AI Consulting
and Strategy
We deploy AI where it creates value: from readiness and the right use cases to production-grade delivery – secure and measurable.
Why a clear AI strategy pays off
Technology alone isn’t enough. With direction, adoption and clear KPIs, AI reliably delivers results.
Clear AI roadmap
From opportunity assessment to delivery: measurable goals, ownership and realistic milestones – aligned with your strategy.
High-impact use cases
We select use cases with high impact and fast payback – technically feasible, business-relevant, low risk.
Change & enablement
Technology delivers with adoption: communication, training and governance anchor AI in daily work.
Make success visible
Dashboards show ROI, efficiency and quality in real time – so you can scale what works.
Ethics, compliance & GDPR
Trustworthy AI through clear guardrails, auditability and privacy by design.
GDPR & security
Governance & models
Bias & monitoring
AI technologies we use
From deep-learning pipelines to large language models – secure, scalable, maintainable.
Convolutional Neural Networks (CNN)
Models for visual recognition – from quality control to medical imaging.
Applications
Large Language Models (LLM)
Language models for understanding, generation and automation – safely embedded in your processes.
Applications
Long Short-Term Memory (LSTM)
Sequence models for time series, forecasting and anomaly detection.
Applications
Transformer architecture
State of the art for parallel processing and attention mechanisms.
Applications
Reinforcement learning
Learning via reward – optimal decisions in dynamic environments.
Applications
Deep-learning pipelines
End-to-end MLOps for training, deployment, monitoring and governance.
Applications
AI impact in your industry
Proven use cases with measurable results – prioritized by impact and effort.
Financial services
Risk management, fraud detection and automated decisions.
Manufacturing
Predictive maintenance, quality assurance and optimized supply chains.
E-commerce & retail
Personalization, demand forecasting and smart pricing.
Healthcare
Diagnostic support, treatment optimization and process automation.
Our AI methodology
A structured 5-phase approach for lasting success
AI readiness assessment
Holistic review of IT landscape, data quality, security and culture. Strengths, gaps and opportunities become visible.
Strategic AI roadmap
A 12–36 month plan with prioritized use cases, budget and resourcing, plus clear success criteria.
Proof of concept (PoC)
Rapid prototypes for the top use cases – solid results to convince stakeholders and reduce risk.
Delivery & MLOps
Production implementation with agile methods, quality assurance, observability and secure operations.
Optimize & scale
Improve models, roll out successful use cases and generate new ideas from data.
Frequently asked about AI consulting
Short, practical answers.
How do we find quick AI wins?
By combining impact/effort scoring with data availability and risk analysis, we prioritize use cases that deliver measurable value within 6–12 weeks.
How do we measure ROI of AI projects?
We define KPIs (cycle time, hit rate, automation level, cost per case), set baselines and track improvements in a dashboard.
What data quality do LLM use cases need?
Freshness, consistency, confidentiality and semantic structure are key. We establish data governance, RAG pipelines and quality metrics.
What SLAs do you provide for operations?
Up to 99.95% availability depending on need, defined response/recovery times, 24/7 monitoring, security patches and regular audits.
Ready for your AI transformation?
We unlock the potential of your data – with a clear strategy, solid delivery and measurable ROI.