[ Norami vs ChatGPT ]
A chatbot answers once.
Norami keeps answering.
Let's be honest: ChatGPT is genuinely good at one-shot spreadsheet analysis. Paste a file, ask a question, get a smart answer. The difference is everything that happens after the first answer — next month's refresh, the second teammate, and the moment someone in a meeting asks “where did that number come from?”
The first answer
Fast, often impressive one-shot analysis.
A plain-language answer with the source and the exact query cited — inspect the trace before you repeat the number.
Next month's numbers
Start over: re-upload, re-explain the columns, re-check the output.
Drop the new export in — or let a connected database bring it in on its own. Either way it's recognized, re-indexed, and every saved question keeps working.
Who can use it
Whoever wrote the prompt, in their own chat.
Your whole team — roles and departments scope which assistants and data each person sees.
When someone challenges a number
You re-derive it by hand and hope it matches.
You open the trace: the source, the query, the freshness stamp. The answer defends itself.
The record
No account of who asked what, or what the data said then.
Every question and change lands in an append-only audit ledger.
Your data
Pasted into a general-purpose chat.
Lives in one isolated workspace, scoped by permission, never shared across customers.
When ChatGPT is the right tool.
- A one-off analysis of a file you'll never open again
- Exploratory work where being roughly right is fine
- Anything that isn't your company's operational numbers — writing, code, research
Norami earns its keep when the same questions come back every week, the numbers refresh every month, and the answers have to stand up in front of other people. If that's your spreadsheet life, watch what refresh looks like:
[ When the numbers move ]
Numbers change.
Answers keep up.
Costs get restated. Forecasts move. Someone fixes a sheet on Friday afternoon. A connected database picks up the new rows on its own; from files, you drop in the new one. Either way the same question comes back with the new numbers — what changed, called out; sources re-verified. And a refresh that looks wrong is held for review before it reaches anyone.
How refreshing data works →