Utility CFO
Manage storm and disaster cost recovery
What You Do Today
Track restoration costs during major weather events, ensure proper cost capture and documentation, file for regulatory recovery of prudently incurred storm costs, and manage the cash flow impact.
AI That Applies
Storm cost AI tracks restoration spending in real-time by category, ensures costs are captured in the correct accounts, and generates regulatory filing documentation automatically.
Technologies
How It Works
The system ingests restoration spending in real-time by category 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 — regulatory filing documentation automatically — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
Cost capture during the chaos of storm response is more complete and accurate. AI categorizes costs in real-time, preventing the documentation gaps that complicate recovery filings.
What Stays
You still manage the cash flow crisis during major events, negotiate recovery terms with regulators, and make the strategic decisions about securitization vs. traditional recovery.
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 manage storm and disaster cost recovery, 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 manage storm and disaster cost recovery 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 CFO or VP Finance
“What's the biggest bottleneck in manage storm and disaster cost recovery today — and would AI address the bottleneck or just speed up something that's already fast enough?”
They're prioritizing which finance processes to automate first
your ERP or finance systems admin
“If we automated the routine parts of manage storm and disaster cost recovery, what would the team do with the freed-up time?”
They know what automation capabilities exist in your current stack
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.