Key Takeaways
- CollectPulse from Transformance actions 100% of overdue invoices within 24 hours; manual teams reach 30-40%.
- Test AI collections software on seven criteria you can measure on your own ledger, starting with coverage and execution.
- The CollectPulse calling agent makes 15-20 calls an hour in 70+ languages, against 15-20 calls a day for a human collector.
- DSO at Europe’s 1,000 largest nonfinancial companies rose to 48.5 days, with an 18-day gap between median and top performers (The Hackett Group, 2025).
- Run a 4-5 week proof of value on one entity and judge the result against your own baseline.
In This Article
- Key Takeaways
- What should AI collections software do for a B2B finance team?
- What should you look for in AI collections software?
- What does an AI calling agent add to B2B collections?
- How do you test AI collections software in a proof of value?
- When may you not need AI collections software?
What should AI collections software do for a B2B finance team?
AI collections software runs the follow-up on overdue B2B invoices: it decides which accounts to contact, sends the emails, makes the calls and records every outcome.
It works inside your own AR process, and it is neither a collection agency nor a consumer debt recovery tool.
AI collections software such as CollectPulse from Transformance runs this loop with an AI agent, Vero, that works on Customer 360: one graph per customer that serves as its working memory. For the step-by-step mechanics, see how AI automates collections.
More than 12% of revenues are now received late in Europe, above the level businesses consider sustainable, in a survey of 8,385 businesses across 20 European countries (Intrum, 2026). Once B2B invoices are overdue, settlement averages around one month beyond the due date in Western Europe (Atradius, 2026).
DSO at Europe’s 1,000 largest nonfinancial companies rose 1% to 48.5 days, with an 18-day gap between median and top performers (The Hackett Group, 2025).
The buying question is now which software does the work, and how to prove it on your own ledger.
What should you look for in AI collections software?
Look for seven things you can measure on your own ledger: coverage, execution, calling capacity, promise-to-pay capture, dispute handoff, control and time to value on your ERP.
An AI collections agent should do the work that collections management software leaves on a worklist. Each criterion below has a test and the CollectPulse figure to check it against.
- Coverage: every overdue invoice gets an action within 24 hours.
- Execution: the AI collections agent sends, calls and records, rather than handing a collector a worklist.
- Calling capacity: calls an hour, in your customers’ languages, with the agent identifying itself as AI.
- Promise-to-pay capture: each promise is logged on the invoice and followed up when it is missed.
- Dispute handoff: a disputed amount leaves the dunning cadence and goes to deductions with its evidence.
- Control: approval levels you set and an audit trail of every action.
- Time to value: a proof of value on one entity of your own ERP data, in weeks.
1. Coverage within 24 hours
Coverage is the share of overdue invoices that get an action within a day of falling due. On one entity, count for four weeks the overdue invoices that got an email, call or routed task within 24 hours.
CollectPulse actions 100% of overdue invoices within 24 hours, while manual collections teams action 30-40% (Transformance customer data, 2026).
2. Execution, not a worklist
An AI collections agent completes routine touches itself, inside your policy, and a collector sees what needs judgement.
Test the share of routine touches completed without a collector, and how many a collector had to correct. Vero, the agent in CollectPulse, handles 60-80% of routine collection touches.
3. Calling capacity in your customers’ languages
Test the calls placed per hour, the languages covered against your customer list, and the share of calls with a recorded outcome.
The Transformance calling agent makes 15-20 calls an hour; a human collector makes 15-20 a day. It calls in 70+ languages.
4. Promise-to-pay capture
Each promise to pay should sit on the invoice, with a follow-up when the date is missed.
Test promises recorded per 100 contacted invoices against your baseline, and the share followed up the day after a missed date. CollectPulse captures promises to pay at 3x the manual rate (Transformance customer data, 2026).
5. Disputes handed to deductions
Good dispute management starts in collections: a disputed amount should leave the dunning cadence and reach deductions with its evidence.
Take ten disputed invoices from last quarter: count the days reminders kept going on the disputed amount, and check whether each case arrived with its evidence. In CollectPulse, a dispute found by email or call stops dunning on the disputed amount and goes to ClaimIQ, which identifies deductions with 97% accuracy and classifies them into six categories. More in the guide to claims management software.
6. Control: approval levels and an audit trail
Ask which actions the agent may take at each level, who approves payment plans, and whether every message, call and status change sits in an audit trail you can export.
Vero works under a four-level approval model (read, recommend, execute, post) with a human in the loop for ERP postings, and every action is logged. Keep strategic accounts, payment plans and credit holds with your people.
7. Time to value on your own ERP
Run a proof of value on one entity, with your ERP data and your customers, and a go or no-go decision at the end.
CollectPulse connects to SAP S/4HANA and ECC, Oracle, NetSuite and Dynamics, and the proof of value takes 4-5 weeks on one entity.
What does an AI calling agent add to B2B collections?
An AI calling agent adds phone capacity: it calls the overdue accounts no collector reaches, in the customer’s language, and logs each outcome against the invoice. For accounts that have stopped answering altogether, see what to do when a B2B customer goes silent on overdue invoices.
Illustrative example, before and after:
- Before: one collector at 15-20 calls a day makes 75-100 calls in a five-day week.
- After: an AI calling agent at 15-20 calls an hour adds 120-160 calls in one eight-hour calling day.
The long tail of smaller overdue invoices gets a call too, not only the large balances.
The calling agent speaks 70+ languages and identifies itself as AI at the start of every call. After the call, a promise goes on the invoice, a dispute goes to deductions, and anything outside policy goes to a person. The AI calling agent guide for accounts receivable walks through a full call. If the customer says the invoice never arrived, here is what to check before you resend it.
How do you test AI collections software in a proof of value?
Test AI collections software in a proof of value on one entity: measure your baseline before you start, run the agent for four to five weeks, then score each criterion.
Gartner found that 63% of finance organizations said AI implementation was slower than expected in 2025, and recommends measuring AI by realized value rather than deployment volume (Gartner, 2026). Gartner also predicts over 40% of agentic AI projects will be canceled by the end of 2027, because of escalating costs, unclear business value or inadequate risk controls (Gartner, 2025).
A Transformance proof of value takes 4-5 weeks on one entity, and a full rollout takes up to 4-8 weeks.
For metric definitions, see collections KPIs; for platform-level checks, run the seven tests of an AI-native order-to-cash platform.
Transformance publishes this article; test these criteria on us in a proof of value like on any vendor.
When may you not need AI collections software?
You may not need AI collections software if you have few customers, one language, low dispute rates and a team that already reaches every overdue invoice on time.
For a single entity with a short customer list and clean payment behaviour, the dunning run in your ERP may be enough. That is B2B collections automation at its simplest, and it works.
The case for an agent grows with volume, entities, languages and disputes. A collection agency is a different decision: it handles debts you have given up chasing yourself. See B2B collections software vs services for where that line sits.
Conclusion: the best AI collections software is the one that passes your test
The right AI collections software is the one whose numbers hold up on your own ledger. For B2B teams that want an agent doing the work, CollectPulse is built for it, with 100% of overdue invoices actioned within 24 hours. Measure your baseline, run the proof of value and let the scorecard decide.
Frequently Asked Questions
What is the best AI collections software for B2B?
For B2B finance teams that want an AI agent to do the collections work, Transformance CollectPulse is built for it: it actions 100% of overdue invoices within 24 hours and its calling agent works in 70+ languages. Transformance publishes this article; test these criteria on us in a proof of value like on any vendor.
What should you look for in AI collections software?
Look for 24-hour coverage of every overdue invoice, execution of routine touches, calling capacity in your customers’ languages, promise-to-pay capture, dispute handoff, approval levels and a proof of value on your ERP.
Can an AI agent make collection calls in other languages?
Yes, the CollectPulse calling agent calls in 70+ languages and makes 15-20 calls an hour, against 15-20 a day for a human collector. Every call opens with the agent identifying itself as AI.
Is AI collections software the same as a collection agency?
No, AI collections software runs the follow-up on your own overdue B2B invoices inside your AR process, while a collection agency takes over debts you have stopped chasing yourself.
Which ERPs does AI collections software need to work with?
AI collections software needs to read open items and write outcomes back to the ERP you run. CollectPulse connects to SAP S/4HANA and ECC, Oracle, NetSuite and Dynamics.
What results should you expect from AI collections software?
CollectPulse customers see DSO fall by 8-12 days on average, with Vero handling 60-80% of routine touches (Transformance customer data, 2026). The proof of value takes 4-5 weeks on one entity.
