Using AI to assist utility bill audits — where it helps and where it doesn't

I've been folding an AI assistant into my intake process over the last couple months and wanted to share where it's actually earned its keep. The biggest win is the boring stuff: pulling line items off a stack of PDFs, flagging when a demand reading jumps out of pattern, and lining up twelve months of charges so I can eyeball trends in seconds instead of an afternoon. It's a fantastic first-pass screener.

What I want to be clear about, because I think it matters for our credibility as a field: the AI does not close a finding. It surfaces a candidate. Every single thing it flags, I still verify against the actual tariff sheet and the meter data myself before it goes anywhere near a client. It's a faster pair of eyes, not a replacement for the judgment that tells you whether a flagged charge is genuinely an error or just an unusual-but-correct billing scenario. Curious how others here are using it.

This matches my experience exactly. After 25 years inside a utility's billing operation, I can tell you the rate structures have edge cases the documentation barely describes. AI is wonderful for catching the obvious arithmetic and the "this number doesn't belong" outliers, and it has genuinely sped me up. But I've watched it confidently flag a "demand overcharge" that was actually a correctly-applied ratchet clause. If you don't already understand why that clause exists, you'd file a refund claim that gets you laughed out of the room. The tool is only as trustworthy as the auditor checking it.

Big fan of using it, with the same caveat everyone's landing on. I treat the AI output as a worklist, not a conclusion. It tells me "look here," and then I do the work. The efficiency gain is real — I can take on more engagements — but the value I bill for is still the verification and the tariff interpretation, which is the part a client can't get from a chatbot. If anything, having the AI handle the grunt work lets me spend MORE time on the judgment calls, not less.

Agreed on all counts. One thing I'd add for anyone newer to the field: be careful not to let the tool's confidence substitute for your own. It will phrase a guess and a certainty in the exact same tone. The integrity of the audit rests on a qualified person being able to say "I checked this against the filed tariff and I stand behind it." That signature means something, and it can't be delegated to software. Used that way, though, AI is a real asset.

This thread is exactly the balanced take I was hoping to find. We've started using AI on our portfolio reviews and the time savings are significant, but our internal rule is that nothing leaves the building without a credentialed auditor signing off on every finding. The AI gets us to the starting line faster; the experienced reviewer is still the one who runs the race. I think that's the model that keeps this profession trustworthy as the tools get better.