Data & Artificial Intelligence

We provide guidance, prioritize business opportunities, and translate data and AI initiatives into a actionable roadmap. Together, we combine strategic goals, relevant use cases, organizational requirements, and technological capabilities to define a robust next step.

• Data & AI Strategy and Vision: Setting the Course and Direction
  We develop a strategic vision that integrates business priorities, data, AI, processes, and technology into a realistic development path.
• Business Potential and Use Cases: Prioritizing Investments Strategically
  We identify relevant application areas and evaluate them based on business value, feasibility, risks, and dependencies.
• AI Readiness and Business Cases: Establishing a Basis for Decision-Making
  We evaluate the organization, data, technology, and processes, and translate prioritized initiatives into robust business cases and roadmaps.
• Governance and Operating Model: Effectively Establishing Accountability
  We define guidelines, roles, decision-making processes, and responsibilities for managing data and AI.
• Enablement and Transformation: Empowering Implementation Within the Organization
  We train executives, business units, IT, and Data & AI teams and guide the transition from strategic planning to implementation.

We modernize SAP data landscapes and integrate SAP and non-SAP data into a consistent business context. This creates a scalable foundation for reliable decision-making, modern analytics, self-service, and productive AI applications.

• SAP Data Strategy and Target Architecture: Making Transformation Planable
  We develop an SAP-centric data architecture and align it with SAP S/4HANA, RISE, and overarching data and AI goals.
• SAP Business Data Cloud and Datasphere: Delivering Data in a Business Context
  We provide consulting, implementation, and integration services for SAP Business Data Cloud and SAP Datasphere as the foundation for consistent data products and applications.
• SAP Analytics and Planning: Reliable Support for Decision-Making
  We implement modern analytics, reporting, and planning solutions using SAP Analytics Cloud.
• SAP BW Modernization: Making Existing Environments Future-Proof
  We transform established SAP BW environments along a robust migration and modernization path.
• SAP and Non-SAP Integration: Breaking Down Data Silos
  We connect SAP data with external sources, Databricks, and other platforms to create a unified business context.
• SAP Business AI and Joule: Integrating AI into Business Processes
  We integrate SAP Joule and SAP Business AI specifically into existing applications and processes.

We build modern data platforms for non-SAP and hybrid environments. In doing so, we integrate data sources, architecture, governance, and self-service into a robust foundation for analytics, business intelligence, data products, and AI.

• Data Strategy and Target Architecture: Establishing the Technological Framework
  We develop platform-independent target architectures for cloud, multi-cloud, on-premises, and hybrid data landscapes.
• Cloud Data Platforms: Building Scalable Foundations
  We design and implement modern data platforms on Microsoft Azure, AWS, and Google Cloud.
• Data Engineering and Integration: Connecting Corporate Data to Make It Actionable
  We integrate structured and unstructured data and establish robust data models and data pipelines.
• Architectural Patterns and Data Products: Organizing Data for Reusability
  We implement lakehouse, data warehouse, and data mesh approaches and develop data products managed by business owners.
• Business Intelligence and Self-Service: Turning Data into Decisions
  We create enterprise-wide analytics and self-service BI solutions to provide consistent, accessible information.
• Data Governance and Quality: Ensuring Trust and Control
  We embed data quality, metadata, security, and access control as the foundation for analytics as well as analytical and generative AI.

We integrate processes, data, automation, and AI to make end-to-end workflows measurably more efficient. In doing so, we select the appropriate level of automation for each process, ranging from rule-based automation to agent-driven workflows.

• Process Intelligence: Making Processes Transparent and Measurable
  We analyze end-to-end processes and use process mining to identify bottlenecks, variations, and specific opportunities for optimization.
• Process Design and BPMN: Defining Target Processes in a Binding Manner
  We develop process architectures, model target processes, and establish standards for consistent implementation.
• Automation and RPA: Efficiently Performing Rule-Based Tasks
  We automate repetitive, clearly defined process steps and integrate Robotic Process Automation into existing workflows.
• Intelligent and Agent-Based Workflows: Orchestrating Knowledge and Decisions
  We integrate RAG agents and AI-powered workflows that connect systems, data, decisions, and human approvals.
• MVP and Scaling: Reliably Demonstrating the Impact of Automation
  We develop production-ready MVPs and measure their impact based on process quality, turnaround time, costs, and the degree of automation.

We develop AI applications with a clear business objective and take them from the pilot phase to full-scale deployment. We combine analytical and generative AI as appropriate for the task at hand and integrate them securely into existing processes, systems, and data environments.

• Analytical AI: Improving Forecasts and Decisions
  We develop forecasting, classification, and optimization models for forecasting, anomaly detection, and data-driven decision support.
• Generative AI and RAG: Harnessing Corporate Knowledge
  We develop GenAI and RAG solutions for knowledge, content, and interaction based on a company’s own data and documents.
• AI Assistants and Copilots: Providing Targeted Support to Employees
  We design intelligent assistance solutions and integrate them into specialized applications and specific work situations.
• AI Agents and Multi-Agent Systems: Autonomously Handling Complex Tasks
  We develop modular agent architectures for analysis, decision-making, and action across system boundaries.
• AI and LLM Platforms: Delivering Standardized Solutions
  We build platforms and reusable technical components for the secure development, integration, and scaling of AI applications.
• Prototyping and Deployment: From Use Case to Enterprise Solution
  We quickly validate AI use cases, integrate successful solutions into processes, and transform them into scalable, production-ready applications.

We ensure that data platforms and AI solutions not only function technically but can also be operated reliably over the long term, monitored, and continuously improved in a controlled manner. To achieve this, we integrate operational models, governance, security, compliance, and continuous optimization.

• Operating Model and Service Management: Clearly Organizing Operations
  We define roles, responsibilities, and operational processes and ensure the reliable handoff of data and AI solutions to operations.
• Platform, MLOps, and LLMOps: Delivering Changes in a Controlled Manner
  We establish automated lifecycle processes for data pipelines, models, prompts, and agents, including release, change, and configuration management.
• Monitoring and Quality: Continuously Monitoring Performance
  We provide transparency regarding availability, performance, usage, data quality, and model quality, and detect anomalies such as model drift at an early stage.
• Security, Data Protection, and Compliance: Making Risks Manageable
  We embed technical and organizational safeguards, guardrails, approval processes, and auditability into our day-to-day operations.
• FinOps and Usage Management: Ensuring Cost-Effectiveness
  We make cloud, model, and token usage transparent and manage costs based on actual usage and business impact.
• Continuous Optimization: Sustainably advancing solutions
  We systematically improve models, platforms, and operational processes and operate them securely in cloud, multi-cloud, and hybrid environments.