AI and Accounts Receivable: What CPAs and Business Owners Need to Know
AI Is Here, But What Should It Really Do?
AI is everywhere right now. Depending on who you listen to, it will either save the accounting industry or take it over completely.
Maybe.
But I think there is a better question to ask: how should AI actually help with the financial side of a business?
In this episode of Financially Fit Business, I talk with George Curdon, co-founder and CEO of Munk, about how AI can help businesses and CPAs manage accounts receivable more effectively.
We talk about collections, cash application, invoice follow-up, payment matching, and the places where AI can save time without taking judgment away from the people who still need to make the final call.
Getting Paid Faster Matters
Every business owner understands this problem. You do the work, send the invoice, and then someone still has to follow up to make sure the money comes in.
That follow-up takes time. It also takes consistency, professionalism, and the right tone.
AI can help with that. It can send timely follow-up messages, help match payments to invoices, manage routine collections tasks, and reduce the manual work that slows accounting teams down.
For businesses with a high volume of invoices, this can make a real difference. It can also help CPAs serve clients more efficiently and give them better visibility into cash flow.
AI Still Needs Guardrails
AI can handle many repetitive tasks very well. However, it should not handle everything on its own.
George and I talked about the areas where human judgment still matters. Compliance issues, customer disputes, product problems, damaged goods, service complaints, and unusual payment objections all need a person involved.
Sometimes an invoice does not get paid because something real happened. Maybe the product arrived damaged. Maybe the work did not meet expectations. Maybe the customer has a valid concern that needs review.
Those situations need judgment, experience, and a human being who understands the customer relationship.
What CPAs Should Ask First
Before recommending any AI accounts receivable tool, CPAs should ask practical questions.
Does it integrate with the systems the client already uses? Can it work with their accounting software, ERP, payment tools, or invoicing process? How does it handle security, permissions, rules, exceptions, and escalations?
The tool matters. But the setup matters just as much.
AI works best when experienced professionals set the rules, review the exceptions, and decide where automation ends and human judgment begins.
The Real Opportunity
For CPAs and advisors, AI is not just about saving time. It is about helping clients improve cash flow, reduce stress, and get better control over one of the most important parts of their business.
Accounts receivable may not be exciting, but it matters. If invoices do not turn into cash, the business suffers.
This episode will help you think through what AI can do, what it should not do, and how to use it wisely with your clients or in your own business.
Choose one thing you discover in this episode and implement it in your business. These ideas, tactics, and strategies help you make more money, have more free time, and give back.
People Also Ask
How can AI help with accounts receivable?
AI can help automate repetitive accounts receivable tasks such as invoice follow-up, collections reminders, cash application, payment matching, and reporting. This can help businesses get paid faster and reduce the amount of manual work required from accounting teams.
Can AI handle collections for a business?
Yes, AI can help with collections by sending timely, professional follow-up messages and responding to common payment-related issues. However, the messaging still needs the right tone, rules, and guardrails so customers feel like they are dealing with a real person who understands the business relationship.
What should AI not do in accounts receivable?
AI should not be left alone to handle compliance issues, complex customer disputes, damaged product claims, service complaints, or situations where judgment is required. Those issues should be escalated to a person who understands the customer, the business, and the financial impact.
Why is cash application important?
Cash application is the process of matching payments that come into the bank with the correct invoices. For businesses with a high volume of invoices, this can become tedious and time-consuming. Automating part of this process can help improve accuracy, speed up month-end close, and give business owners a clearer picture of cash on hand.
What should CPAs ask before recommending an AI accounts receivable tool?
CPAs should start by asking whether the tool integrates with the client’s current accounting, ERP, payment, or invoicing systems. They should also ask how the tool handles security, permissions, escalations, compliance-related issues, and human review.
Will AI replace the CPA or accounting advisor?
No. AI can handle many repetitive tasks, but it still needs experienced professionals to set the rules, review exceptions, interpret results, and make judgment calls. The opportunity for CPAs is to use AI to reduce manual work and provide better financial guidance to their clients.