5 Accounts Payable Automation Stats Every Finance Leader Needs to Know in 2026
by Hannah Khouri
The life of a modern finance professional is no walk in the park. These teams are under more pressure than ever to move faster, maintain near-perfect accuracy, and deliver insights that move the business forward.
And in today’s economic reality, they’re expected to do it all with smaller teams and fewer resources. No pressure, right?
To keep up, more and more teams are turning to accounts payable automation. But more often than not, they’re taking a piecemeal approach to automation that leaves them with disconnected systems, siloed data, and plenty of manual work still in place.
It’s time for finance teams to rethink what AP automation really means. But where can they start?
To find out, Ottimate surveyed more than 200 finance professionals to understand how they’re approaching AP automation today, what roadblocks they’re still facing, and how they plan to close the gaps. In this post, we’ll highlight five of the top findings every finance leader needs to know as they rethink their AP automation strategy for 2026 and beyond.
Key finding #1: 50% of AP teams process 5,000 or more invoices every month
AP teams have always been busy. That’s nothing new. But today, they’re busier than ever before.
Half of AP teams now process more than 5,000 invoices each month, and a quarter handle 10,000 or more.
In and of itself, a high volume of invoices isn’t problematic. It’s simply an indicator that the business relies on a wide range of vendors to keep operations running smoothly.
The problem is that often, AP processes aren’t built to handle this scale without sacrificing accuracy.
Processing thousands of invoices every month takes time. Nearly four in 10 finance teams say it takes five or more days to process a single invoice. Multiply that by thousands of invoices, and it quickly becomes unmanageable.
Higher volume also brings higher risk. Consider an organization that processes 5,000 invoices each month. They might maintain a 10% error rate, which seems reasonable on the surface. But it can easily add up to 500 potentially costly mistakes every month.
Chances are, your invoice volume won’t go down anytime soon. So now’s the time for finance leaders to ensure their AP tools and processes are built to manage a high volume while maintaining accuracy and keeping risk at bay.
Key finding #2: Only 4% of organizations have fully automated accounts payable
In the not-so-distant past, accounts payable looked largely the same from organization to organization. Paper invoices arrived in the mail, were routed for approval by hand, and manually keyed into the ledger.
But today, that’s not the case. Thanks to rising demands placed on finance teams and new technology promising to address it, most organizations have adopted at least some AP automation. In fact, 93% of organizations have incorporated at least some level of automation into their AP processes.
But here’s the catch. Nearly all of those companies are using a combination of automation and manual workflows. For example, a company might use automation to extract data from paper and digital invoices, but continue to manage coding, matching, and approval routing by hand.
A mere 4% have truly automated the entire AP process from end to end. In other words, they’ve automated the entire invoice lifecycle with no manual touchpoints.
When teams are used to managing everything by hand, partial automation can feel like major progress. But in reality, this approach leads to disconnected systems, inconsistent processes, and data silos. It all adds up and makes finance professionals’ lives harder, instead of easier.
Key finding #3: 55% of finance teams feel their invoice ingestion and approval workflows are falling short
Most finance teams now use at least some automation in their AP workflows. But because of their partial approach, many are still dealing with frustrations that slow them down and expose the organization to avoidable risk.
Finance teams are seeing some concerning gaps across the entire invoice lifecycle. But it’s especially notable that 55% don’t feel their invoice ingestion and approval workflows are efficient. These are foundational AP processes, yet more than half of teams don’t feel equipped to effectively and efficiently handle them.
Sure, partial automation might reduce some friction. But it doesn’t completely eliminate manual work or provide the visibility finance teams need to be effective and efficient. As a result, AP often remains reactive, rather than proactive.
Finding #4: Half of finance teams spend 6+ days closing the AP books
Closing the books should be a relatively simple, routine process. But the data tells a completely different story.
Per our research, 51% of teams spend six or more days closing the AP books each month. For these folks, month-end is often a stressful scramble, rather than a simple and straightforward process.
Make no mistake: this stat is concerning. But when you really stop to think about it, it’s not all that surprising.
When finance teams take a partial approach to automation, manual reporting and reconciliation are still required. Because there’s no real-time visibility into accurate financial data, month end is a slog.
Sure, this is frustrating. But what’s even more concerning is the fact that leaders are forced to make decisions based on unreliable data, which increases risk and slows growth.
Unified automation flips the script by enabling real-time reporting and continuous visibility. Month-end becomes less of a hassle and finance leaders always have accurate insights so they can make smarter decisions that move the business forward, no matter what time of the month it is.
Finding #5: 41% of finance teams have experienced invoice fraud or overpayment in the last year.
The rapid evolution of AI is delivering some serious benefits to finance teams. But it also opens the door to new risks.
Notably, AI has made fraud more sophisticated and harder to detect. That explains why 41% of organizations have encountered invoice fraud or overpayment in the last year.
While this figure is troubling enough, the real number is likely even higher. Why? Because fraudulent payments are often detected weeks or months after they happen – if they’re detected at all.
By now, most organizations have controls in place that they hope to reduce risk, like manual reviews and multi-level approvals. But these controls are labor-intensive and dependent on human judgement. And when teams are working on disconnected systems with limited visibility, errors and fraud can easily slip through unnoticed.
As invoice volumes continue to grow and AI-powered fraud tactics evolve, manual safeguards simply aren’t enough to protect the business. AI-powered automation is becoming the most effective line of defense against increasingly AI-powered fraud attempts.
It’s time to rethink AP automation
Clearly, AP teams face a number of challenges. But as the data proves, a “good enough” approach to AP automation isn’t enough to overcome them. In fact, relying on a blend of automated and manual processes can actually cause more problems than it solves.
The good news is that the challenges faced by AP teams are solvable. But doing so requires finance leaders to rethink what AP automation really means for their organization.
Adding another standalone AP automation tool to an already bloated tech stack won’t deliver the impact leaders hope for. Instead, teams need a unified approach to AP automation that connects the entire invoice-to-payment lifecycle and eliminates the gaps and manual work left behind by fragmented tools.
Ready to dig deeper into these findings and find out what top-performing AP teams are doing differently? Download the full report today.