Compare · ChatGPT
Numerus vs ChatGPT for accounting work
ChatGPT is a strong general assistant for writing, research and exploring ideas. Numerus is a workspace where AI agents do accounting work on your connected systems, and every step can be checked.
Describing the numbers is not the same as producing them
General AI assistants are built for language. They work with whatever context you put into the conversation and return an answer in a chat. Finance teams need more than that: answers that come from the systems of record, work that runs the same way every month, and a trail a reviewer can follow.
Where a general assistant runs out of road
Finding the cause of a discrepancy
A variance is rarely explained by one file. Numerus agents trace it across your ERP, CRM and spreadsheets to the transaction that caused it. With a chat assistant, you gather the data and paste it in first.
Month-end and board reporting
Reported numbers have to hold up. In Numerus, each figure links back to its source and the steps that produced it, so a reviewer can verify it without rebuilding the analysis.
Recurring workflows
Close tasks, reconciliations and reports come back every period. Numerus runs them as reusable workflows that follow your firm's rules, instead of a new conversation you have to steer each time.
Side by side
| Question | Numerus | |
|---|---|---|
| Where do the numbers come from? | The files and context you share in the conversation, interpreted by the model. | Your connected ERP, CRM, files and filings, worked on directly by agents. |
| How much data can it handle? | Bound by file-upload and context limits, so large ledgers have to be sampled or split across chats. | No size limit. Connect a remote database or add hundreds of files, and the Numerus file engine handles them. |
| Can a reviewer check the work? | You keep the prompts, sources and outputs yourself and reconstruct them later. | Every agent step is traceable and every result is auditable in the workspace. |
| What happens next month? | You re-share the context and guide the assistant through the task again. | The same workflow runs again on fresh data, following the same rules. |
| How much runs at once? | One conversation at a time, driven by you. | Multiple agents work in parallel while your team reviews and decides. |
| Who is it built for? | Anyone who needs a fast, general-purpose assistant. | Finance and accounting teams that need control over their numbers. |