MakersHub automates and simplifies accounts payable (AP) for businesses with complex operations and high payment volumes. Our solution streamlines bill capture, coding, approval routing, and payment processing, giving finance teams real-time visibility into project costs and cash flow. Learn more today.
Here’s the first hurdle: invoices don’t arrive neatly structured. They come as PDFs, emails, and scans—some with dozens or even hundreds of line items. Traditionally, the only way to deal with them has been to type them in by hand. That means hours of tedious data entry, endless opportunities for typos, and a very human temptation to just code the total amount to a single GL account.
But here’s the catch: when you lose line-item detail, you lose margin visibility. If the cost of a single component creeps up, you won’t see it. And before long, you could be selling at a loss without realizing it.
This is where AI shines. Instead of typing, artificial intelligence can extract every line item from every invoice—automatically. It doesn’t just read the total; it captures each component, codes it to the correct job, SKU, class, or cost center, and learns as it goes. Over time, the system gets smarter, requiring less human correction and delivering more accuracy.
The result? Every nut, bolt, and screw is accounted for. No more blind spots. No more hidden cost drift. Just clean data and full visibility into your true costs.
Purchase orders are more than paperwork—they’re commitments. They define the prices, quantities, and terms you agreed to. But anyone who’s worked in AP knows invoices rarely match POs line-for-line. Prices change, shipments arrive partially, freight and taxes get tacked on later. And to make it even trickier, one invoice may tie to multiple POs, or one PO may span multiple invoices.
Manually reconciling these is a nightmare. Accounting systems try to help by copying PO lines onto a bill, but someone still has to go line by line fixing mismatches. It’s slow, it’s messy, and it’s error-prone.
AI changes the game. With intelligent PO and invoice reconciliation, AI systems compare bills against open POs line by line—automatically. They handle the many-to-many scenarios without blinking, flagging only the issues that need a human decision. Instead of spending hours reconciling every invoice, your team spends minutes reviewing exceptions.
That means fewer overpayments, no more missed discounts, and much stronger vendor control. Suddenly, three-way matching isn’t a dreaded process—it’s just part of the workflow.
Now let’s talk about what happens when bills don’t get matched and POs don’t get closed: your Open PO report becomes a graveyard. These “zombie POs” linger long after goods are delivered, cluttering your system, inflating liabilities, and making it appear you owe more than you do.
The real problem? Finance stops trusting the data. When your Open PO report is garbage, cash flow forecasting turns into guesswork. Accruals become unreliable. Vendor negotiations are built on shaky ground.
AI solves this, too. By automatically closing or marking POs as partially fulfilled as invoices are processed, AI keeps your records clean and current. The Open PO report reflects true obligations, which means finance can forecast confidently and operations can plan without second-guessing.
When your PO data is trustworthy, you’re not just managing payables—you’re managing the business with clarity.
It’s easy to think of these problems as annoyances, but they have very real financial consequences.
These aren’t small issues. They’re systemic leaks that quietly drain profit and weaken the very relationships your business relies on.
When artificial intelligence takes on these three core jobs, AP stops being a headache and starts becoming a strength. Here’s what good looks like:
Instead of spending hours on manual tasks, your AP team focuses on analysis, strategy, and strengthening vendor relationships. Finance gains reliable visibility into costs and obligations. Operations can plan with confidence. Vendors get paid on time and correctly, improving trust and collaboration.
And most importantly, margins are protected. Cost drift doesn’t sneak up on you. Cash flow forecasts are based on reality, not gut feel. Your AP function becomes a driver of stability, not uncertainty.
Artificial intelligence in AP isn’t about replacing people—it’s about empowering them. AI takes on the repetitive, error-prone tasks so humans can focus on higher-value work. It automates invoice capture, accelerates three-way matching, simplifies approval workflows, and provides continuous visibility into costs.
Think of it like moving from a typewriter to a laptop. The work is the same at its core—you’re still managing invoices, POs, and payments—but the efficiency, accuracy, and scalability are on a completely different level.
For manufacturers, where margins are thin and input costs are volatile, the difference isn’t just convenience. It’s survival.
All of this sounds great in theory, but how do you put it into practice? That’s where MakersHub comes in.
MakersHub is built specifically for manufacturers who need to manage complex purchase orders, bill-to-PO line-item matching, and approval workflows at scale. Here’s how it helps:
With MakersHub, you don’t just automate AP—you transform it into a faster, safer, smarter process that aligns with how manufacturing really works.
Ready to see what faster, safer, and smarter AP looks like? Let’s talk.
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