In a workshop, we work with you to prioritize areas where GenAI can add value, then map processes end-to-end to identify inefficiencies. This helps target improvements in R&D, production, QC, or corporate functions through digitalization and GenAI, enhancing quality, speed, and cost.

Output:
A GenAI-readiness assessment (covering data, technology basis and organizational maturity).  

Together, we identify use cases that can benefit most from GenAI. We can take either a technology-driven approach, where our experts assess suitable GenAI technologies for your environment, or a business-driven approach, focusing on your core departments with the highest business relevance. Afterwards, we prioritize the use cases with the highest potential for adding value, based on desirability, viability, and feasibility, tailored to your processes.

Output:
A prioritized list of potential GenAI-based use cases that could be developed as Proofs of Concept or operational solutions.

We support you in building GenAI-ready teams and organizational alignment by assessing current skill sets, identifying gaps in areas such as data science and AI engineering, designing targeted upskilling learning paths, and engaging key stakeholders to secure executive sponsorship and governance structures that drive sustainable adoption.

Output:
A high-level roadmap, a quick-win proof-of-concept plan and use case assessments to make your organization GenAI-ready.

We begin with a comprehensive data-readiness assessment—evaluating availability, quality, structure and labeling—and implement targeted improvements to ensure your data can reliably drive a GenAI solution. Next, we rapidly develop and deploy proofs of concept for your highest priority use cases, setting up the necessary infrastructure, pipelines and security controls. Finally, we lead structured impact assessments—using defined test scripts and KPIs—to capture user feedback, validate functionality and quantify business impact.

Output: 
Implemented and tested proof of concept, demonstrating tangible value and potential for your organization

We help you turn your PoC into a production-grade GenAI solution by extending its feature set and integrations, architecting scalable, secure infrastructure with potential aspects like CI/CD and auto-scaling, and establishing end-to-end MLOps pipelines so you can deploy, maintain and evolve your AI application reliably at scale.

Output:
GenAI-ready infrastructure to scale your GenAI application

We support you in establishing robust AI governance and compliance by identifying the regulatory landscape—be it the EU AI Act, GDPR, HIPAA or industry-specific regulations—translating those obligations into clear requirements around data privacy, transparency, fairness and auditability, and embedding ethical guardrails and risk-management processes into your GenAI solutions from day one. Additionally, we help you manage organizational change by addressing resistance, identifying first-users and power-users and setting up tailored training strategies.

Output:
Compliance requirements, spec & gap analysis, governance & risk register (including policies, roles and mitigation plans)

We help you architect and deploy a resilient, service-oriented infrastructure optimized for agentic AI workloads. By leveraging microservices, model context protocol (MCP) and agent-to-agent (A2A) communication, we ensure your GenAI applications plug into existing systems, scale automatically to meet new demands and adhere to ML Ops best practices—giving you a robust, future-proof foundation for continuous innovation.

Output:

• Scalable Architecture: On-demand resource growth to handle evolving workloads
• Seamless Integration: Interoperability with legacy systems, third-party services and new AI agents
• Future-Ready Design: Modular frameworks ready for advanced agentic use cases
• Operational Excellence: Automated CI/CD, monitoring, drift detection and maintenance workflows  

We continuously monitor GenAI innovations and evolving regulations—such as the EU AI Act, GDPR and HIPAA—and translate new opportunities and obligations into clear technical guidance, risk controls and compliance measures so your AI solutions stay cutting-edge and fully aligned with regulatory requirements.

Output: 

Quarterly GenAI technology and regulatory radar report, compliance gap analysis.

We help you establish an enterprise-grade GenAI platform—defining a hybrid cloud/on-prem architecture, selecting the right partners, and enabling secure LLM hosting—while delivering modular pipelines, APIs and governance frameworks to rapidly build, deploy and to easily implement and manage future AI solutions. Additionally, we support you in building an AI sovereignty strategy to ensure control over your data, models, and infrastructure, enabling compliance with regional regulations and reducing dependency on third-party providers.

Output:
Reference implementation & developer toolkit (APIs, SDKs, templates), training guides and handover documentation.