Nearly 37% of the entire B2B payment cycle happens after the due date. Late payment is simply how the system runs, built into how businesses pay each other, and it sits inside trillions of dollars of trade. Some of that is your cash, earned and invoiced, sitting in someone else’s account while your team works out who to chase first.
That decision is harder than it looks. Anyone in collections knows the age of an invoice isn’t a reliable guide to which account matters most; the customer’s history, their risk, the size of the balance and whether they’ve gone quiet all count for more. But one person is often carrying 500 to 1,500 active accounts, and nobody can weigh all of that, one account at a time, every morning. So the aging report wins by default and gets worked oldest-first, because sorting by date is the one approach that stays consistent when you’re triaging at that volume.
The cost of that shows up as effort in the wrong places. Dependable customers who were always going to pay on their next run still get chased, while the accounts actually worth attention, the ones that have gone quiet, receive the same generic reminder as everyone else. When there’s no time to tell accounts apart, the work lands where it’s easiest rather than where it pays off.
What Augmented Collections does
This is the part Aimie takes on. She does the per-account thinking there was never time for, and handles what can run without a person: the reminders and the routine follow-ups, carried out automatically and logged on the account so nothing happens out of sight. What’s left is the work that genuinely needs a person, the calls to make and the accounts to escalate. The morning starts with a short, ranked list of those, rather than the whole ledger.
That is the shift. Your team’s hours go to the conversations and judgement calls only a person can make, spent on the accounts that need real attention to get paid rather than spread evenly across the ledger.
Where the intelligence comes from
The quality of those recommendations comes down to the data behind them. Augmented Collection runs on the Sidetrade Data Lake: more than $8.8 trillion in B2B transactions over the past five years, over a billion invoices, 42 million buyer companies. The data spans businesses of every size, across industries and regions, and because a given customer’s own payment history is usually part of it, the recommendation can be built on how that specific customer behaves rather than a segment they happen to fall into.
Enterprise teams running on that data informed more than five million collection actions in 2025, alongside a 49% improvement in cash collection efficiency. The same engine powers Augmented Collection, and the logic of deciding account by account holds at any size.
Built on firmer ground
Augmented Collection doesn’t arrive on its own. The same release rebuilds a good deal of the platform underneath it: workflows that adapt to how a business actually runs collections, task management with clear ownership, automation that responds to events across an account, and dashboards each user can shape to their own work. Intelligence needs solid ground under it, which is part of why so much was rebuilt now.
Get early access
Augmented Collection is the first step in a larger shift toward AI across order-to-cash, with more of what Aimie can do arriving over the months ahead.
Join the early-access group and you get a direct hand in shaping how it works, close support from our team as you get going, and a daily routine that changes from the first week: the busywork handled, your attention on the accounts that need it.
Ready to chase smarter? Sign up for early access if you’re already using ezyCollect.
Not an ezyCollect user yet? Talk to our team to learn more.
Source: Sidetrade Data Lake, 2025 (sidetrade.com/news/sidetrade-data-lake-2025). Performance figures reflect Sidetrade enterprise results.
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