AI Data

With the Wortell AI Data Platform, you lay a scalable, secure and future-proof foundation for data, analytics and AI. We combine Microsoft data platform technology, automation and AI to make your data reliable, accessible and immediately usable for decision-making and innovation. 

One standardized platform, ready for analytics, AI, and data-driven growth. 

Why AI Data Platform? 

• One central platform for all your data: structured, unstructured and real-time 

• Microsoft Fabric, Azure Data Services, and Power BI as a proven foundation 

• AI-ready architecture: ready for Copilot, Azure OpenAI and advanced analytics 

• Governance & security by design: data ownership, compliance and access control guaranteed 

• Scalable and cost-efficient thanks to cloud-native architecture 

• Reduced manual work through automation in data pipelines and platform management 

• From reporting to predictive and prescriptive insights 

 

Our approach 

Every organization differs in maturity, ambitions and direction. That is why we also offer three service models for the AI Data Platform: 

Advice 

Access to our data and AI specialists for architecture advice, design reviews, roadmap sessions and optimizations. 

Co-Managed 

You remain the owner of the data and use cases. We provide and manage the platform, including governance, monitoring and AI-ready setup. 

Fully Managed 

Complete unburdening of your data platform: from dashboards and links  to monitoring to security, compliance and cost optimization. 

You can read more details about these models on our service models page. 

In addition, AI Data Platform can also be delivered as a project, for example for: 

• Setting up or modernizing a data platform 

• Migrate to Microsoft Fabric or Azure 

• Building links or dashboards 

• Preparing for AI and Copilot scenarios 

Results for your organization 

• Faster decision-making thanks to reliable and up-to-date insights 

• Lower platform costs due to sector standardization 

• More grip on data, governance and compliance 

• Faster time to value for AI and analytics use cases 

• IT and data teams that focus on value, not management