AI Strategy and Implementation
We develop customized AI systems that deliver measurable value. No black boxes, no buzzwords—just working solutions.
Development of an independent AI strategy
Most companies don't need a massive AI lab—they need a pragmatic roadmap that connects business challenges with intelligent solutions. Our approach focuses on practical implementation and measurable results.
Assessing AI Readiness
Comprehensive assessment of your current skills, data maturity and organizational readiness
Prioritization of use cases
Strategic classification of AI opportunities based on potential ROI, data availability, and implementation complexity
Architectural design
Tailor-made technology roadmaps tailored to your existing systems and infrastructure conditions
Develop or buy guide
Objective advice on model selection, supplier evaluation and development approaches
AI MVPs and joint use case development
We work together to develop AI applications that quickly solve real-world problems. Our MVPs are designed for speed, precision, and scalability—and are always developed in close collaboration with your team. Here are some use cases our customers frequently ask about:
Intelligent QA automation
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Create test cases and test data from requirements.
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Predict defects based on sprint history.
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Integrate your test management tools.
Process automation
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Automating KYC document verification
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Classification of compliance cases
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Summary of market research results
Custom LLMs
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Internal research assistants
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Intelligent customer service representatives
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Copilots for business analytics
AI model testing and security audit
AI can introduce unexpected errors that traditional testing can't detect. We help customers test, stress test, and secure their models before deploying them to production environments.
✔ Red Teaming
Adversarial testing to identify model vulnerabilities and edge case failures
✔ Bias and fairness
Comprehensive audits to identify and mitigate algorithmic bias
✔ Model monitoring
Systems to detect drift, performance decay, and unexpected model behavior
✔ Data protection
Rigorous testing for data leakage and PII exposure risks in model outputs
Advice on compliance with the EU AI law
With the AI Act, compliance is no longer optional. We help our customers classify, document, and adapt their AI systems to the new EU requirements – with clarity and confidence.
Risk classification
Frameworks for classifying AI systems as minimal, limited, high-risk or prohibited under the requirements of the EU AI Law
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Implementation of human supervision
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Design and implementation of appropriate human monitoring mechanisms for high-risk AI systems
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Integration
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Development of documentation
Comprehensive documentation for conformity assessments to meet regulatory requirements
Monitoring and maintenance
Post-market monitoring and retraining plans to ensure compliance throughout the system's life cycle
Seamless integration with existing compliance, risk, and audit teams to ensure organizational alignment
▶ Are you unsure whether your AI is compliant – or risky?
We provide clarity in the regulatory jungle. We help you classify, document, and future-proof your AI systems in accordance with the EU AI Act – before the regulators come knocking at your door.