Manage your company
into the future
with our AI consulting

We make artificial intelligence safe and usable!
In today’s dynamic business world, artificial intelligence (AI) is no longer just a technological trend, but a decisive success factor for future-oriented companies. Companies are faced with the major challenge of integrating this technology effectively.
AI offers enormous potential and makes it possible to develop innovative business models and fundamentally optimize existing processes.
We help you to recognize the opportunities of AI and develop tailor-made solutions that make your company future-proof.
Our experienced team of independent AI specialists, software developers and application consultants will support you in identifying and implementing your AI projects.
Our holistic AI solutions combine in-depth technical expertise with a profound understanding of the industry, enabling customized approaches for your individual business requirements.
AI solutions:
Intelligent technologies for your competitive edge
Operational test (Potential Workshop)
Evaluation of the suitability and effectiveness of artificial intelligence for your use cases. In our workshop, we analyse your technological and organizational requirements and identify the most promising AI use cases for your company.
Strategy
Comprehensive planning and definition of the integration of artificial intelligence into your company. We work with you to develop an AI strategy that is optimally aligned with your business objectives and define strategic AI goals and success criteria.
Requirements management
Systematic recording, analysis and prioritization of requirements and expectations for artificial intelligence. We support you in the detailed recording of functional and technical requirements as well as the definition of security and data protection requirements.
Tender support
With the help of AI, you can ensure greater efficiency in the creation, management and evaluation of tenders. Use AI for efficient creation of tender documents and automated compliance checks.
Software development / prototypes
Application of AI and machine learning to create and optimize software solutions. Our developers create customized AI models and algorithms that are precisely tailored to your requirements.
Implementation
Integration and application of artificial intelligence in existing systems and development of new, customized solutions. We support you with seamless integration into your IT infrastructure and ensure the highest security standards.
Bias Audit
Systematic review, analysis and training of AI systems to eliminate potential errors in the algorithm. We ensure that your AI systems are fair, transparent and error-free by systematically checking for biases and prejudices.
AI-supported data protection services
Holistic consulting approach to support AI technologies for you in an efficient, data-driven and GDPR-compliant manner. We work with you to develop data protection-friendly AI architectures and ensure compliance with regulatory requirements.
ComputerBUTLER has not only modernized our IT landscape, but also achieved a real business impact. The cloud transformation has enabled us to reduce our IT operating costs by 40% while significantly increasing the agility of our business.
Further services
Key Benefits
Support
High flexibility
Personalized solutions
Information security
Tools & Platforms
- AI development platforms: Microsoft Azure AI, AWS SageMaker, Google AI Platform — Comprehensive infrastructures for the development, provision and management of AI solutions
- Enterprise security solutions: Fortinet, Palo Alto Networks, IBM Security — Leading security technologies to protect sensitive AI applications and data at the highest level
- Data Science Frameworks: TensorFlow, PyTorch, scikit-learn — Powerful open source libraries for advanced modeling and analysis
- Project management tools: JIRA, Microsoft Project, Monday.com — Specialized tools for agile management and efficient control of AI projects
AI analysis & forecasting models
Advanced data analysis & forecasting models
- Big Data AnalyticsStructured processing and analysis of large, heterogeneous data volumes from different sources
- Predictive analyticsDevelopment of precise forecasting models for well-founded strategic and operational business decisions
- Pattern and anomaly detectionIdentification of hidden correlations and deviations in complex data sets
- Business IntelligenceTransformation of raw data into usable business information through AI-supported analysis tools
- Real-time analyticsReal-time evaluation of data streams for time-critical decision-making processes
Data preparation & integration
Our experts harmonize and integrate your data from various sources to create a consistent database. Through professional data cleansing, enrichment and transformation, we create the basis for reliable analyses and precise forecasting models. With our tailor-made ETL processes (Extract, Transform, Load) and data pipeline solutions, we guarantee a continuous, quality-assured data stream for your analytical applications.
AI-supported decision support
Visualization & Reporting
Your advantages
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Improved decision quality: Make well-founded decisions based on precise data analyses and forecasts instead of relying on gut feeling and empirical values.
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Early risk and opportunity detection: Identify trends, patterns and anomalies at an early stage and react proactively to emerging risks and opportunities.
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Increased efficiency: Automate data-intensive analysis processes and deploy your resources where they create the greatest added value.
Tools & Platforms
- analysis frameworks: Apache Spark, Hadoop, Databricks — Powerful platforms for the distributed processing of large amounts of data
- Machine Learning: TensorFlow, PyTorch, scikit-learn, H2O.ai — Comprehensive libraries and frameworks for the development of advanced predictive models
- Visualization: Tableau, Power BI, Qlik Sense, D3.js — Intuitive tools for the interactive presentation of complex data analyses
- Big data platforms: Snowflake, Amazon Redshift, Google BigQuery — scalable cloud solutions for the efficient storage and analysis of large amounts of data
Intelligent process automation with AI

Process analysis & process mining
We use state-of-the-art process mining technologies to make your business processes transparent and identify optimization potential. By analyzing digital process traces, we gain deep insights into actual process flows, bottlenecks and deviations. This data-driven approach provides the empirical basis for targeted process optimization and intelligent automation.
Seamless integration & orchestration
- Robotic Process Automation (RPA)Automation of rule-based, repetitive business processes
- Cognitive process automationExtension of classic RPA with AI components for processing unstructured data
- End-to-end process optimizationAnalysis, redesign and automation of complete business processes
- Workflow intelligenceSelf-optimizing process sequences through machine learning
- Resource allocationAI-based optimization of resource allocation within business processes
Seamless integration & orchestration
Scalable automation architecture
Your advantages
- Significant cost savings: Reduction of manual effort by up to 70% through intelligent process automation and AI-supported optimization
- Higher process quality: Minimization of error rates and consistent adherence to compliance requirements through standardized, automated processes
- Accelerated process execution: Drastic reduction in throughput times and response speeds thanks to 24/7 availability of automated processes
- Increased employee satisfaction: Freeing employees from monotonous routine tasks and focusing on value-adding, creative activities
Tools & Platforms
- RPA platforms: UiPath, Automation Anywhere, Blue Prism — leading technologies for the automation of structured business processes
- Process Mining: Celonis, QPR ProcessAnalyzer, Minit — Powerful tools for data-based analysis of business processes
- Workflow management: Camunda, Appian, Pega Systems — Flexible platforms for modeling and executing complex business processes
- Low-Code/No-Code: Microsoft Power Automate, Nintex, Zapier — user-friendly automation tools for business users without programming knowledge
Advanced Natural Language Processing

Conversational AI & dialog systems
Intelligent assistance systems
Sentiment analysis & opinion mining
Document understanding & information extraction
Multilingual NLP systems
Text Mining & Knowledge Discovery
Your advantages
- Automation of manual processes: Reduce time-consuming manual word processing and use your employees for value-adding activities.
- Improved customer experience: Offer prompt, precise and personalized interactions through intelligent dialogue systems.
- Data-driven decision making: Gain valuable insights from unstructured text data to make informed business decisions.
- Scalability and consistency: Process large volumes of text with consistent quality and accuracy.
- Competitive advantage: Unlock new business potential with advanced voice processing technologies.
Tools & Platforms
- Commercial NLP platforms: IBM Watson NLP, Microsoft Azure Cognitive Services, Amazon Comprehend, Google Cloud NLP — Comprehensive cloud-based NLP services with robust API support
- Open source frameworks: spaCy, NLTK, Hugging Face Transformers, Rasa — Flexible and customizable libraries for specialized NLP applications
- Specialized models: BERT, GPT, RoBERTa, XLM-RoBERTa — state-of-the-art language models for text comprehension and generation
- Analysis tools: Elasticsearch, Kibana, Tableau, PowerBI — tools for the visualization and analysis of NLP results
- Development environments: Jupyter Notebooks, Visual Studio Code, PyCharm — Productive environments for NLP development and optimization
Specialized machine learning solutions
Our specialized machine learning solutions offer companies the opportunity to optimize data-driven decision-making processes and gain valuable insights from complex data sets.
Using state-of-the-art algorithms and technologies, we develop customized models that are precisely tailored to your business requirements and create measurable competitive advantages.
With our holistic consulting approach, we support you throughout the entire life cycle of your machine learning projects — from initial data analysis and model development through to productive implementation and continuous optimization.
Our experienced data scientists and ML engineers combine in-depth technical know-how with industry-specific understanding to develop solutions that generate real added value for your company.

Supervised Learning
Unsupervised Learning
We identify hidden patterns and structures in complex data sets using innovative clustering and dimension reduction methods. Our unsupervised learning solutions make it possible to gain valuable insights from unstructured data without having to rely on pre-classified training data. These approaches are particularly suitable for market segmentation, anomaly detection and exploratory data analysis, where they open up new perspectives and uncover previously undiscovered correlations.
Reinforcement Learning
Deep learning
Transfer Learning
Transfer Learning
Explainable AI
Your advantages
- Customized solutions: Customized ML models tailored to your specific business requirements and data sets.
- Data-driven decision making: Sound business decisions based on precise forecasts and in-depth data analyses.
- Competitive edge: Development of new business potential and optimization of existing processes through advanced ML technologies.
- Scalable solutions: ML systems that grow with your company and continuously learn from new data.
- Risk minimization: Structured development methodology with clear milestones and continuous validation to ensure successful implementations.
- Knowledge transfer: Comprehensive documentation and training for your teams to derive long-term added value from ML solutions.
Technology portfolio
- ML frameworks: TensorFlow, PyTorch, scikit-learn, Keras, XGBoost — Powerful open source libraries for various ML use cases and model types
- Cloud ML platforms: AWS SageMaker, Google Cloud AI Platform, Microsoft Azure Machine Learning, IBM Watson — Scalable cloud infrastructures for training and deployment of ML models
- Data Processing: Apache Spark, Dask, Pandas, NumPy — Efficient data preparation and transformation tools for ML workflows
- Explainability tools: SHAP, LIME, Captum, InterpretML, AI Explanability 360 — Frameworks for the analysis and visualization of model decisions
- MLOps tools: MLflow, Kubeflow, DVC, Weights & Biases — platforms for versioning, tracking and automating ML workflows
Computer Vision & Image Processing
Our computer vision & image processing services enable companies to intelligently analyze visual data and gain valuable business insights.
By using state-of-the-art AI technologies, we automate visual recognition and analysis processes that previously required manual work and open up new areas of application for image-based decisions.
With our holistic consulting approach, we support you throughout the entire life cycle of your computer vision projects — from the initial analysis of potential and strategic design through to seamless integration into your existing IT landscape and long-term operation.
Our team of experts combines in-depth knowledge of deep learning and image processing with industry-specific expertise to develop customized solutions that meet your specific requirements.

Object recognition & classification
Industrial quality control
Our AI-supported visual inspection systems are revolutionizing quality assurance in production processes. By combining high-resolution camera systems with specialized deep learning models, we develop solutions that reliably detect defects, anomalies and quality deviations — often with greater accuracy than the human eye. Our systems integrate seamlessly into existing production lines, enable real-time inspection and contribute to significant cost savings through reduced reject rates and improved product quality.
Biometric authentication & facial recognition
We implement secure biometric authentication systems in strict compliance with GDPR and other data protection regulations. Our facial recognition solutions combine highly accurate recognition algorithms with robust security measures such as liveness detection and encrypted data storage. We place particular emphasis on ethically responsible implementations with transparent data protection concepts and integrate advanced anonymization and pseudonymization techniques to protect privacy.
Intelligent document processing & OCR
Video analysis & surveillance
3D image processing & scene reconstruction
Your advantages
- Automation of manual processes: Reduce time-consuming visual inspection and recognition tasks with precise AI-supported image analysis.
- Increased quality and consistency: Achieve consistently high recognition rates without human fatigue and subjective evaluations.
- Cost efficiency: Lower operating costs through optimized processes and reduce error rates in production and processing sequences.
- Scalability: Process large amounts of visual data in real time with consistent performance and flexible scaling.
- Data protection compliant implementation: Benefit from computer vision solutions that meet strict European data protection standards and uphold ethical principles.
- New business potential: Open up innovative areas of application and competitive advantages through intelligent image analysis.
Tools & Platforms
- Deep learning frameworks: TensorFlow, PyTorch, Keras, ONNX — Powerful frameworks for the development and implementation of specialized computer vision models
- Computer vision libraries: OpenCV, scikit-image, SimpleCV, Pillow — Comprehensive toolkits for classic and modern image processing tasks
- Cloud platforms: AWS Rekognition, Google Cloud Vision, Microsoft Azure Computer Vision, IBM Watson Visual Recognition — scalable cloud services for rapid implementations
- Edge computing solutions: NVIDIA Jetson, Intel OpenVINO, Google Coral, Qualcomm AI Engine — Optimized hardware and software for computer vision at the network edge
- Special hardware: Industrial camera systems, thermal imaging cameras, depth sensors, 3D scanners — high-quality image capture devices for various application scenarios
Generative AI & Conversational AI
Our Generative AI & Conversational AI services enable companies to unlock the transformative potential of intelligent language systems and generative technologies for their specific business needs.
With customized AI solutions, we automate communication processes, increase the productivity of your employees and create new, innovative customer interactions.
Our holistic consulting approach accompanies you throughout the entire life cycle of your AI projects — from the initial analysis of potential and strategic design through to seamless integration into your existing IT landscape and long-term operation.
Our agile methodology allows us to react flexibly to changing requirements and enables step-by-step development that combines continuous progress with manageable risk.
GenAI solutions
We develop and integrate customized generative AI models that enable text generation, image generation and creative applications for your business. Our GenAI solutions are based on advanced Large Language Models and can be customized to your specific requirements. From the automated creation of marketing content to the generation of product descriptions and the development of creative design elements — we implement generative AI systems that automate manual processes and expand the creativity of your teams.
Chatbots and voicebots
We implement intelligent dialog systems that understand natural language and respond appropriately to customer requests. Our chatbots and voicebots integrate seamlessly into your existing communication channels — from corporate websites and social media to telephone systems. Using advanced natural language processing, our bots recognize customer intentions, have contextual conversations and provide accurate responses. They can automate simple routine inquiries as well as recognize complex requests and escalate them to human employees when needed.
RAG applications
We develop specialized Retrieval Augmented Generation (RAG) systems that make your company’s internal data efficiently usable for generative AI applications. Our RAG solutions combine the strengths of large language models with precise information retrieval systems to generate contextually relevant and factually correct answers based on your own data sources. This makes it possible to build AI applications that not only answer generically, but also incorporate company-specific knowledge from internal documents, knowledge databases and structured data sources — ideal for knowledge management, technical support and internal information systems.
AI assistants
We implement intelligent assistance systems that support your employees in their daily tasks and automate recurring processes. Our AI assistants can be integrated into existing work environments such as Microsoft Teams, Slack or company portals and provide contextual support in real time. From automated responses to internal queries and research support to intelligent scheduling and prioritization, our AI assistants increase the productivity of your teams and allow them to focus on value-adding tasks.
Multimodal AI systems
We develop advanced multimodal AI solutions that can process different types of data such as text, images, audio and structured data in combination. These systems enable complex use cases such as the analysis of product images with simultaneous consideration of customer feedback, the creation of visual representations based on textual descriptions or the comprehensive analysis of meeting recordings. By integrating different modalities, we create AI systems that enable a deeper understanding of complex information and offer holistic solutions for demanding business requirements.
Enterprise AI governance
We support you in developing robust governance frameworks for the responsible use of generative AI in your company. Our experts help you to define clear guidelines for the use of AI systems, identify potential risks and implement suitable control mechanisms. From developing ethical guidelines and implementing content moderation to ensuring data protection and compliance, we ensure that your AI initiatives are implemented responsibly, transparently and in line with regulatory requirements.
Your advantages
- Increased efficiency: Automation of repetitive tasks and acceleration of processes through intelligent AI systems.
- Improved customer experience: 24/7 availability, fast response times and personalized interactions through Conversational AI.
- Knowledge democratization: Company-wide access to information and expertise through intelligent RAG systems.
- Cost reduction: Significant savings through automation of support requests and internal processes.
- Scalability: Flexible adaptation to increasing requirements without proportional personnel requirements.
- Innovation potential: Opening up new business models and creative use cases through generative AI technologies.
Tools & Platforms
- Generative AI models: GPT‑4, Claude, Gemini, Llama, Stable Diffusion — Powerful foundation models for text and image generation with various specializations
- Conversational AI frameworks: Rasa, Botpress, Microsoft Bot Framework, Dialogflow, Amazon Lex — Flexible platforms for the development of intelligent dialog systems
- Vector Databases: Pinecone, Weaviate, Milvus, Chroma, Qdrant — Specialized databases for efficient embedding management in RAG applications
- Deployment & Orchestration: Kubernetes, Docker, MLflow, Seldon Core, BentoML — tools for the scalable provision and management of AI services
- Monitoring & Evaluation: Weights & Biases, TruEra, WhyLabs, Evidently, Giskard — frameworks for monitoring and quality assurance of AI systems
AI innovation lab

AI prototyping
Proof-of-concept workshops
Technology showcases
Innovation Sprints
Co-Creation
Your advantages
- Reduced innovation risk: Through structured experiments and iterative development cycles, we minimize the financial and technical risk when introducing new AI technologies.
- Accelerated market launch: Our agile approach significantly shortens the path from idea to marketable product and gives you a competitive edge.
- Practical technology testing: Test AI solutions in realistic scenarios before making major investments.
- Competence building: Your employees acquire valuable knowledge in the field of AI and data science during the joint projects.
- Cultural transformation: The collaboration promotes an innovation-friendly corporate culture and increases openness to digital change processes.
Tools & Platforms
- AI development environments: TensorFlow, PyTorch, Azure ML, AWS SageMaker, H2O.ai — Leading frameworks and platforms for the development and implementation of machine learning and deep learning models
- Prototyping tools: Figma, Adobe XD, Sketch, InVision — Powerful design and visualization tools for the rapid creation of interactive prototypes
- Collaboration platforms: MIRO, Confluence, Microsoft Teams, Slack, JIRA — digital tools for efficient collaboration and transparent project management
- Open source technologies: Jupyter Notebooks, Scikit-learn, Hugging Face Transformers, Streamlit — Flexible and cost-effective solutions for data analysis and model development
- Visualization tools: Tableau, Power BI, D3.js, Plotly — Powerful solutions for the preparation and interactive presentation of complex data and analysis results
AI expert team

Data Scientists
Data Scientists
AI architects
MLOps engineers
Industry experts
AI ethicist
Cybersecurity experts
Your advantages
- Interdisciplinary expertise: Access to a comprehensive team of experts covering all aspects of modern AI projects — from data strategy and model development to secure implementation.
- Practice-oriented implementation: Focus on practical solutions instead of theoretical concepts in order to generate measurable business value quickly.
- Scalable solutions: Development of AI architectures that grow with your requirements and adapt flexibly to changing business conditions.
- Risk minimization: Comprehensive consideration of security, compliance and ethical aspects to minimize technical and business risks.
- Knowledge transfer: Targeted development of AI skills in your company through training and mentoring by our experts.
- Accelerated value creation: Faster implementation and operationalization of AI solutions through proven methodologies and best practices.
Tools & Platforms
- Machine Learning & Deep Learning: TensorFlow, PyTorch, scikit-learn, Keras, Hugging Face Transformers — Comprehensive frameworks for the development and implementation of AI models of varying complexity
- Cloud & Infrastructure: AWS SageMaker, Google Vertex AI, Azure ML, Kubeflow, MLflow — Powerful platforms for the development, deployment and management of AI applications in the cloud
- MLOps & Automation: GitHub Actions, Jenkins, Airflow, Argo CD, Seldon Core — tools for automating development, testing and deployment processes for AI models
- Data analysis & preparation: Pandas, NumPy, Spark, Dask, Great Expectations — Efficient frameworks for processing, cleansing and transforming large amounts of data
- Monitoring & Observability: Prometheus, Grafana, TensorBoard, Weights & Biases — Comprehensive tools for continuous monitoring and analysis of AI systems in productive use
- AI Security & Governance: Adversarial Robustness Toolbox, AI Fairness 360, Model Cards, SHAP — Specialized tools to ensure fairness, transparency and safety in AI systems
AI governance, security & compliance

Data protection and compliance
GDPR compliance
Privacy by design
Data economy
Transparency
Industry-specific compliance
Your advantages
- Legal certainty: Minimization of legal risks through proactive compliance with all relevant data protection and industry regulations.
- Confidence building: Strengthening the trust of customers, employees and stakeholders through transparent and ethical AI practices.
- Competitive advantage: Positioning as a responsible company in an increasingly regulated market environment.
- Scalable compliance: Future-proof governance frameworks that grow with new regulatory requirements and AI applications.
- Risk minimization: Early detection and addressing of compliance and reputational risks in AI systems.
- Increased efficiency: Optimized data storage and processing through principles of data economy and earmarked data use.
Tools & Platforms
- Data protection management: OneTrust, BigID, DataGrail, Securiti.ai — Comprehensive platforms for managing data protection processes, data subject rights and compliance workflows
- AI governance frameworks: IBM AI Fairness 360, Responsible AI License, Model Cards, Datasheets for Datasets — Structured methods and tools for the documentation and evaluation of AI models
- Anonymization tools: ARX Data Anonymization Tool, Privitar, Statice, Privacy Analytics — Specialized solutions for the anonymization and pseudonymization of sensitive data
- Audit & Monitoring: AI Explainability 360, LIME, SHAP, InterpretML — tools for explainability, monitoring and auditing of AI models
- Compliance management: Hyperproof, MetricStream, LogicGate, SAI360 — platforms for the automation of compliance processes and the integration of regulatory requirements
- Open source alternatives: PyDP (Python Differential Privacy), OpenMined, TensorFlow Privacy, Awesome Privacy — Cost-efficient solutions for integrating data protection functions into AI systems
AI ethics and responsible use

Fairness
Explainability
People-centered approach
Ethical guidelines
Regular review
Your advantages
- Trustworthy AI: Strengthening the trust of customers, employees and stakeholders through ethically sound AI systems.
- Risk minimization: Early identification and addressing of ethical risks before they become reputational or business-damaging problems.
- Sustainable added value: Development of AI solutions that create long-term business value and are socially acceptable.
- Competitive differentiation: Positioning as an ethically responsible company in an increasingly critical market environment.
- Higher acceptance: Increasing user acceptance through transparent, fair and human-centered AI systems.
- Future security: Preparation for upcoming regulatory requirements for ethical AI, as provided for in the EU AI Regulation.
Tools & Platforms
- Bias Detection & Mitigation: IBM AI Fairness 360, Aequitas, FairLearn, What-If Tool — special tools for detecting and reducing bias in AI models
- Explainable AI (XAI): SHAP, LIME, InterpretML, ELI5, Alibi — Advanced frameworks to explain complex model decisions for different stakeholders
- Ethical frameworks: EU Ethics Guidelines for Trustworthy AI, OECD AI Principles, IEEE Ethically Aligned Design — Internationally recognized standards and guidelines for ethical AI development
- Impact Assessment: Data Ethics Canvas, Algorithmic Impact Assessment Framework, Ethics & Algorithm Toolkit — Structured methods for assessing the ethical impact of AI systems
- Governance Tools: Microsoft RAI Toolbox, Google Model Cards, Datasheets for Datasets — documentation and governance tools for responsible AI development
- Open source innovations: AI Ethics Tool Kit, Deon, AllenNLP Interpret — Flexible and cost-effective solutions for integrating ethical principles into AI development processes
IT security for AI systems

Model safety
Data sovereignty
Attack resistance
Zero Trust Architecture
Continuous security monitoring
Your advantages
- Comprehensive protection: Covering all security-relevant aspects of the AI lifecycle from data acquisition to productive use.
- Risk minimization: Significant reduction of security risks through specialized defensive measures against AI-specific threats.
- Compliance security: Compliance with legal and regulatory requirements for the security of AI systems and data.
- Trustworthiness: Increasing the trust of customers and partners through demonstrably secure AI systems.
- Knowledge transfer: Building internal safety skills for AI through training and best-practice sharing.
- Competitive advantage: Positioning as a pioneer in the safe use of AI technologies.
Tools & Platforms
- Model attack simulators: Adversarial Robustness Toolbox (ART), Cleverhans, Foolbox, TextAttack — Specialized frameworks for simulating attacks on AI models and evaluating their robustness
- Model protection: TensorFlow Privacy, PyTorch Crypten, OpenMined, CrypTen — Advanced libraries for differential privacy, federated learning and encrypted computation
- Safety monitoring: Elastic Stack, Splunk, Darktrace, Microsoft Sentinel — Powerful SIEM solutions with specialized modules for detecting anomalies in AI systems
- Access control: Azure AD, Okta, Keycloak, Vault by HashiCorp — Robust solutions for identity and access management with fine-grained control options
- Data governance: Collibra, Informatica, Apache Atlas, OneTrust — Comprehensive platforms for data cataloging, lineage tracking and policy management
- Open source security tools: OWASP ML Top 10, MLSec Project, TensorFlow Model Analysis — Cost-efficient solutions for basic security requirements of AI systems
EU AI Act & Compliance

Risk assessment
Documentation
Transparency
Human supervision
Continuous review
Your advantages
- Legal certainty: Minimization of legal risks through comprehensive compliance with all requirements of the EU AI Act.
- Competitive advantage: Positioning as a trustworthy and legally compliant provider or user of AI technologies.
- Cost efficiency: Avoid expensive rework by integrating compliance requirements into the development process at an early stage.
- Market access: Ensuring the marketability of your AI products in the European Economic Area.
- Risk minimization: Systematic identification and addressing of compliance risks prior to market launch.
- Future security: Establishing sustainable compliance processes that can adapt to future requirements.
Tools & Platforms
- Compliance management: OneTrust GRC, MetricStream AI Governance, Qmulos, IBM OpenPages — Comprehensive platforms for managing regulatory requirements and compliance processes
- Risk assessment tools: EU AI Act Risk Assessment Toolkit, AI Risk Management Framework (NIST), AI Risk & Impact Assessment — Specialized frameworks for the systematic assessment of AI risks
- Transparency & explainability: LIME, SHAP, InterpretML, AI Explainability 360 — Technical solutions for explaining AI decisions and increasing transparency
- Documentation tools: Datasheets for Datasets, Model Cards, Documentation for Machine Learning Projects — Structured templates and tools for regulatory compliant documentation
- Audit & Monitoring: Fairness Indicators, TensorBoard, ML Test Score, AI Verification Tools — solutions for continuous verification and monitoring of AI systems
- Open source alternatives: Open Ethics Framework, Responsible AI Toolbox, Free EU AI Act Compliance Checklist — cost-efficient solutions for basic compliance requirements
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AI as a value-adding factor: quantifiable success for your company
From cost factor to return on investment:
How modern AI solutions measurably refinance your investment
Our AI implementations always aim to deliver concrete, measurable business benefits. You can achieve the following results through the strategic use of AI:
Operational excellence
- Process efficiencyReduction in throughput times for business-critical processes by an average of 40–60%
- Degree of automationIncrease the automation level of repetitive tasks up to 85%
- Resource optimizationMore efficient use of existing capacities through intelligent resource allocation
- Error reductionReduction of manual error rates by up to 90% through precise AI-supported processes
- ScalabilityFlexible growth without a proportional increase in resource requirements
Competitive advantages
- Data-based decision-making: Informed business decisions through AI-powered analytics and forecasting
- Customer centricity: Personalized customer experiences through intelligent analysis of preferences and behavioural patterns
- Accelerating innovation: faster development and market launch of new products and services
- Market responsiveness: improved agility and faster adaptation to market changes
- Digital differentiation: setting yourself apart from the competition through innovative AI-supported Business models
Financial performance
- Cost reduction: Reduction of operating costs by an average of 20–30% through intelligent automation
- Increasing sales: Tapping into new sales potential through improved customer experience and data-driven sales strategies
- ROI optimization: demonstrable return on AI investments within 12–24 months
- Risk minimization: Reduction of financial losses through predictive risk analyses
- Investment efficiency: Targeted use of capital through data-based decision support
Our methodical implementation approach
1. strategic AI consulting and potential analysis
In this fundamental initial phase, we work with you to identify the most promising areas of AI application in your company. Through a thorough analysis of your current processes, data sets and strategic goals, we create a solid foundation for your AI transformation. We quantify the expected added value and develop a realistic, customized implementation path.
- AI readiness assessment: Thorough evaluation of your technological and organizational requirements
- Use case identification: Systematic identification of the most promising AI use cases for your company
- Business case development: quantification of expected benefits and ROI calculation
- Data strategy development: Designing a holistic data strategy as the basis for successful AI initiatives
- Roadmap creation: Definition of a structured implementation path with clear milestones and success criteria
2. conception and proof-of-concept
Based on the strategic preliminary work, we concretize your AI solution in this phase. We develop a detailed concept and implement a functional prototype that is validated under real conditions. This early practical testing provides valuable insights, minimizes project risks and creates confidence among all parties involved in the feasibility and benefits of the planned solution.
- Requirements analysis: Detailed recording of functional and technical requirements
- Data inventory analysis: evaluation of existing data sources in terms of quality, completeness and relevance
- Architecture design: development of a scalable and future-proof system architecture
- Prototype development: implementation of a functional minimal viable product (MVP)
- Validation: Testing of the concept using real business scenarios and adaptation based on feedback
3. scalable implementation and integration
Once the proof of concept has been successfully validated, your AI solution is fully implemented. Thanks to our agile development approach with regular iterations and feedback loops, we remain flexible and can continuously make adjustments. We pay particular attention to seamless integration into your existing IT landscape as well as optimal performance and scalability.
- Agile development: Iterative implementation in manageable development cycles
- Data integration: connecting relevant data sources and ensuring consistent data flows
- System integration: Seamless integration into existing IT landscape and business processes
- Performance optimization: fine-tuning for maximum performance and efficiency
- Quality assurance: Comprehensive tests to ensure functionality, safety and reliability
4. change management and knowledge transfer
The success of AI projects depends crucially on the acceptance and competence of the users. In this phase, we guide your organization through the change process and ensure that all those involved are optimally prepared. Through structured training, clear communication and careful knowledge transfer, we create the conditions for sustainable use and further development of the implemented solution.
- Stakeholder management: involving all relevant interest groups in the transformation process
- Employee training: Comprehensive training for end users and technical staff
- Documentation: Creation of detailed technical and user documentation
- Promoting acceptance: Targeted measures to promote user acceptance and overcome resistance
- Capacity building: Enabling internal teams to independently develop and support the systems
5. continuous optimization and evolution
AI systems are not static solutions, but are constantly evolving. In the final phase, we establish processes for the ongoing monitoring, optimization and further development of your AI solution. By regularly retraining the models, integrating user feedback and adapting to new requirements, we ensure that your AI investment creates added value in the long term and grows with your company.
- Performance monitoring: Continuous monitoring of system performance and quality of results
- Model retraining: Regular updating of ML models with new data
- Feedback integration: Continuous improvement based on user feedback
- Technology updates: Integration of the latest AI technologies and methods
- Scaling management: adapting solutions to growing requirements and user numbers
Further AI application areas from practice
Distribution
- Automatic brokering of sales leads
- Optimized pricing
- Real-time recommendations for specific customer groups through pattern recognition
- Automated customer service agents with language understanding
- Cross-selling and upselling through intelligent customer analysis
- Automatic opportunity scoring
- Precise closing forecasts
Marketing
- Intelligent chatbots in customer service
- Reduction of time spent on internal reports
- Increase in ad performance
- Improvement of content marketing
- Optimization/support in the creation of text content
- Real-time analysis of customer behavior
- Optimization of customer understanding
- Individualized newsletters based on usage and purchasing behavior
HR
- Digital recruitment assistants and video interview tools
- Profile analyses for the further development of employees
- Career assistants for individual coaching and training recommendations
- Support in the selection and evaluation of applicants
Our AI expertise for your industry
Customized AI solutions for sustainable competitive advantages in your market segment
Trade and e‑commerce
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PersonalizationTailor-made shopping experiences through AI-supported recommendation systems
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Dynamic pricingIntelligent price optimization based on market data and customer behavior
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Inventory management: Precise stock forecasts to optimize warehousing
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Customer service automationAI-supported chatbots for 24/7 customer support
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Customer Journey OptimizationData-driven optimization of the customer experience across all touchpoints
Healthcare
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Diagnostic supportAI-supported image analysis for the early detection of diseases
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Patient risk stratificationIdentification of high-risk patients for preventive measures
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Medication managementOptimization of medication supply and administration
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Administrative efficiencyAutomation of document-based processes in the healthcare sector
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Personalized medicine: Individualized treatment approaches based on patient data
Production and manufacturing
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Predictive maintenance: Predictive maintenance of production systems to minimize unplanned downtimes
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Quality assurance: AI-supported visual inspection and fault detection
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Production optimization: Intelligent control of manufacturing processes for maximum efficiency
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Supply chain intelligence: optimizing supply chains through predictive analyses
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Energy efficiency: intelligent control of energy consumption in production environments
Logistics and transportation
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Route optimizationIntelligent planning of transport routes for minimal time and resource expenditure
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Demand forecastPrecise prediction of transportation needs and capacity requirements
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Fleet managementAI-supported monitoring and optimization of vehicle fleets
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Last Mile Optimization: Efficient organization of the last delivery mile
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Automated warehouse managementIntelligent control of logistics centers and warehouse processes
Our practical approach to AI projects
01. requirements analysis
- Process analysis and review of the “data world”
- Receiving requirements and understanding the data, input/output
- Definition of IT target image and solution concept
02 Reporting & performance measurement
- Analysis of success (e.g. error rate), validation of business case
- Decision regarding the pursuit of further use cases
- Definition of requirements
- Transition to Application Lifecycle Management
03. implementation
- Definition, adaptation and creation of IT components (agile approach)
- Integration into the existing IT landscape (establishing connectivity between the customer’s system and the AI platform)
- Testing and GoLive
04 Application Lifecycle Management
- Stabilization through professional IT and user support
- Continuous improvement and application life cycle management
- Regular review of functionality and improvement
The path to AI maturity: shaping transformation
01 Starting signal in the direction of AI
- Analysis of your current situation and data infrastructure
- Developing an understanding of AI potential
- Identification of the first promising use cases
02. targeted experimentation
- Selection and implementation of proof-of-concepts
- Development of initial AI capabilities in the company
- Collection of experiences and lessons learned
03. development of company-wide AI expertise
- Standardization of AI development and operating processes
- Development of internal AI teams and competencies
- Development of a company-wide AI strategy
04 AI expertise as part of the DNA of companies
- AI as an integral part of the corporate strategy
- Data-driven decision-making at all levels
- Continuous innovation through AI