Collections strategy, DSO management, and applying AI to accounts receivable. Written by finance operations practitioners in Tokyo.
The traditional AR follow-up playbook, scheduled batch emails, manual priority lists, generalized templates, is reaching its limit as payment delays lengthen and finance headcount stays flat.
Sending more reminders does not mean collecting more money. The variable that matters most is when each reminder lands relative to how that specific customer behaves.
The message your AR team sends on day 7 versus day 45 of an overdue invoice should not sound the same. Here is a practical tone-and-content framework organized by aging bucket.
Automation in AR collections should not mean sending a robot to handle your most sensitive customer relationships. The goal is to remove the low-judgment tasks so your team can handle the high-judgment ones.
AI in accounts receivable is a specific set of capabilities, timing prediction, channel selection, message generation, not a general replacement for your collections process. Here is what it does and does not do.
Most finance teams spend three to five hours per week on manual follow-up tasks that could be automated. This guide walks through the decisions you need to make before turning automation on.
Every payer has a pattern, the day of week they process payments, the urgency level that gets a response, the channel they actually check. Your follow-up timing should reflect that pattern, not a generic schedule.
There is no single best channel for AR collections. The right answer depends on the payer, the amount, the relationship, and how overdue the invoice is. Here is how to think about the channel decision.
High DSO is the number you track. But by the time DSO rises, several upstream behaviors in your collections process have been costing you cash flow for months. Here are the early signals to look for.
Days Sales Outstanding is the most-cited AR metric. But a DSO number alone tells you very little about why your collections are slow or which invoices to prioritize. Here is how to use it correctly.
DSO gets all the attention. But the metrics that tell you where your AR process is actually breaking, collection effectiveness index, dispute rate by customer segment, follow-up response rate, are rarely on the standard dashboard.
A company with three business units and a shared AR function does not have three times the workload. It has substantially more, because customer relationships, invoice numbering, and collections escalation paths multiply in ways that manual processes cannot keep up with.
The cost of manual AR collections is not just the hours your team spends on follow-up. It includes the invoices that slip through, the customer relationships damaged by mistimed escalation, and the cash that sits outstanding because no one got to it this week.
A collections policy is not a script. It is a set of decisions about when to escalate, which channel to use at which stage, how to treat different customer segments differently, and when to involve a third party. Most finance teams operate without one.
Disputes are the AR team's biggest time sink. A single disputed invoice can consume more team hours than a dozen clean collections. The root cause is almost never the invoice itself, it is upstream in how orders were documented and communicated.
When you have 80 open invoices and capacity to actively work 20, the way you choose those 20 determines your recovery rate for the month. Most finance teams default to sorting by amount or age. There is a better framework.
A busy AR team is not the same as a productive AR team. Chasing means volume, emails sent, calls made, escalations filed. Collecting means recovery, cash received, disputes resolved, aging buckets cleared.
Most finance teams generate an AR aging report every week but only look at the 90+ day bucket. The useful signal is distributed across all aging columns and in the patterns that repeat month after month.
Request a demo and we will show AccordX running on your actual AR data. See the timing, channel, and message recommendations for your current overdue accounts.
