Business Central AI Agent ROI: AP and Expense Savings

It’s 4:15 on a Friday, and one invoice refuses to cooperate.

The vendor name doesn’t quite match what’s in the system. The purchase information needs to be checked and someone still has to approve it. Meanwhile, a field technician has submitted a receipt with just enough information missing to guarantee an email from Finance.

None of this takes very long to handle. And that may be the problem.

Five minutes here, another few there, a little more time to track down an approval. Multiply those minutes across hundreds of transactions, and the math starts to look different.

In the first article in this series, I looked at how AI agents can take on routine tasks while employees stay in control of the decisions that matter. Now it’s time to put some numbers behind that idea and look at what those capabilities could mean for companies using Dynamics 365 Business Central.

The real opportunity behind Business Central AI agent ROI isn’t necessarily reducing headcount. It’s giving skilled finance employees more time for analysis, forecasting, controls, and the exceptions that genuinely require their attention.

The hidden cost of manual finance work

Manual finance work rarely arrives as one big, obvious expense. It shows up in small tasks repeated all day:

• entering invoice data

• matching vendors

• categorizing expenses

• checking receipts

• following up on approvals

• correcting incomplete information

I’ve seen capable finance employees spend far too much of their day doing work that requires attention but very little of the judgment they were hired to provide.

That’s what makes the cost easy to underestimate. With accounts payable automation and invoice processing automation, the goal isn’t simply to make each transaction move faster. It’s to reduce the number of routine touches required along the way.

For a finance team handling hundreds or thousands of transactions, even modest improvements can recover meaningful capacity. And unlike another five-minute task, recovered capacity gives employees somewhere better to focus their attention.

How can Business Central AI agents reduce manual work in accounts payable and expense processing?

Business Central AI agents can handle much of the routine data capture and preparation that happens before a finance employee needs to review the transaction.

With the Business Central Payables Agent, an incoming invoice can be monitored, its information extracted, the vendor identified, and a draft purchase document prepared.

Instead of starting with a blank screen, the employee starts with work that’s already been assembled and focuses on verifying it and resolving exceptions.

The Business Central Expense Agent applies the same idea to receipts and expenses. It can capture receipt information, categorize expenses, apply company policies, and prepare expense reports for review.

Think of the agents as moving routine transactions through the line while directing the unusual ones to people who can make the judgment call.

For a Field Service team, that could mean less time turning a technician’s receipt into usable expense information and more time reviewing the exceptions that actually need Finance.

Where the time savings come from

The biggest savings don’t necessarily come from making one step dramatically faster. They come from removing routine touches throughout the process.

Less manual entry means fewer opportunities for information to be entered incorrectly. Faster matching reduces the time spent comparing invoices with vendors and purchase documents. Fewer handoffs and more complete information can also mean less follow-up between Finance, approvers, and employees in the field.

That’s the same principle I discussed when looking at the potential cost savings of moving to Business Central: small improvements in repetitive work become much more meaningful when they’re multiplied across the business.

The important number, then, isn’t simply how many minutes an agent saves on one transaction. It’s how many of those minutes Finance can recover over a month or a year.

And that’s where Business Central AI agent ROI starts becoming measurable.

Business Central AI agent ROI: Putting a number on recovered time

How do you calculate the ROI of an AI agent in accounts payable?

Start with what happens today. Look at invoice and expense volume, average processing time, exception rates, approval turnaround, and the loaded labor cost of the employees involved.

Then estimate how much time an agent could remove from manual entry, matching, corrections, and follow-up.

A simple starting point is:

Annual value = hours recovered × loaded labor cost + avoided processing costs − implementation and AI usage costs.

There’s an important distinction here. Recovered employee time isn’t automatically a reduction in payroll. If the same people remain on the team, the financial value comes from what they can accomplish with that capacity:

• stronger controls,

• more analysis,

• better forecasting,

• faster exception handling,

• or simply keeping up with growing transaction volume without adding the same amount of administrative work.

That’s a more useful way to think about Business Central AI agent ROI. The question isn’t only, “How much time did we save?” It’s also, “What can Finance do with that time now?”

What does it cost to use AI agents in Business Central, and when is the investment worth it?

Selected Business Central agents use consumption-based billing through Copilot Credits, so cost depends on which agent you use and how much work it performs. Microsoft currently lists Expense Agent and Payables Agent among its billable Business Central agent capabilities.

For example, Microsoft says Expense Agent consumes 50 Copilot Credits for each receipt it handles, regardless of complexity. Payables Agent consumption varies with invoice processing and the number of invoice lines.

That makes transaction volume part of the ROI calculation. The investment makes sense when the value of recovered employee capacity and process improvements outweighs implementation and ongoing usage costs.

In other words, don’t ask only what the agent costs. Ask what the work it replaces is costing you today.

Process readiness still matters

Of course, an agent can only work with the process you give it. Automating confusion tends to produce faster confusion, which isn’t exactly the efficiency we’re after.

Before evaluating Business Central AI agent ROI, make sure vendor and employee data are accurate, approval rules are clear, purchasing and expense processes are consistent, and exceptions have defined owners.

That doesn’t mean every process needs to be perfect before you start. But it does mean you need to understand where the inconsistencies are. If Finance regularly has to stop and ask what should happen next, an agent will run into many of the same questions.

Good process readiness helps agents handle routine work more effectively and makes it easier to measure whether the technology is actually improving the operation.

Turning recovered time into financial value

AI agents can help Finance process routine transactions faster, but speed is only part of the return. The real value comes from giving skilled employees more time for the analysis, controls, forecasting, and decisions that need their expertise.

In the final article in this series, I’ll look beyond standard agents to explore how custom agents could support processes unique to your business.

If you want to understand what Business Central AI agent ROI could look like for your AP or expense processes, let’s talk. We can assess where the time goes today and where an agent could make a measurable difference.

And whether you're exploring Business Central AI agents, evaluating a move from Dynamics GP, or simply trying to get more from Business Central, I host open Office Hours every Tuesday at 11:30 ET. Bring your questions and let's talk through what makes sense for your business.

About the Author

Chris Boling is a founding partner of Sandlapper Dynamics, where he helps businesses streamline operations, enhance productivity, and achieve strategic growth through Microsoft Dynamics 365. With over two decades of experience in the Dynamics community, Chris combines deep technical expertise with a customer-first approach to guide organizations through digital transformation.

His unique perspective, shaped by years as both a consultant and an end-user, enables Chris to deliver practical insights that bridge the gap between technology and business outcomes.

Chris brings authenticity, empathy, and a commitment to sustainable growth to every engagement.

You can reach Chris on LinkedIn.