Can AI Make Collection Calls for Your Business? A Straight Answer
Yes, AI can make collection calls for a B2B business. Which companies it fits, what the agent says on the call, what stays with your team and how to start.
Pratheek Adi
Co-Founder & CTO
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Most AR teams already know which invoices are late. The hard part is the phone. A collector can work through a few dozen calls on a good day, and the rest of the aging report waits for an email reminder that often goes unanswered.
That gap is expensive. Atradius reports that 43% of credit-based B2B sales in the US are overdue, and 35% of US firms say their customers' payment behavior got worse (Atradius Payment Practices Barometer, US 2025). Finance teams are also moving to AI quickly: Gartner found that 58% of finance functions were using AI in 2024, up 21 percentage points from 2023 (Gartner, September 2024).
So the question controllers and AR managers ask us is practical, not theoretical: can AI make collection calls for my business, to my customers, without hurting the relationship? This guide gives the straight answer, a fit test you can run on your own aging report, and a clear line between what the agent does and what stays with your team.
Can AI Make Collection Calls for Your Business?
Yes. An AI collections agent can call your B2B customers about overdue invoices, in your company's name, and handle the routine part of the conversation from start to finish. It confirms the invoice, asks when payment is coming, records the answer and follows up by text or email.
It works best when three things are true:
You invoice other businesses on net terms.
You have more overdue invoices than your team can call each week.
Your invoice data lives in an accounting system the agent can read, or in an aging report you can export.
If all three are true, the real question is not whether AI can make the calls. It is which accounts it should call first, and which ones your people should keep.
What Does an AI Collections Call Actually Do?
An AI collections call follows the same structure a good collector uses, every time, on every account. The difference is that it never skips the small balances or the customers who are awkward to call.
Before the call
The agent reads the open invoices on the account, the due dates, the AP contact and any notes your team left, such as an open dispute or a key-account flag. Clean contact data matters here, because a perfect call to the wrong person collects nothing. Our guide to keeping the right AP contact on every account covers how to fix that first.
On the call
Says who is calling and why: your company, the invoice number, the amount and the due date.
Asks when the invoice will be paid, or what is holding it up.
Answers routine questions: a copy of the invoice, the PO number, how to pay.
Captures the outcome: a promise to pay with a date, a missing document, a dispute, or a request to speak with a person.
After the call
The agent sends a short follow-up by text or email with the invoice details, logs the result against the account and schedules the next touch. If the customer committed to a date, that date becomes the next checkpoint. Our guide to promise to pay tracking covers what to do when a commitment comes and goes.
The value is not one great call. It is the same clear call on every overdue account, every week.
Which Businesses Is AI Collections Calling a Good Fit For?
AI collections calling fits B2B companies where the number of overdue invoices is larger than the hours available to chase them. Industry matters less than volume and team shape.
Strong fit
Mid-market companies with hundreds of open invoices and an AR team of three or more people.
Distributors, contractors, manufacturers, staffing firms and professional services firms billing on net 30 to net 60 terms.
Teams whose collectors spend most of the week on routine reminders instead of disputes and key accounts.
Businesses whose customers have stopped replying to reminder emails. If that sounds familiar, see why customers ignore invoice reminder emails.
Weaker fit
A handful of large invoices that an account owner already handles personally.
Balances that are mostly in open dispute or already with a third-party agency.
Consumer debt. B2B collections agents such as Abivo are built for business customers, not individuals.
Run this quick fit check against your own aging report:
Signal in your AR | What it means for AI calls |
|---|---|
More than 100 open invoices | Strong fit: the long tail never gets a call today |
Three or more people chasing payments | Strong fit: the agent takes the routine calls, people take the disputes |
Customers ignore email reminders | Strong fit: a call gets a reason and a date |
Fewer than 20 customers, all key accounts | Weaker fit: keep the relationship owner on the phone |
Most overdue balances are disputed | Fix disputes first: a reminder call cannot settle a disagreement |
Will an AI Call Hurt the Customer Relationship?
A polite, accurate call on a predictable schedule rarely damages a B2B relationship. Silence followed by a sharp escalation does.
Most AP teams want the same things from any caller: the invoice number, the amount, the PO and a clear way to pay. An agent that gives them exactly that, in your company's name, comes across as organized rather than aggressive.
Three design choices protect the relationship:
Tone and timing. Friendly reminders on a fixed cadence read as a courtesy. Our follow-up cadence guide maps the touches after the due date.
One message per account. A customer with five overdue invoices gets one call that covers all five, not five separate reminders.
A fast handoff. The moment a customer disputes a charge or asks for a person, a named person on your team takes over with the full history.
For the longer answer, read will AI collections calls hurt customer relationships?
What Should Stay With Your Team?
The agent handles the routine first line. Your people handle the work that needs judgment. Drawing that line before you start is what makes the rollout smooth.
Give the agent
Reminder calls on invoices 1 to 60 days past due with no open dispute.
Small and mid-size balances that never get a call today.
Follow-up on promises to pay that came and went.
Requests for invoice copies, PO numbers and payment details.
Keep with your team
Disputes over quantities, quality or billing errors. Our guide on how to resolve invoice disputes lays out the workflow.
Payment plans and conversations about a customer's cash position.
Key accounts where a named relationship owner should make the call.
Any decision to put an account on credit hold or send it to an agency.
Keep the collectors. Point them at the accounts that need a person. If you are rethinking roles, see our guide to structuring a collections team of 3 to 5 people.
AI Collections Calls vs Email Reminders vs a Collection Agency
Each option solves a different problem. Most teams end up using the first three together and the fourth rarely.
Option | Best for | Where it falls short |
|---|---|---|
Email reminders from your accounting system | Early, automatic nudges on every invoice | Easy to ignore; no conversation and no reason for the delay |
AI collections calls | Routine follow-up on every overdue account, in your company's name | Disputes and negotiations still need your people, by design |
Your collectors | Disputes, key accounts and judgment calls | Capacity is limited to each person's week |
Collection agency | Accounts that have already broken down | Third party, late stage, and the customer relationship usually ends |
Most recoverable cash sits in the routine follow-up stage, long before an agency is involved. For the full comparison, see AI collections vs collection agencies.
How Do You Start With AI Collection Calls?
Start with one segment, measure it, then widen. A first rollout usually looks like this:
Pick a segment: invoices 1 to 60 days past due, no open dispute, below a balance you choose.
Clean the contact data: one AP contact and one phone number per account.
Set the cadence and the handoff rules: who receives disputes, and which accounts the agent never calls.
Run it for 30 days and compare promises captured, invoices paid and hours your team got back.
Widen to the next segment once the first one is working.
The first month is a test of your data as much as the agent. Wrong contacts and stale disputes show up fast, and fixing them helps your whole team.
How Does Abivo's Kate Make Collection Calls?
Abivo's AI agent, Kate, calls your customers about overdue invoices in your company's name, follows up by text and email, records promises to pay and hands disputes or requests for a person to your team with the full history. Kate works from the system you already use, including QuickBooks, Xero, NetSuite, Sage Intacct, Microsoft Dynamics 365 Business Central and Chargebee, or from an aging report export.
OFS Group, a fire protection contractor, recovered $842,518 in four months, cut DSO by more than 30 days and went from four collectors to one. Read the OFS Group case study for how the team set it up.
For a walkthrough of the calls themselves, read AI collections calls for B2B and how an AI agent calls customers about overdue invoices. To compare tools, see our roundup of the best AI accounts receivable and collections software and the best AI voice agents for B2B collections calls.
Practical Takeaways for AR Teams Considering AI Calls
Yes, AI can make collection calls for a B2B business. It fits best when overdue volume outruns your team's hours.
Start with routine invoices 1 to 60 days past due and no open dispute.
Protect the relationship with a fixed cadence, one message per account and a fast handoff to a person.
Keep your collectors on disputes, payment plans and key accounts.
Measure promises captured, invoices paid and hours returned before you widen the rollout.
Frequently Asked Questions
Can AI make collection calls for a small business?
Yes, if the business invoices other businesses on net terms and has more overdue invoices than it can call. A business with a few large customers usually gets more from the owner calling personally.
Will customers know they are talking to an AI?
A well-built agent introduces itself by name as part of your team. If a customer asks whether they are speaking with a person, it answers honestly and offers a human contact.
What happens when a customer disputes an invoice on the call?
The agent records the dispute, stops chasing that invoice and hands the account to a named person on your team with the call notes attached.
Does an AI agent replace my collections team?
No. It takes the routine calls off the team's plate so collectors can spend the week on disputes, payment plans and key accounts.
Which accounting systems does it need?
Any system the agent can read invoice data from. Kate works with QuickBooks, Xero, NetSuite, Sage Intacct, Microsoft Dynamics 365 Business Central and Chargebee, or with an aging report export.
Want to hear what an AI collections call sounds like on your own overdue invoices? Get Started and we will walk through it with you.
