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Using Artificial Intelligence

From theory to SAP practice: Increasing efficiency, minimizing risks

The requirements for tax departments are rising while resources often remain scarce. Artificial intelligence (AI) is not an end in itself here, but a powerful tool to raise your compliance processes to a new level. The kallman team will show you how to integrate AI technologies into your VAT processes in a secure and value-adding manner.

Strategic goals of AI usage

  • Preventive risk minimization: We consistently shift tax control to the beginning of the value chain. Through AI-supported validation, we identify potential compliance conflicts at the very moment the data is created – long before they become relevant for reporting or burden the system.
  • Efficiency increase: We automate complex decision-making processes and routine tasks. In this way, we relieve the scarce resources in your tax department and create space for processing highly complex individual cases and providing strategic advice to the business.

Practical application areas across the entire tax cycle

We support you in the implementation of AI solutions in all relevant phases:

  • Transactional level: Intelligent support for tax determination in complex purchasing and sales processes.
  • Reporting & filing: Automated plausibility checks of the VAT return and EC Sales List to accelerate closing processes.
  • Intelligent monitoring: Use of AI-supported analyses directly in the ERP system to recognize patterns in mass data that would remain invisible manually.
  • Change management & strategy: Automatic analysis of the tax consequences in the event of changes to your business model (for example, new supply chains or foreign registrations).
  • Horizon scanning: Automated monitoring of legal changes worldwide, filtered according to the relevance for your specific company profile.

AI power directly in the ERP system and in projects

Use AI where your data is located:

  • Master data optimization: AI-supported cleaning and preparation of master data (for example, materials, customers, and vendors).
  • Intelligent mapping: Efficient derivation of tax indicators directly from material descriptions or unstructured texts.
  • Migration turbo: Use of AI in S/4HANA migration projects for automated data validation and mapping support.

AI is not a replacement for tax expertise – it is the lever that makes your specialist knowledge scalable.