DBIZ AP Agent — when invoice entry is no longer a burden on the finance team
A problem every finance team knows
At month end, an accounts payable clerk sits in front of hundreds of supplier invoices: some arrived by email, some on paper, some downloaded from the e-invoice portal. Their job is to key in every line by hand — supplier name, tax code, each line item, the amount, the VAT — into the accounting system, and then check whether the invoice is valid.
The work is repetitive, among the most time-consuming in the finance function, and highly error-prone. A single mistyped figure can distort the payables balance, delay a payment, or create difficulty at tax finalisation.
This is precisely the problem DBIZ AP Agent (full name: AP Invoice Processing — AP = accounts payable, amounts owed to suppliers) was built to solve.
What is DBIZ AP Agent?
In short, it is an AI agent — software that carries out an assigned process on its own — dedicated to processing incoming invoices automatically from the moment they arrive through to posting in the system.
Unlike a chatbot that only answers questions, the AP Agent executes the entire business process itself: reading the invoice, understanding its content, verifying its validity and pushing clean data into the accounting software — in place of manual entry.
It is one of five principal AI agent products from DBIZ, alongside DBIZ Forecast (sales forecasting), DBIZ APS (production scheduling), DBIZ MES (production execution) and Chatbot AI. All five belong to the DBIZ Autonomous.
How the AP Agent works
The AP Agent follows three steps — exactly the way a capable accountant would, only faster and without fatigue:
Collecting invoices from every source
The agent receives invoices automatically from Outlook, Gmail, or by drag-and-drop upload. There is no longer any need to gather invoices in one place by hand.
Reading and extracting the data with AI
This is the core. The agent combines OCR (optical character recognition — reading text from an image) with an LLM (large language model — AI that understands context the way a person does) to extract each field precisely: supplier, tax code, line items, unit price, amount and tax. Combining OCR with an LLM makes it possible to handle even awkwardly laid-out invoices that OCR alone would misread.
Verifying with the tax authority
The agent integrates checks against the General Department of Taxation’s system, confirming the invoice is valid before it is posted — reducing the risk of accepting an incorrect or illegitimate invoice.
The result: instead of keying in every invoice, the accountant only reviews the exceptions the agent flags. The human role shifts from data entry to control — far better use of their time.
Why this matters
The real value of the AP Agent is not that it “types faster”, but three things:
- Time saved and errors reduced. It removes the repetitive manual entry step — the most laborious and error-prone part of the process.
- Better control of payables and cash flow. When incoming invoice data is current and clean, the business knows exactly who it owes, how much, and when it falls due — instead of that information sitting trapped in a pile of unentered invoices.
- Confidence on tax. Automatic verification against the tax authority keeps the input records clean from the outset, reducing risk at finalisation.
The difference: AI running on your own infrastructure
This is the notable part, and the philosophy running through DBIZ Autonomous. Invoices are sensitive financial data — no business wants every supplier invoice sent out to an external AI service.
The AP Agent therefore follows a local AI approach: the AI model runs on the enterprise’s own infrastructure. In practice this means:
- Data never leaves your system — meeting the security requirements of the finance function.
- No per-call API fees — a fixed cost, with none of the “the more you use it, the more it costs” exposure of usage-billed cloud AI services.
- No dependency on an external provider — the system keeps running even when the external connection is lost.
Where it sits in the wider picture
The AP Agent can be deployed on its own, but its real strength comes when it sits within the DBIZ ecosystem: incoming invoice data connects directly into ERP (enterprise resource planning) and the accounting software, then links to other agents such as payment reconciliation, cash-flow forecasting and budget control.
At that point, invoice processing is no longer an isolated task someone has to shoulder at month end, but an automated link in the finance machine as a whole.
In closing
What DBIZ AP Agent does is straightforward: it takes the dullest and most error-prone work in accounting — entering and checking incoming invoices — and hands it to AI to do automatically and securely, on the enterprise’s own infrastructure.
People are freed for work of greater value: analysis, control and decision-making. That is what a modern finance function actually needs.
Find out more and request a demo at dbiz.com.
Measured results
AP Agent — figures measured in the field
Operational assessment conducted in 2025 at a Vietnamese enterprise group with multiple legal entities, processing tens of thousands of invoices a year on an international ERP platform. The client is not named, under a confidentiality agreement.
Measured baseline — before AP Agent
- ~38 minutes of staff time to complete the full cycle for a single invoice, across 7 manual steps.
- Labour cost of the full cycle: ~VND 132,000 per invoice, converted at that organisation’s own salary levels.
- Cycle time from receiving an invoice to posting it in the ERP: ~9 days.
- Actual data-entry rate: ~15 invoices per hour per person.
- Preparing and approving a payment request alone: 3–5 days, signed by hand across several levels.
- Capacity capped at ~1,900 working hours a year.
Target operating levels with AP Agent
- All 7 of 7 steps automated; staff move into a control and exception-handling role.
- Invoice cycle time: from ~9 days to ~3 days.
- Payment request preparation: from 5–10 minutes to 2–3 minutes.
- Approval: from 3–5 days to within 8 hours, on mobile.
- Printing and physical routing of documents eliminated entirely.
- Operating 24/7/365 rather than within office hours only.
Value not yet quantified
The six items below were recorded during the assessment but not converted into figures. DBIZ proposes measuring them during deployment rather than attaching a number without a basis.
On methodology: the “measured baseline” figures are actual measurements, drawn from the client’s 2025 operational statistics and a step-by-step time study. The “target operating levels” are the levels DBIZ designs to and commits to re-measure jointly with the client during the pilot phase.
On the cost figure: the ~VND 132,000 per invoice reflects the salary levels and operating structure of the organisation assessed; it is not an industry standard. DBIZ recalculates this figure from each client’s own data during the assessment phase.
On intent: this is a capacity problem, not a headcount reduction exercise. Document volume exceeds what office hours can absorb, so the Agent takes on data entry and the finance team moves into control, analysis and exception handling.
