Our client is a growing manufacturing company that produces industrial machinery and replacement parts for a variety of sectors, including construction, logistics, and heavy engineering. They operate across multiple regions and deal with thousands of customers and vendors, many of whom are on credit terms.
Over the years, as business grew, their finance operations began to show signs of strain. What was once a manageable invoicing process gradually turned into a time-consuming routine.
And although SAP managed their core systems, their finance team still had to log in, pull reports, verify payments, and manually follow up with customers on overdue invoices. What should have been a routine task was consuming several days each week—and still left room for error.
At first glance, the issue seemed simple: unpaid invoices were slipping through the cracks. But a closer look revealed deeper, systemic problems including manual reporting, time-consuming validations, and inconsistent follow-up routines. A few major challenges we discovered are listed below.
Each week, their team logged into SAP, exported multiple reports, compared them manually, and matched payments line by line. It took two to three full days just to get a clear picture of what was overdue.
Given how repetitive and detail-heavy the task was, they often missed entries or made mismatches, especially under tight deadlines. Therefore, their follow-ups weren’t always accurate, and in some cases, no reminder was sent.
Emails were drafted manually, and they had to be customized with invoice details for each customer, therefore, reminders often went out late. This impacted how quickly customers responded and ultimately slowed down cash collection.
The whole process depended on a few people who had deep familiarity with both the reports and the customers. If someone was out or overloaded, the process would stall. It wasn’t scalable or sustainable.
The finance team had already tried a few workarounds—Excel trackers, shared folders, and template emails—but nothing stuck. Therefore, they needed a more dependable approach that would take the pressure off the team and ensure reminders went out regularly and accurately.
When we started working with the client, we didn’t pitch a tool first. Instead, we spent time with the team to walk through what they were doing today, step by step.
We asked questions like:
This helped us understand both the technical steps and the judgment calls the team was making. It also showed us where automation could genuinely help—and where human input was still needed.
We used Power Automate Desktop to build a bot that:
We ran multiple rounds of testing with real customer data to make sure the automation was matching the finance team’s manual checks. During User Acceptance Testing (UAT), we simulated edge cases—like late partial payments or mismatched currencies—to see how the bot handled them.
We rolled it out in phases, starting with a few customer groups, and expanding once the team was confident in the results.
We also trained the internal finance ops lead on how to update templates or adjust schedules without needing tech support.
Manufacturing
Power Automate Desktop, Robotic Process Automation (RPA)
By automating report extraction, validation, and follow-up emails, the finance team reclaimed up to three full days every week. What was once a slow, manual routine now running in the background—freeing the team from repetitive tasks and last-minute scrambles.
Manual matching of invoices and payments often led to inconsistencies, missed entries, or follow-ups sent to the wrong customers. With automation in place, data validation became systematic and consistent—bringing accuracy levels up and giving the team confidence in what was being sent out.
Because reminders were now timely, clear, and included the right details from the start, customers had fewer questions and were quicker to act. This led to a noticeable improvement in collections and reduced the back-and-forth often caused by unclear or delayed emails.
With the manual load off their plate, the team could shift their focus to higher-value activities—like analyzing customer payment trends, refining credit policies, or proactively managing risk. This shift helped elevate the role of finance from task execution to business partnering.
The automated workflow ran on a schedule, handled exceptions, and didn’t rely on any single person to function. As the business grew, the same setup could support more volume without needing to hire additional staff or rework the process—making it a long-term, future-proof solution.
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