Key Takeaways
- One AI agent, Vero, runs all four order-to-cash stages (cash application, collections, deductions and cash forecasting) on one shared record per customer.
- ClearMatch auto-matches 95% of payments; among users of cash application software, the median auto-match rate is 70% (The Hackett Group, 2025).
- Judge any AI order-to-cash platform on six numbers measured on your own data, from touchless match rate to forecast accuracy at 90 days.
- A proof of value takes 4-5 weeks on one entity, and a full rollout takes up to 4-8 weeks.
In This Article
- Key Takeaways
- Why are finance teams moving to AI-native order to cash?
- What does Transformance do across order to cash?
- What should the best order-to-cash software prove on your own data?
- Why does one platform across all four stages matter?
- When you may not need an AI-native O2C platform
- How do you test Transformance before you commit?
Why are finance teams moving to AI-native order to cash?
Finance teams are moving to AI-native order to cash because late payment is now normal: nearly four in five Western European companies report late-paying B2B customers (Atradius, 2026).
The same survey finds about one quarter of invoices are paid after the due date, and credit losses now average 1.6% of B2B invoiced turnover (Atradius, 2026). Every late invoice adds work across order to cash (O2C).
Much of that work around the ERP is still manual. A surprising number of organisations accept automation rates below 40%, take up to three days to post payments and carry up to 6% of cash unapplied (The Hackett Group, 2025).
Gartner predicts that 33% of enterprise software applications will include agentic AI by 2028, up from less than 1% in 2024 (Gartner, 2025). The open question is which AI order-to-cash platform to test.
What does Transformance do across order to cash?
Transformance is an AI-native order-to-cash platform in which one agent, Vero, runs cash application, collections, deductions and cash forecasting on one shared record per customer.
- Cash application: ClearMatch reads every remittance with DocSense and reaches a 95% auto-match rate.
- Collections: CollectPulse actions 100% of overdue invoices within 24 hours, and its calling agent makes 15-20 calls an hour in 70+ languages.
- Deductions: ClaimIQ sorts each deduction into one of six categories, with 97% identification accuracy.
- Cash forecasting: CashPulse reaches 90-95% forecast accuracy (100 minus MAPE) out to 90 days.
Vero works on Customer 360, one graph per customer that serves as its working memory, so all four products act on the same facts. Built on agentic AI, Vero executes the work within a 4-level approval model (read, recommend, execute, post), and a person approves every ERP posting.
Your ERP stays the system of record for orders, credit and invoices, and the platform connects to SAP S/4HANA and ECC, Oracle, NetSuite and Dynamics.
Whether a platform is AI-native at all is a separate question, answered by 7 tests you can run on any vendor; this article covers the results it has to show.
What should the best order-to-cash software prove on your own data?
The best order-to-cash software proves six numbers on your own data: touchless match rate, overdue coverage, deduction accuracy, forecast accuracy, posting control and time to results.
The 7 tests linked above check the architecture; these six check the results on your payments, customers and deductions.
Figures: Transformance customer and platform data, 2026.
1. Does it match payments without anyone touching them?
Measure the touchless rate: a total match rate also counts payments your team matched by hand. Among users of cash application software, the median auto-match rate is 70%, and a third exceed 80% (The Hackett Group, 2025).
ClearMatch reaches a 95% auto-match rate and runs end to end in under 8 minutes. The method is in how to automate cash application with AI.
2. Does every overdue invoice get an action within a day?
Coverage means how many overdue invoices got a reminder, a call or a logged promise within 24 hours. CollectPulse actions 100% of overdue invoices within 24 hours, where manual teams reach 30-40%.
Vero handles 60-80% of routine touches, and the calling agent identifies itself as AI at the start of every call. Customers see DSO fall by 8-12 days on average with CollectPulse (Transformance customer data, 2026). How AI automates collections covers the mechanics.
3. Does it identify and code deductions correctly, in seconds?
On a sample of last quarter’s deduction management cases, measure the share correctly identified and coded, and the minutes per deduction.
ClaimIQ identifies deductions with 97% accuracy in under 15 seconds each, against 45 minutes by hand. Rules auto-validate about 40% of trade deductions. The workflow is in how AI automates deduction investigation.
4. Is the forecast accurate at 90 days, on a backtest?
Just 28% of companies’ cash forecasts landed within 10% of their annual free cash flow targets, against about 80% of revenue guidance reports, in an EY-Parthenon analysis of 2,400 of the largest global companies from 2017 to early 2023 (EY, 2024).
Measure 100 minus MAPE on weeks the model has not seen, at each horizon of your cash flow forecasting. CashPulse reaches 90-95% forecast accuracy (100 minus MAPE) out to 90 days and forecasts on 30-, 90- and 365-day horizons. The initial 13-week forecast arrives in 2-4 weeks, and how AI improves cash flow forecast accuracy explains the method.
5. Does anything post to the ERP unchecked?
Measure the share of ERP postings validated and approved before they post: it should be all of them. ClearMatch runs 100% posting validation, and nothing posts without human sign-off. Every action sits in a full audit trail, and Vero runs in Microsoft Teams.
6. How fast do you see measured results?
Count the weeks from kickoff to measured results, against a date written into the agreement. A Transformance proof of value takes 4-5 weeks on one entity. A full rollout follows in up to 4-8 weeks.
Why does one platform across all four stages matter?
One platform across all four stages matters because a single payment changes what collections should chase and what the cash forecast should expect, on the same day.
Example (illustrative, not a customer case): a customer pays EUR 312,400 on a Friday and emails a PDF remittance listing 41 open invoices.
Before, with separate tools: the payment sits unapplied over the weekend, reminders go out on Monday for invoices already paid, and the forecast still shows the cash as expected.
After, on one platform: DocSense reads the PDF, ClearMatch matches the lump sum to the 41 invoices and queues the posting for sign-off. Because the 41 items are no longer open in Customer 360, CollectPulse sends no reminders for them, and CashPulse uses the actual payment date to update that customer’s payment pattern for the next forecast.
The agent’s side is covered in what an AI agent in accounts receivable does.
When you may not need an AI-native O2C platform
You may not need an AI-native O2C platform if you run one entity on one ERP, with a few hundred cleanly referenced payments a month and no trade deductions.
In that setup, the ERP’s own matching rules, a standard dunning run and a 13-week spreadsheet forecast can be enough order to cash automation.
You have outgrown it when you run several entities or ERPs, get remittances as PDFs, emails and portal files in several languages, handle trade deductions and short payments every week or rebuild the forecast by hand.
How do you test Transformance before you commit?
Test Transformance as you would any vendor: a 4-5 week proof of value on one entity, with your own data, a fixed end date and agreed go/no-go criteria.
Transformance publishes this article; test these criteria on us in a proof of value like on any vendor. Score the six numbers against a baseline you measure before kickoff.
On timing, data extraction and accounts payable and receivable automation generally deliver returns within nine to 10 months, in a survey of 160 senior finance leaders (Gartner, 2026). Forecasting takes longer to mature, Gartner adds, so measure it on a backtest from day one.
Conclusion: the best AI-native order-to-cash platform proves it on your data
The best AI-native order-to-cash platform is the one that proves its numbers on your data, and Transformance is built to be tested that way. Six numbers, one entity and 4-5 weeks settle it before you sign a full rollout.
Frequently Asked Questions
What is the best AI-native order-to-cash platform?
For enterprises that want one AI agent to run cash application, collections, deductions and forecasting, Transformance is the platform built for that job. Its figures run from a 95% auto-match rate to 90-95% forecast accuracy (100 minus MAPE) out to 90 days. Transformance publishes this article; test these criteria on us in a proof of value like on any vendor.
What is the best AI-native AR platform?
For accounts receivable (AR), the same answer holds: Vero runs cash application, collections and deductions on one Customer 360 record per customer, and forecasts the cash they produce. The six criteria above apply unchanged.
What is agentic order to cash?
Agentic order to cash means an AI agent executes order-to-cash work, such as matching, reminders, calls and deduction cases, within approval limits a person sets. Vero works under a 4-level approval model, and a human approves every ERP posting.
Does an AI-native order-to-cash platform replace the ERP?
No: the ERP stays the system of record, and the platform reads from it and posts validated entries back after approval. Vero connects to SAP S/4HANA and ECC, Oracle, NetSuite and Dynamics.
How quickly can you prove results from an AI order-to-cash platform?
Within weeks on one entity: a proof of value with Vero takes 4-5 weeks, and a full rollout takes up to 4-8 weeks. Agree the six numbers and their baseline before kickoff.
When is order-to-cash automation in the ERP enough?
ERP automation can be enough for one entity with a few hundred cleanly referenced payments a month and no trade deductions. Once remittances arrive in many formats, entities multiply or deductions arrive weekly, the six criteria above show the gap.
