AI—But How? Tailored Solutions for Accounting

Understanding AI: The Basics of Modern Enterprise AI

• Why generative AI is more than just a chatbot.
• How large language models process information and generate responses.
• Neural networks, embeddings, and the development of AI knowledge.
• Enterprise data, data lakes, and AI readiness as the foundation for successful AI projects.
• RAG systems as a bridge between AI and enterprise knowledge.

Applying AI: Agents and Corporate Data in Practice

• The Jaicob® training as a practical example of a modern AI application.

• Understand documents, extract data, and automate processes.

• Automatically prepare financial data for business plans, company valuations, and forecasts.

• Business insights, analyses, and forecasts—such as calculating liquidity plans or predicting incoming payments—through interaction with AI.

• Control applications using natural language and delegate tasks.

Outlook: AI in the Accounting of the Future

• The Future of Document Processing and Accounting with AI.

• How AI Is Changing the Work of Tax Advisors and Auditors.

• New Roles and Ways of Working in the Age of AI Agents.

• AI as a competitive factor and driver of economic transformation.

• The impact of AI on society and humanity.

Legal and Technical Aspects

• Legal framework and compliance requirements.

• Technical requirements and limitations of current AI systems.

• Platforms, tools, and decision-making aids for businesses.