AI Collections Software for B2B Accounts Receivable
AI collections software uses an AI agent to call, text and email customers about overdue invoices. What it does, how to evaluate it, and where people stay in the loop.
Sia Ghazvinian
Co-Founder & CEO
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In the United States, 43% of the value of B2B sales was overdue in 2025, according to Atradius. For most finance teams, the problem is not knowing which invoices are late. It is finding the hours to call, text and email every customer about them, every week.
AI collections software uses an AI agent to do the follow-up on overdue invoices itself: it calls, texts and emails customers, holds the conversation, records payment commitments, and passes disputes to people. Abivo is AI collections software for B2B accounts receivable, and its agent, Kate, works your overdue invoices while your finance team keeps control of disputes and key accounts.
Best for: B2B finance teams that already know which invoices are overdue but do not have the hours to follow up on all of them.
What Does "AI" Actually Mean in Collections Software?
The label covers very different products. Most of what is sold as AI collections falls into one of three levels:
AI-assisted reminders. A reminder tool that uses AI to draft email copy, suggest send times or prioritize a worklist. A person still does the real follow-up.
AI copilots for collectors. Tools that summarize account history, predict which customers will pay late, and recommend the next action. Useful, but your collector still makes the call.
AI collections agents. Software that performs the follow-up: it places the call, sends the text, reads the reply, answers routine questions, records a promise to pay, and decides whether a person needs to step in.
All three can be valuable, and they solve different problems. If your bottleneck is deciding what to do, a copilot helps. If your bottleneck is that nobody has time to do it, you need an agent. We break down the distinction in autonomous versus assisted AR collections.
How Is an AI Collections Agent Different From Automated Reminders?
A reminder is a one-way message. It goes out on a schedule and hopes for a payment. If the customer replies with a question, the reply lands in someone's inbox and waits.
An agent holds a two-way conversation. When Kate calls an accounts payable contact, she introduces herself as calling on behalf of your company, confirms the invoice, and listens. Typical answers she can handle on her own:
"We never received that invoice." She resends it to the right address.
"We need a PO number on it." She asks which PO, records it, and flags it for your team to reissue.
"It is scheduled for the next payment run." She records the promised date and follows up if it passes.
"I am not the right person." She asks who is, and updates the contact.
What she does not do is argue. If the customer disputes a charge, asks about a credit, or simply wants to talk to someone at your company, the account goes to your team with the transcript attached. You can hear what a call sounds like in how an AI agent calls customers about overdue invoices.
What Should an AI Collections Agent Be Able to Do?
Ask every vendor to demonstrate these, using real calls or recordings rather than slides:
Place real phone calls and hold a natural conversation, including interruptions and questions.
Use text and email as well, and choose the channel that fits the customer and the stage.
Read live data from your accounting system, so it never chases an invoice that was paid this morning.
Write outcomes back, including promises to pay, contact changes and notes.
Stay inside rules you set: tone, cadence, which accounts are excluded, what it can and cannot agree to.
Recognize a dispute and hand it to a person instead of continuing.
Keep a complete log of every call, text and email, with transcripts your team can review.
Identify itself honestly as calling on behalf of your company.
Start small, on a subset of invoices, so you can review conversations before expanding.
If a product cannot show a real call, treat its "agent" claim with care.
Where Do Humans Stay in the Loop?
The best AI collections setups are clear about the line between the agent and the team. A practical split looks like this.
What the Agent Handles
First and repeat follow-up on every overdue invoice, confirming receipt, resending documents, collecting payment dates, updating contacts, and following up on missed promises.
What People Handle
Disputes about price, scope or quality; credit and write-off decisions; payment plan exceptions; key accounts that a named person owns; anything involving the commercial relationship, such as a contract renewal or a credit hold.
What Both See
One history per customer, so when an account is escalated, the collector reads exactly what was said and picks up from there.
This split is why AI collections does not mean fewer people on the team. It means the people on the team stop spending their week leaving voicemails.
How Do AI Collections Agents Compare With Other Tool Types?
Here is how the common options divide the work:
Tool type | Who does the follow-up | Calls and two-way replies | Human role |
|---|---|---|---|
Accounting system reminders | Scheduled emails | No | Handles every reply and every call |
Dunning and reminder tools | Email and text sequences | Replies go to your team | Handles replies, calls and disputes |
AR platforms with AI features | Your collectors, with AI prioritization | Through your collectors | Does the follow-up, guided by the software |
AI collections agents | The agent | Yes | Handles disputes, exceptions and key accounts |
Collection agencies | Third-party staff | Yes | Hands the account off, often ending the relationship |
The table makes the trade-off plain: every option except an agent or an agency leaves the phone work with your team.
What Does an AI Agent Change for Teams With Three or More Collectors?
Teams with three or more collectors have a coverage problem, not a skills problem. Each person can work a limited number of accounts in a day, so the queue gets triaged by balance and by who complained most recently. The long tail of mid and small invoices gets an email, maybe, and not much else.
An AI agent changes the shape of the day:
Every overdue account gets a follow-up on schedule, not just the top of the aging report.
Collectors start the day with an exception queue instead of a call list: disputes, wrong contacts, payment plan requests.
Account ownership stays intact. Key accounts can be excluded from the agent and kept with a named collector.
Managers see coverage, not just aging, so they know which accounts were actually contacted and what happened.
For more on the capacity side, see how to lower DSO without hiring.
What Are the Risks of AI Collections, and How Do You Manage Them?
Being realistic about risk is part of choosing well.
Tone
A clumsy call can irritate a good customer. Listen to real calls before you sign, and keep control of the script boundaries.
Stale Data
An agent that chases a paid invoice damages trust quickly. Insist on a live connection to your accounting system.
Over-Reach
An agent should never improvise on credits, discounts or contract terms. Make sure those requests escalate.
Visibility
If you cannot read what was said, you cannot manage it. Every interaction should be logged and searchable.
Where Does Abivo Fit?
Abivo is an AI collections agent, not a full accounts receivable suite. Invoicing, payments and the ledger stay in your accounting system. Abivo connects to it, and Kate follows up on overdue invoices by phone, text and email, records every conversation and promise to pay, and hands disputes to your finance team. Outcomes are written back so your books remain the source of truth.
That focus is deliberate. The part of AR that most companies still do by hand is the follow-up, and that is the part Abivo automates. Details are on the product page, and our best AI AR collections software in 2026 roundup covers the wider market.
Which Accounting Systems Does It Connect To?
Abivo connects to QuickBooks, Xero, NetSuite and Sage Intacct, works alongside Chargebee for subscription billing, and accepts a CSV upload for anything else. System-specific guides:
Which Industries Does AI Collections Software Fit?
AI agents work best where there are many overdue invoices, many payables contacts, and customers who respond to a phone call. That describes most field service and project businesses, along with distributors, manufacturers, staffing firms and professional services. Industry guides:
Does AI Collections Software Work in Practice?
Results depend on your ledger, your contact data and your customers. One published example: OFS Group, a fire safety and appliance repair service company, collected $842,518 in four months, with DSO down by more than 30 days. We would still rather play you real calls than promise a number for your business.
Practical Takeaways for Finance Teams Evaluating AI Collections
Decide which problem you have. If nobody has time to do the follow-up, look for an agent, not a smarter reminder tool.
Ask for real calls. A recording of the agent handling a "we never got it" or a dispute tells you more than any demo deck.
Insist on a live connection to your accounting system and on outcomes written back to it.
Draw the line between agent and team before you start: disputes, credits and key accounts stay with people.
Start with a slice of your overdue invoices, review the conversations, then widen coverage.
Frequently Asked Questions
What is the best AI collections software?
The best AI collections software performs the follow-up itself across phone, text and email, connects live to your accounting system, and escalates disputes to people with the full history. Abivo is built that way, with an AI agent named Kate. Ask any vendor to play you real calls before you decide.
Can an AI agent really make collections calls?
Yes. A capable agent places the call, introduces itself on behalf of your company, confirms the invoice, answers routine questions and records a payment date. Abivo's agent hands the call's outcome and transcript to your team when a person is needed.
Will customers know they are talking to AI?
They should. An agent should identify itself honestly as calling on behalf of your company. What matters most to a B2B payables contact is that the call is polite, accurate and quick.
What happens when a customer disputes an invoice?
The agent stops chasing and routes the account to a person. With Abivo, your team receives the dispute with the conversation history attached, so nobody has to start from scratch.
Is an AI collections agent the same as AR automation?
Not quite. AR automation is a broad category covering invoicing, payments and cash application. An AI collections agent focuses on the follow-up step. Abivo focuses there and connects to the accounting system that handles the rest.
Does AI collections software replace collectors?
It replaces the repetitive part of their day, not their judgment. With Abivo, collectors focus on disputes, key accounts and decisions the agent should not make.
If your overdue invoices need more follow-up than your team has hours for, see what an AI collections agent can do. Get Started with Abivo.
