VP Regulatory Affairs
Compliance reporting and filings
What You Do Today
Ensure timely compliance with regulatory reporting requirements — annual reports, fuel cost adjustments, renewable portfolio standard compliance, reliability reports, and special filings.
AI That Applies
AI automates routine compliance calculations, populates reporting templates, and tracks filing deadlines across jurisdictions.
Technologies
How It Works
The system ingests filing deadlines across jurisdictions as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output is a structured view that highlights exceptions, trends, and items requiring attention — available in the existing tools without switching systems.
What Changes
Routine compliance report preparation shifts from manual data compilation to AI-automated population with human review.
What Stays
Ensuring accuracy of filings, making judgment calls on presentation of compliance data, and managing relationships with commission staff who review filings.
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 compliance reporting and filings, 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 compliance reporting and filings 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 board chair or lead independent director
“Which of our current reports are manually assembled, and how much time does that take each cycle?”
They shape expectations for how AI appears in governance
your CTO or CIO
“What questions do stakeholders actually ask that our current reporting doesn't answer?”
They own the technology infrastructure that enables AI adoption
a peer executive at a company further along on AI adoption
“How would we know if AI actually improved compliance reporting and filings — what would we measure before and after?”
Their lessons learned are worth more than any consultant's framework
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.