Use case
An AI agent that runs your month-end close
Month-end means the same grind: categorize hundreds of transactions, hunt down the receipts nobody filed, and find the few numbers that do not add up. It is finance work that does not need a person, but always takes one.
How the agent runs it
- 01
It categorizes every transaction against your chart of accounts and last month's patterns, and books the clean ones.
- 02
It chases the missing receipts and context: pings the card holder, matches the email trail, attaches what it finds.
- 03
It flags only the genuine anomalies, the ones that do not reconcile, with the trail already gathered for you.
You close on time, reviewing exceptions instead of keying rows. The judgment stays with you; the data entry does not.
Want this on your systems?
Common questions
- Which accounting tools does it work with?
- Whatever you run, from Xero or QuickBooks to a custom ledger. It is a build against your real stack, not a fixed integration.
- How does it handle something it is unsure about?
- It books only what it is confident on and routes the rest to you, flagged and explained. You set the confidence line per category.
- What does it cost?
- Builds start at EUR 3,500 fixed at scoping, and you own the code. See pricing on the homepage.