Solution showcase · AI Agents

Invoices handled while your team focuses on the exceptions

A digital worker that reads supplier invoices, matches them to orders and receipts, and prepares them in the ERP for approval.

Type
Solution showcase
Industry
Finance operations
Deployment
Connected to email, document storage and ERP
Services
AI Agents, API Integration

The challenge

A finance team can receive hundreds of supplier invoices a week, by email, in every format imaginable. Each one is keyed in by hand, matched against a purchase order and goods receipt, and chased when something is missing. It is slow, repetitive and easy to get wrong.

The solution

The Accounts Payable AI Worker monitors the payables inbox, extracts the data from each invoice, and performs the three-way match against the purchase order and goods receipt in the ERP. Matched invoices are coded and prepared for one-click approval. When something does not match, the agent explains the discrepancy and drafts a supplier email for a person to review and send.

What it includes

  • Invoice capture from email, PDFs and scans
  • Three-way match against PO and goods receipt
  • General-ledger coding suggestions
  • One-click approval in the ERP
  • Full audit trail of every action

How it works

  1. 01

    Read

    The agent watches the payables inbox and extracts invoice data from PDFs and scans.

  2. 02

    Match

    It checks each invoice against the purchase order and goods receipt in the ERP.

  3. 03

    Prepare

    Matched invoices are coded and prepared in the ERP for one-click approval.

  4. 04

    Escalate

    Mismatches go to a person, with the discrepancy explained and a supplier email drafted.

Design targets

MinutesTarget handling time per invoice, instead of days in a queue
Every actionLogged in an audit trail finance can review
HumanApproval on every payment; the agent never pays on its own

This is a solution showcase: a system Quibo designs and builds for this kind of problem. Figures are the design targets we build and test against, not results from a named client. Targets for your business are agreed and measured during the proof stage.

Ready to build?

Want a system like this?

Tell us about the process or the cameras you have. We will tell you honestly what is achievable, and propose a short proof stage on your own data.

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