Tax accounting involves the tax treatment and recognition of relevant matters in financial reporting. Tax reporting involves the preparation, processing, and reporting of tax-related information. These two areas are closely linked and pose significant challenges for companies, particularly in complex data and system environments.

First, existing processes are evaluated through a fit-gap analysis. Based on this, requirements are defined and a suitable solution is designed. This is followed by software selection, integration, data migration, and system configuration. After system testing and quality assurance, employees receive training. During ongoing operations, support, maintenance, and continuous improvements ensure sustainable use. Finally, the solution is integrated into downstream processes, particularly income tax reporting, including Pillar 2 compliance.

Digitization can help reduce manual processes, improve data quality and transparency, and standardize and automate recurring process steps.

An upgrade can help companies streamline processes, process data more consistently, reduce manual tasks, and improve the traceability of tax processes.

Depending on the system environment and process, tasks such as data collection, data preparation, validations, calculations, reconciliations, documentation, and reporting can be automated or partially automated.

ERP systems often serve as a central database for tax-related processes. Proper integration can help automate the transfer of tax-relevant data and reduce data silos between financial, tax, and reporting processes.

An important approach is the standardization and automation of data flows, supplemented by defined validation, control, and reconciliation processes.

AI can be used, for example, to analyze large amounts of data, identify anomalies, classify information, or support repetitive tasks. The specific benefits depend on the process, data quality, system landscape, and regulatory requirements.

An upgrade may be particularly relevant when processes are heavily manual, when different systems and data sources need to be integrated, when reporting requirements are increasing, or when transparency and standardization need to be improved.

A typical approach involves analyzing existing processes and systems, identifying opportunities for optimization and automation, designing the target architecture, and subsequently implementing and refining it.

Whether existing systems can continue to be used, expanded, or supplemented with new solutions depends on the company's specific system architecture, processes, and requirements.