A distribution company keyed hundreds of supplier invoices by hand each week. A finance AI agent now reads each invoice, matches it to the order, and prepares the entry for a person to approve.
Supplier invoices arrived by email and post in every format. The accounts team opened each one, read it, found the matching purchase order, and keyed the lines into the ERP. It was slow, error-prone, and the month-end close waited on the backlog.
We built an agent connected to the invoice mailbox, the ERP and the document store. It reads each invoice, extracts the lines, matches it to the purchase order and receipt, and prepares the entry. A person reviews and approves, and the agent posts it.
Every entry waited for human approval at first, so the team could check the agent and correct it. As accuracy proved out on clean three-way matches, we let those post automatically, while exceptions and new suppliers still go to a person.
The agent went live in seven weeks.
Manual data entry fell by about 60 percent because the agent reads and prepares the entries. Errors dropped with consistent matching, the invoice backlog cleared, and the month-end close moved earlier because the data is ready.
The agent reads every invoice and has the entry ready for us to approve. We went from keying hundreds of lines a week to checking the few it is unsure about, and the close comes earlier now.
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