Automation in controlling

Automation in controlling increases efficiency, avoids unnecessary costs and reduces errors at the same time.

According to a study by PwC, the most common area of application for robotic process automation is in the area of controlling (63%).

PwC, PwC study on robotic process automation, June 2020.

Optimize your finances through automation

Automate 20% of non-value-adding activities

by automating recurring and rule-based tasks, such as invoice processing.

Reduce the time spent on control processes to 70 %

by automating the review of receipts, categorization of expenses and preparation of tax returns.

Increase employee satisfaction by 80%

by allowing them to focus on more creative and complex tasks.

Possible applications of RPA in controlling

Data maintenance in databases

RPA can extract data from various sources (e.g. Excel, PDF or email), transform it and load it into the database automatically. This means that data extraction and updating does not require any manual intervention.

Extract attachments

RPA can be used to automatically extract email attachments, such as invoices or reports, and save them to the relevant systems or folders. This saves time on manual file management.

Master data update/integration

RPA can help to update and integrate master data from different sources to ensure that company systems are always up to date. This improves data accuracy and consistency.

Duplicate check in data management

RPA can be used to identify and clean up duplicates in databases. This improves data quality and prevents problems that can arise from duplicate data records.

Accounts payable processing

RPA can streamline the invoice verification and payment process, resulting in on-time payments and better supplier relationships.

Forecasting and budgeting

RPA can help create financial forecasts and budgets by analyzing historical data and creating models to predict future financial results.

Compilation of reports

RPA can support the automation of reports and reporting by creating reports and sending them to stakeholders in the desired formats.

Transform traditional controlling into an efficient, data-driven and future-oriented system through automation

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