Intelligent finance and controlling processes through AI
With AI, you increase transparency, speed, and reliability in finance and controlling. Routines are automated, planning becomes data-driven, and risks are identified earlier. We integrate AI seamlessly into your ERP/BI landscape (e.g. SAP, Microsoft Dynamics, Power BI) – individually tailored to your company.
Finance departments today are under enormous pressure: increasing reporting requirements, volatile markets, and high expectations for data quality and speed.
AI helps to meet these demands – not as a replacement, but as a strategic partner of controlling.
Through intelligent automation, teams gain time for value-adding analyses instead of routine tasks. Decisions are based on real-time data, deviations are detected early, and scenarios can be dynamically simulated.
This creates a new understanding of roles: from number manager to data-driven business partner.
AI automatically recognizes invoices, delivery notes, and contracts, extracts relevant content, and checks them for completeness and plausibility.
This eliminates a large part of manual data entry and verification. The AI suggests account assignments, matches amounts with purchase orders, and forwards the documents to the appropriate approval level. As a result, incoming invoices in SAP or Dynamics are automatically pre-accounted, and the entire approval process is shortened from several days to just a few hours.
AI automatically recognizes invoices, delivery notes, and contracts, extracts relevant content, and checks them for completeness and plausibility.
This eliminates a large part of manual data entry and verification. The AI suggests account assignments, matches amounts with purchase orders, and forwards the documents to the appropriate approval level. As a result, incoming invoices in SAP or Dynamics are automatically pre-accounted, and the entire approval process is shortened from several days to just a few hours.
AI-supported planning models enable dynamic and continuously updated financial planning. They link actual data with seasonal developments, market trends, or external factors such as raw material prices. This allows realistic scenarios for revenue, costs, or margins to be simulated and directly reflected in the profit and loss statement.
This enables a company to analyze within minutes how changes in prices or sales volumes affect cash flow and results, and to take targeted countermeasures.
AI-supported planning models enable dynamic and continuously updated financial planning. They link actual data with seasonal developments, market trends, or external factors such as raw material prices. This allows realistic scenarios for revenue, costs, or margins to be simulated and directly reflected in the profit and loss statement.
This enables a company to analyze within minutes how changes in prices or sales volumes affect cash flow and results, and to take targeted countermeasures.
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