
Cost-effectiveness analysis and regulatory reporting
What You Do Today
Calculate program cost-effectiveness using regulatory-required tests (TRC, SCT, PCT, RIM). Prepare annual reports for commission staff and defend DR program value in rate case proceedings.
AI That Applies
AI automates cost-effectiveness calculations with sensitivity analysis, benchmarks program costs against peer utilities, and generates regulatory-ready reports.
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 output — regulatory-ready reports — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
Annual cost-effectiveness analysis shifts from manual Excel exercises to automated reporting with multiple scenario sensitivities.
What Stays
Interpreting results for regulatory audiences, defending assumptions, and making the strategic arguments about DR value that go beyond the standard cost-effectiveness tests.
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 cost-effectiveness analysis and regulatory reporting, 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 cost-effectiveness analysis and regulatory reporting 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
“Which of our current reports are manually assembled, and how much time does that take each cycle?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“What questions do stakeholders actually ask that our current reporting doesn't answer?”
They understand the workflow dependencies that AI tools need to respect
a frontline supervisor
“What's the biggest bottleneck in cost-effectiveness analysis and regulatory reporting today — and would AI address the bottleneck or just speed up something that's already fast enough?”
They see the daily reality that AI tools need to fit into
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.