flatexDEGIRO: Accelerating finance performance and increasing transparency with an AI-enabled ERP
Keeping finance in step with business growth
With millions of customers, the rapid expansion of online broker flatexDEGIRO SE demanded faster, more transparent, and compliant finance operations. By adopting SAP Cloud ERP applications with AI capabilities and embedded Joule Agents, it improved performance, automation, and data transparency to enable faster, more-informed decisions.
| Industry | Region | Company Size | Partner |
| Financial services | Frankfurt am Main, Germany | 1,200 employees | becomeCloud GmbH & Co. KG |
transactions processed annually, requiring scalable performance.
customer accounts supported with improved data transparency.
Head of Group Finance and Regulatory Reporting, flatexDEGIRO SE
| Industry | Region | Company Size | Partner |
| Financial services | Frankfurt am Main, Germany | 1,200 employees | becomeCloud GmbH & Co. KG |
transactions processed annually, requiring scalable performance.
customer accounts supported with improved data transparency.
Head of Group Finance and Regulatory Reporting, flatexDEGIRO SE
Aligning finance processes with rapid growth
FlatexDEGIRO is a fast-growing mid-sized European online broker that provides digital investment and trading services to millions of private investors. Operating across multiple markets, the company handles high volumes of financial transactions and must meet strict regulatory requirements in everything it does.
Every transaction at flatexDEGIRO represents a customer investment decision, making accuracy, speed, and compliance critical. Finance plays a key role in helping ensure that growth is transparent, controlled, and aligned with regulatory expectations.
As the business expanded, finance processes began to lag behind. Workflows such as supplier invoice processing were highly manual and time-consuming, slowing operations. At the same time, system performance limitations reduced efficiency and restricted innovation.
In addition, limitations in data accessibility meant that finance teams sometimes required additional time to retrieve and analyze information, affecting the overall efficiency of reporting processes.
Employees felt the impact directly. Manual work and slow systems reduced efficiency and limited their ability to focus on analysis. flatexDEGIRO needed a scalable solution to improve performance, increase transparency, and strengthen compliance.
Executive Director, Head of Group Accounting and Controlling, flatexDEGIRO SE
Standardizing finance with SAP Cloud ERP and AI capabilities
To address these challenges, flatexDEGIRO implemented SAP Cloud ERP to establish a standardized finance foundation. The goal was to take a clean core approach that focused on standardizing finance processes using proven best practices. The company also aimed to achieve scalability without adding system complexity.
The solution streamlined finance processes and enabled automation in areas such as supplier invoice processing and fixed asset creation, reducing manual effort and improving accuracy. At the same time, it improved system performance and enabled faster access to financial data. Finance teams now benefit from improved reporting speed and reliability.
AI capabilities embedded in SAP Cloud ERP and Joule Agents play an increasingly important role in automating operational processes and improving usability. For example, this is achieved through intelligent invoice processing, smart summarization of financial data, and natural language search and filtering.
Building on this foundation, the company is evolving its AI capabilities and preparing for more-advanced scenarios across finance.
Head of Group Finance and Regulatory Reporting, flatexDEGIRO SE
Improving performance, transparency, and finance decision-making
flatexDEGIRO achieved improvements in both operational performance and reporting.
System performance improved from day one, enabling faster execution of finance processes. Automation reduced manual workloads, particularly in transactional tasks such as invoice processing.
Improved access to financial data also transformed reporting. Finance teams can now move from delayed reporting to real-time insights, improving responsiveness to business and regulatory requirements.
An example is KPI and reporting adjustments, such as adding financial performance indicators or adapting dashboards for management reporting. Tasks that previously took hours or days can now be completed in minutes, significantly improving responsiveness and supporting faster decisions.
This combination of increased performance, transparency, automation, and AI support allows finance to move from being a reactive function toward real-time steering of business performance while helping ensure compliance through standardized processes. It also marks a shift in how finance systems are used, moving from executing transactions to interacting with data through more intuitive, AI-supported flows.
Executive Director, Head of Group Accounting and Controlling, flatexDEGIRO SE
Exploring AI capabilities to transform finance operations
Looking ahead, flatexDEGIRO plans to expand AI capabilities across finance and procurement, with a focus on building a scalable, practical, and AI-enabled finance organization.
The company is exploring more AI scenarios, including automated explanations of financial variances, anomaly detection in journal entries, and AI-supported decision-making for finance leaders. It’s also exploring the idea of an AI-assisted financial consolidation via a multi-agent approach.
In the long term, these developments are expected to fundamentally change how users at flatexDEGIRO interact with finance systems—moving from transactional processing toward continuous, AI-supported insight generation.
Featured partner
becomeCloud GmbH & Co. KG is an SAP consulting partner specializing in cloud ERP implementations and the transformation of finance and business processes in regulated and fast-growing environments.
In this project, becomeCloud supported flatexDEGIRO in implementing SAP Cloud ERP, contributing expertise in public cloud deployment and standardized system design and playing a key role in shaping and deploying a clean core architecture.