Take advantage of accounting automation and software robotics. Faster, more accurate, and more cost-effective financial management starts here.
Automated data processing: Purchase and sales invoices, as well as bank statements, are transferred from one system to another without manual intervention.
Robotic reconciliation of routine tasks: The reconciliation of the general ledger, accounts receivable and internal accounts can be almost entirely automated.
Tax reporting and regulatory filings: Robotics ensures that standardised filings are submitted on time.
Support for analytics and forecasting: Business analytics and forecasting models improve significantly when data is accurate and up to date.
Take a step towards automated financial management
The modern finance manager's toolbox includes a number of tools that can make everyday routines easier. One of the most important tasks a CFO should be concerned with is ensuring that the company's financial management processes are as efficient and secure as possible.
A well-built automation roadmap shows you which finance processes to start with. Learn how to progress in a controlled way and get quick wins early.
When it comes to financial automation, one of the biggest challenges isn't the technology, since there are plenty of tools readily available. The real issue is knowing where to begin. Companies often operate under tight deadlines, juggling fragmented data, manual workflows, expensive systems and expert time wasted on repetitive tasks.
Manual work is prone to human error, such as incorrect data entry and missing information. Automation ensures the accuracy of financial data and reduces risks.
Automating processes, such as processing purchase invoices and collecting data from various systems, significantly frees up work time and streamlines operations.
Automation enables the management of larger data volumes and more complex processes without a proportional increase in resource requirements.
Up-to-date and error-free financial data supports better reporting and decision-making. Integrating data into BI tools, for example, provides company leadership with a real-time view of business operations at all times.
Initial situation: A. Ahlström wanted to improve its purchase invoice process, but lacked a clear, comprehensive picture of the process’s level of automation and the amount of manual work involved. The finance team needed greater visibility and concrete areas for improvement to support data-driven decision-making.
Tools and implementation: Greenstep’s experts implemented a process mining tool and BI Book, which were used to model and analyze the purchase invoice process and identify areas for improvement. KPIs were defined collaboratively, and opportunities for automation were highlighted in a clear final report.
Results: The level of automation increased, manual steps were reduced, and invoice processing became significantly more streamlined. The finance team now saves time and can monitor progress in real time using BI Book. The project yielded multiple benefits, both in terms of time and efficiency.
Would you like to see similar benefits?
