Debt collection automation – what can automated receivables recovery look like?

Why is debt collection often problematic for SMEs?

In the SME sector, debt collection is often not a separate, structured process. It usually just ends up on a to-do list handled by finance or accounting staff. The problem is that these employees have dozens of other responsibilities – issuing invoices, managing outgoing payments, preparing settlements, and generating reports. As a result, debt collection is just one of many tasks and can easily fall by the wayside. There is also the issue of motivation; internal finance departments are rarely held directly accountable for the success rate of recovered debts. This differs from debt collection agencies, which often operate on a performance-based fee model. In practice, this means that in a small or medium-sized business, making a call to a contractor or sending another reminder can easily lose out to tasks that seem more urgent or easier to complete at the moment. Unfortunately, constantly chasing clients for payments is not exactly the most pleasant part of the job.

This is precisely where debt collection automation comes in. Instead of relying on whether a specific employee remembers a case and has the time to handle it, you can build a process that tracks deadlines automatically and executes pre-defined steps. For example, it can check for overdue invoices, send reminders, follow up after a set period, create tasks for employees, or escalate more difficult cases for further handling. A well-designed automated collection system works even when the responsible employee is on vacation, has a day off, or is busy with other duties. Properly implemented automation follows established rules and never misses a scheduled step. Humans can still make decisions in more complex cases, but they no longer need to manually track every invoice and every deadline.

As a result, a company doesn't have to fully outsource its pre-legal collection process or build a separate team just to consistently carry out basic tasks. Automation can take over the most repetitive parts of the process, allowing employees to step in only when they are truly needed. Consequently, the process becomes more regular, predictable, and less dependent on individual staff members, which can lead to higher debt recovery rates.

Automating pre-legal collections – where to start with implementation

As with automating processes in other areas of the company, it is worth starting not by sending automatic SMS or emails, but by organizing your data. The foundation should be a single source of truth for all information related to collections – primarily customer data, issued invoices, outstanding balances, payment deadlines, and contact history.

This does not immediately mean you need to implement a complex system. Even if a company does not want to launch more advanced automations at the start, such as automatically generating payment reminders, sending SMS messages, or running multi-stage follow-up sequences, simply gathering information in one place can significantly improve the work of the finance department.

In practice, the data needed for collections is usually scattered across several systems. Invoice information is in the accounting software, customer contact details are in the CRM or ERP system, messages are in email inboxes, and payment confirmations are in the banking system. An employee who wants to check a specific customer's status must therefore switch between several tools. The first step can be to integrate them and create a simple dashboard to support the collections process. In such a place, an employee handling collections can:

• quickly review the current list of debtors and the amounts to be recovered,
• check which invoices have overdue payments and how many days past due they are,
• see the history of previous contacts with the contractor,
• manually send an SMS or email without switching to another system,
• check if the customer has made the payment,
• see what actions should be taken next.

Even this stage can provide significant time savings for administrative and finance staff, as it eliminates much of the manual data searching, switching between systems, and tracking deadlines in Excel or personal calendars. Only on such a prepared foundation is it worth gradually automating collections management. You can add further automation modules to the dashboard – for example, an automatic reminder a few days before the payment deadline, a message after it has passed, a follow-up contact after a certain number of days, or creating a task for an employee if previous actions have not yielded results.

This approach has another advantage: the company does not have to automate the entire process from day one.

Implementing pre-legal collections automation can be done in stages. First, we organize the data and give employees one convenient place to work, then we automate the simplest and most repetitive tasks, and only later do we build more complex scenarios that react to the behavior of a specific customer.

An example of automated debt recovery

In practice, the collections process after automation might look like this:

• after the payment deadline passes, the system identifies customers for whom collection actions should be initiated,
• the customer receives the first two emails at specified intervals,
• if the customer still does not pay, the system can send another reminder or create a task for an employee to contact the customer by phone,
• if the invoice remains unpaid, the system can prepare a pre-legal payment demand,
• the final step may be to refer the case to an employee responsible for preparing documents for further, more aggressive debt collection.

This is, of course, just one possible scenario. Every company’s debt collection process looks a bit different, so you don’t have to implement the entire solution at once. It is worth starting by automating the most repetitive and time-consuming tasks, and adding subsequent elements as the process develops. We discuss other improvements worth implementing in debt collection in the next paragraph.

What else is worth automating in the debt collection process?

Once the basic process is running smoothly, you can expand it with additional elements that reduce manual work and help you respond to arrears faster.

Automatic interest calculation

In more advanced debt recovery processes, automation can also calculate interest according to set rules and inform customers of their current debt balance. This saves employees from having to perform manual calculations every time.

Suspending work in specific departments

Debt collection can also affect other areas of the company. At a certain stage of the process, the system can, for example, send a notification to production, customer service, or sales, informing them that further work for a given contractor must be suspended.

Revoking client access due to payment delays

For digital products and services, it is also possible to automatically restrict access to selected features, block an account, or notify the employee responsible for managing permissions.

For example, a marketing agency can, after a certain period, trigger a notification to revoke users' access to additional tools, panels, or resources.

AI solutions for activity monitoring

AI can also be integrated into debt management systems. In more advanced AI automation systems it can generate automatic summaries of customer interactions, analyze case history, and compile key insights for the employee.

This allows the person taking over the case to quickly see what happened previously, what actions have been taken, and at what stage the debt collection process currently stands.

Debt collection process automation – key takeaways

Remember that you don’t have to improve the entire debt collection process at once – it is often best to start with the most time-consuming tasks and add further elements gradually. It is also worth looking at this area more broadly and integrating it with other company processes, such as accounting, sales, or reporting. This creates a consistent flow of information, and employees do not have to manually transfer data between systems. At Sagiton Automation, we implement financial process automation and help companies choose solutions tailored to their actual needs. If you would like to see what can be improved in your company, please feel free to contact us.