Finance automation with AI: steering, not explaining.

AI in accounting mainly takes over the processing and preparation work: reading purchase invoices, pre-coding them and getting them ready, matching payments, flagging exceptions, preparing the month-end close and producing reports. And you can ask questions about your figures in plain language. Start with the process that currently costs the most hours.

No, and that is not the goal either. AI takes over the processing and preparation: reading, pre-coding, checking and flagging. The financial controller or bookkeeper keeps deciding on exceptions, corrections and the close itself. That shifts time from processing to analysis and advice.

Order-to-cash (O2C) is the process from customer order to payment received: order, delivery, invoicing, credit control and matching the payment. In the order-to-cash process, AI can raise invoices from orders, match payments to open items, prepare reminders and flag exceptions. The financial controller keeps deciding on exceptions, such as payment plans, credit notes and write-offs.

Purchase-to-pay (P2P) is the purchasing chain from order to payment: purchase order, goods receipt, purchase invoice, approval and payment to the supplier. In the purchase-to-pay process, AI reads purchase invoices, pre-codes them, checks them against the purchase order and the goods receipt and gets them ready for approval. Differences in amount or quantity are flagged before anything is paid. Approving and releasing the payment remains work for people.

Yes, and it is often a logical first step. AI reads purchase invoices and receipts, proposes a posting and gets it ready in your accounting software. The bookkeeper checks and approves, and anything the AI is not sure about goes to a person as an exception. That shifts invoice processing from retyping to reviewing.

Yes. We connect to the accounting software you already use, such as the Dutch packages AFAS, Exact and Moneybird, and to your bank, CRM or ERP where needed. The EVOKE finance platform, for example, runs on an integration with AFAS.

That depends on the volume and the processes. At EVOKE, 15 core controls and automatic flagging mean up to 40 hours a month fewer manual checks, and the platform is designed to automate more than 60% of the month-end close. In an AI audit or a short pilot we work out per process what it delivers, before you invest.

Only if you build it that way: with fixed controls, a log of every step and outcomes that can be traced back to the transaction. That is why our AI runs alongside the rules you already have, not instead of them, and a person keeps the final decision.

Your financial data stays yours. We work with business AI models that do not use your data for training, choose processing within the EU wherever possible and record that in a data processing agreement. Access follows the permissions you already have.

That depends on the number of processes, the integrations with your systems and the volume. We agree a fixed scope and a fixed price up front, and ongoing development runs on a predictable monthly fee. Book an intro call for an estimate for your situation.

With the processes that cost the most hours and are the most repetitive, usually purchase invoices, reconciliations or reporting. At Victa we did that in a five-day on-site pilot, and in an AI audit we map it across your whole organisation in two weeks.