Digital transformation and the application of artificial intelligence in business: laws, regulations, economic impact and outlook
Integrate, analyze, and retrieve essential regulatory data with our advanced AI-driven platform.
Innovative Data Solutions
Transforming regulatory compliance through advanced data integration and AI-driven insights for businesses worldwide.


Comprehensive Data Solutions
Integrating data for compliance, regulations, and economic insights to enhance business decision-making.
Ontology Development Services
Creating knowledge ontologies for regulatory compliance and business processes to streamline operations.
Advanced Retrieval Systems
Utilizing vector retrieval for embedding legal texts and economic data into actionable insights.
GPT-4 Fine-Tuning
Fine-tuning models on expert-labeled data for precise compliance Q&A and economic queries.
Data Integration
Streamlining compliance through multi-source data aggregation and analysis.
Ontology Development
Creating knowledge structures for regulatory and compliance needs.
Vector Retrieval
Embedding legal texts and economic data for enhanced retrieval.


Fine-Tuning
Optimizing AI for compliance Q&A and eco-related queries.
Prompt Engineering
Designing prompts to improve AI response accuracy and relevance.
In the context of digital transformation, enterprises face evolving regulations and volatile economic conditions. How can a generative AI platform balance compliance and economic benefit while anticipating future trends? We pose these core research questions:
Regulation Interpretation & Compliance Recommendations: Can a generative AI autonomously extract key compliance requirements from complex local regulations, industry standards, and international agreements, then provide customized operational workflows for specific business contexts?
Economic Impact Modeling: How to quantify short-, medium-, and long-term effects of AI-driven digital innovations on profitability, cost structures, and market share across various levels of digital investment?
Policy–Market Interaction Analysis: Can the model monitor newly enacted regulatory policies in real time and simulate the impact of different policy mixes on industry competition and supply-chain stability using macroeconomic data?
Foresight & Scenario Planning: By simulating multiple technology evolution pathways and regulatory scenarios, can AI help executives identify the most disruptive business models and potential regulatory pitfalls?
We hypothesize that a fine-tuned GPT-4 will achieve over 90% accuracy in regulation interpretation; combining retrieval-augmented generation with econometric models will reduce economic forecast error by 25%; and multi-scenario simulations will outperform traditional expert systems in strategic decision support.