Automating Accounts Payable and Receivable With AI

Accounts payable and accounts receivable — the processing of what the business owes and what it is owed — are among the most transaction-heavy, routine processes in finance, and natural candidates for automation and AI assistance. Much of the work in AP and AR is routine and repetitive — processing invoices, matching, recording, chasing — which suits automation, and AI can help take on and streamline this work, freeing the finance team’s time and reducing the manual burden. But AP and AR also involve controls and accuracy that matter — paying the right amounts to the right parties, recording transactions correctly, managing what is owed — which means automating them with AI must be done carefully, keeping the controls sound and the accuracy assured. For a finance team looking to streamline AP and AR, understanding where AI can help and how to use it while keeping the processes sound is genuinely useful. This guide addresses automating AP and AR with AI.

This guide is written for finance teams and professionals looking to use AI to automate and streamline accounts payable and receivable. It covers where AI can help with AP and AR, why the controls and accuracy must be maintained, how to use AI while keeping the processes sound, the safeguards required, and how to approach automating AP and AR sensibly. The aim is a practical understanding of how AI can help streamline AP and AR, capturing the value of automating routine, transaction-heavy work while ensuring the controls and accuracy that AP and AR require are maintained.

Where AI Can Help With AP and AR

AI and automation can genuinely help with AP and AR by taking on the routine, transaction-heavy work, and understanding where they help shows the value. In accounts payable, AI and automation can help with processing invoices — capturing invoice data, matching invoices to orders and receipts, routing them for approval, and preparing them for payment — much of which is routine and repetitive and suits automation, streamlining the invoice processing that is the bulk of AP work. AI can help extract and process the invoice information, match it, and move it through the process, reducing the manual effort in AP.

In accounts receivable, AI and automation can help with processing and recording what is owed, generating and sending invoices, tracking receivables, and assisting with the chasing of overdue amounts — the routine, repetitive work of managing receivables. AI can help with the routine AR processing and with assisting the collections work, such as helping to identify and prioritise overdue accounts or drafting chasing communications. In both AP and AR, AI and automation can take on much of the routine, high-volume, transaction-heavy work — the processing, matching, recording, tracking, and routine communications — streamlining these processes and freeing the finance team’s time. Understanding where AI can help with AP and AR — the routine processing, matching, recording, tracking, and communications — helps a finance team capture the value by automating the routine parts. The help is real, principally in automating the routine, transaction-heavy work that consumes much of the AP and AR effort, and capturing it is where a finance team streamlines AP and AR with AI.

Why the Controls and Accuracy Must Be Maintained

While AI can streamline AP and AR, the controls and accuracy in these processes must be maintained, and understanding why is essential to automating them safely. AP and AR involve important controls and accuracy — in AP, ensuring the business pays the right amounts to the right parties, only for genuine obligations, with proper authorisation, and guards against error and fraud; in AR, ensuring what is owed is correctly recorded and managed, and the right amounts are collected. These controls and accuracy matter because errors or control failures in AP and AR can lead to wrong payments, fraud, misstatement, or lost amounts, with real financial consequences.

This means automating AP and AR with AI must not compromise the controls and accuracy: the automation must still ensure the payments are right and authorised, the transactions correctly recorded, and the controls against error and fraud maintained. Automating the routine processing must not weaken the controls that guard against wrong payments, fraud, or misstatement — these controls must remain sound even when the processing is automated. Because AP in particular involves the payment of money, the controls against wrong or fraudulent payments are especially important and must be maintained through any automation. Understanding why the controls and accuracy must be maintained — because AP and AR involve the payment and collection of money, where errors and control failures have real consequences — is essential to automating them safely. The controls and accuracy must remain sound even when AP and AR are automated, and understanding this is key to automating them without compromising the controls that guard against error, fraud, and misstatement.

How to Use AI While Keeping the Processes Sound

Using AI for AP and AR while keeping the processes sound means using automation to streamline the routine work while maintaining the controls and accuracy. The finance team can use AI and automation to take on the routine processing — the invoice processing, matching, recording, tracking, communications — capturing the efficiency, while ensuring the controls remain in place: the payments properly authorised, the transactions correctly recorded, the controls against error and fraud maintained. The automation streamlines the routine work, but the controls that ensure the processes are sound continue to operate, with appropriate human oversight and authorisation where the controls require it.

This means, for AP, ensuring that automated invoice processing still routes payments through proper authorisation, that the controls against wrong or fraudulent payments are maintained, and that the payments are verified as right before being made — the automation streamlining the processing but not removing the controls and authorisation that guard the payments. For AR, ensuring the automated processing correctly records and manages what is owed, and that the accuracy is maintained. And in both, verifying that the automation is working correctly and the transactions are accurate, because errors in the automation could cause problems. Using AI while keeping the processes sound therefore means automation streamlining the routine work while the controls, authorisation, and accuracy are maintained with appropriate oversight. Understanding how to use AI while keeping the processes sound — automation streamlines, controls and accuracy maintained — helps a finance team automate AP and AR without compromising them. Using AI to streamline while keeping the controls and accuracy sound is how a finance team captures the efficiency of automating AP and AR while maintaining the processes’ integrity.

The Safeguards Required

Automating AP and AR with AI safely requires safeguards, given the controls and accuracy these processes involve, particularly around payments. The foundational safeguard, especially for AP, is maintaining the controls against wrong and fraudulent payments — ensuring that automated processing still routes payments through proper authorisation, that payments are verified as genuine and correct before being made, and that the controls guarding against error and fraud are not weakened by the automation. Because AP involves paying money, these payment controls are critical and must be maintained through any automation, with appropriate human authorisation and oversight of the payments.

Related safeguards include verifying that the automation is working correctly and the transactions are accurate, because automation errors could cause wrong payments or misrecording; maintaining the accuracy of the AP and AR records, ensuring the automation records transactions correctly; attending to data security, ensuring the financial and counterparty data involved is protected; and retaining appropriate human oversight of the automated processes, particularly for the payments and the exceptions. A finance team that applies these safeguards — maintaining the payment controls, verifying the automation, ensuring accuracy, data security, human oversight — automates AP and AR safely; one that does not, particularly one that weakens the payment controls, risks wrong payments, fraud, or misstatement. Understanding the safeguards required helps a finance team automate AP and AR without compromising the controls and accuracy. The safeguards, particularly maintaining the payment controls in AP, are what make automating AP and AR safe, and applying them is essential given that these processes involve the payment and collection of money.

How to Approach Automating AP and AR Sensibly

A finance team should approach automating AP and AR sensibly, capturing the efficiency while maintaining the controls and accuracy. This means using AI and automation to streamline the routine, transaction-heavy work — the processing, matching, recording, tracking, communications — capturing the efficiency, while maintaining the controls, authorisation, and accuracy, particularly the payment controls in AP, with appropriate human oversight. It means applying the safeguards, so that automation streamlines the processes without weakening the controls that guard against error, fraud, and misstatement. And it means treating automation as a way to streamline the routine work, not to remove the controls the processes require.

Approaching the automation sensibly also means implementing it carefully — ensuring the automation works correctly and reliably, that the controls are maintained through it, and that appropriate oversight remains — rather than automating carelessly in a way that weakens the controls. It means being particularly careful with AP given the payment of money, ensuring the payment controls are robustly maintained. And it means starting appropriately and verifying the automation before relying on it heavily. A finance team that approaches automating AP and AR this way — capturing the efficiency, maintaining the controls and accuracy, applying the safeguards, implementing carefully — streamlines AP and AR to genuine benefit while keeping them sound; one that automates carelessly, weakening the controls, risks wrong payments, fraud, or misstatement. Understanding how to approach automating AP and AR sensibly helps a finance team capture the efficiency while maintaining the controls and accuracy. Approaching the automation of AP and AR sensibly — capturing the efficiency while maintaining the controls and accuracy — is how a finance team benefits from automating these transaction-heavy processes without compromising the controls that guard the money involved. This connects to the safe-use principles in where AI helps and where it is dangerous and the controls discipline in designing financial controls that work.

The Fraud Risk in Automated Payments

A particular danger to guard against in automating accounts payable is the fraud risk, because AP involves the payment of money and automation, if not properly controlled, could create openings for fraud. Payment fraud — fraudulent invoices, diverted payments, manipulated payment details — is a real risk in AP, and the controls that guard against it, including proper authorisation and verification of payments, are critical. Automation must not weaken these controls: an automated AP process that pays invoices without proper verification and authorisation could be exploited to make fraudulent payments, which is why the controls against fraud must be robustly maintained through any automation.

Guarding against the fraud risk in automated payments means ensuring the automated AP process retains the controls that guard against fraud — the verification that invoices are genuine, the authorisation of payments, the checks on payment details — with appropriate human oversight of the payments, rather than allowing automation to make payments without these safeguards. The efficiency of automation must not come at the cost of the controls that protect against payment fraud, which can be significant. A finance team automating AP must therefore ensure the fraud controls are maintained, with the verification and authorisation of payments kept robust through the automation, and appropriate human oversight of the payments. Understanding the fraud risk in automated payments — and the need to maintain the fraud controls through any automation — is essential to automating AP safely, because AP involves paying money and the fraud risk is real. Guarding against the fraud risk, by maintaining the payment controls and oversight through the automation, is a critical part of automating AP safely, and a finance team must not let the efficiency of automation weaken the controls that protect against payment fraud.

The Efficiency Gains Across the Transaction Cycle

It is worth appreciating the scale of the efficiency gains that automating AP and AR can bring, because these processes are so transaction-heavy that automating the routine work can free significant time. AP and AR involve high volumes of routine, repetitive transactions — the many invoices to process, match, record, and pay in AP; the many receivables to invoice, record, track, and chase in AR — and the manual handling of this volume consumes considerable finance team time. Automating the routine handling of this volume can therefore free a meaningful amount of time, which is where much of the value of automating AP and AR lies.

The efficiency gains accumulate across the high transaction volume — each automated transaction saves a little manual effort, and across the many transactions the savings accumulate into a meaningful reduction in the manual burden of AP and AR. This freed time can be redirected to higher-value work, or can reduce the resource the transaction processing requires, which is a genuine benefit for a finance function. A finance team that automates the routine AP and AR work across the transaction volume captures these accumulated efficiency gains, while maintaining the controls and accuracy the processes require. Understanding the scale of the efficiency gains — accumulating across the high transaction volume — helps a finance team appreciate the value of automating AP and AR. The efficiency gains are genuine and significant given the transaction volume, and capturing them while maintaining the controls is where a finance team benefits from automating these transaction-heavy processes, freeing time from routine work while keeping the money the processes handle properly controlled.