AI strategy, GenAI implementation, AI agents, MLOps, and EU AI Act compliance — at the level of international top consultancies, complemented by tax, legal, and holding integration from a single source. For mandates where AI is to become not just a 'pilot' but a productive system.
We do not build AI mandates as pilot projects that never leave the lab — but as productive systems with clear value creation, regulatory resilience, and a scaling roadmap. Senior partner-led, vendor-neutral, with the tax, legal, and holding expertise of TABAK in the background.
Where is AI deployment worthwhile, and where is it not? Structured readiness assessment along data, process, and technology maturity. Use case prioritization with business case and risk matrix.
Productive integration of GPT, Claude, Llama, and domain-specific models — RAG architectures, prompt engineering, function calling, tool use, hallucination control. End-to-end from POC to production.
Autonomous workflow agents, multi-agent systems, long-horizon tasks. We do not develop toy chatbots, but agents that take on real value creation — controlled, auditable, and capable of escalation.
Combination of classic RPA with AI models for hybrid automation. Document intelligence, OCR with understanding, decision-making in unstructured data.
ML and deep learning models for specific use cases. Fine-tuning large language models on domain-specific data, vision models, prediction and anomaly detection systems.
Impact analysis according to the EU AI Act, high-risk system classification, compliance documentation, risk management frameworks. With verifiable audit trails — before the regulatory authorities come knocking.
Data architecture as a foundation: data lakes, feature stores, ML pipelines, model monitoring, A/B test setups. Without a clean data infrastructure, every AI initiative fails.
Executive briefings, technical training for development teams, AI compliance workshops for specialist departments. Including in-house sessions at C-level.
Combine consulting modules, calculate fees live. Fixed prices for initial mandates, retainers for ongoing support — at the level that demanding AI mandates require.
Your AI mandate briefing has been received. We will get back to you within 15 minutes for a confidential scoping.
We do not build AI demos that gather dust after board presentations. Every POC comes with a scaling path, MLOps infrastructure, and compliance roadmap. This sets us apart from many pure AI boutiques — and makes AI at TABAK a viable business area.
Structured identification of suitable AI use cases along value creation and data availability. With a real business case — not 'just because it's trendy'.
Even in the POC, we build with the libraries, structures, and security standards that will later apply in production. No throw-away code.
EU AI Act, GDPR, industry-specific requirements — already considered in the scoping phase. We do not build systems that later have to be classified as 'non-certifiable'.
Model monitoring, drift detection, re-training pipelines. Without these structures, productive models deteriorate in 6–12 months. We always build them in.
Managing directors and boards who need to prepare AI initiatives — for competitiveness, efficiency, or investor narratives. We provide strategy and productive POCs that are explainable internally or externally.
Insurance, banking, healthcare, critical infrastructure — clients where AI must operate under high-risk classification according to the AI Act. We ensure they are audit-proof.
AI due diligence for investments, evaluation of AI-driven business models, post-acquisition AI integration. With the discretion that these mandates require.
Self-operating subsidiaries that need their own AI roadmap — aligned with corporate compliance but technologically independent.
Both — and that is precisely one of our strengths. For many use cases, frontier models (GPT-5, Claude, Gemini) are the right choice. For regulated data, offline requirements, or specialized domains, we develop custom models or fine-tunings. The decision is driven by the use case, not by manufacturer bias.
Readiness assessment: 4–6 weeks. GenAI pilot with production path: 3–4 months. Custom model development: 4–9 months. EU AI Act compliance for high-risk systems: 3–6 months. We provide a binding timeline during the scoping phase.
We do not only build the use case — we also consider the tax, legal, and holding context. Implementing AI in a regulated industry means AI Act compliance, GDPR processing directories, and possibly IP structuring of the developed models. We deliver this from a single source — no agency can provide that.
Initial mandates start from approximately €18,000 (readiness assessment). Implementation mandates start from €45,000. We consciously reject small mandates — the depth that AI requires today cannot be delivered seriously below a certain volume size.
Both. Cloud (Azure OpenAI, AWS Bedrock, Anthropic via API) for most commercial use cases. On-premise or sovereign cloud setups (Llama, Mistral models, local inference) for regulated data, critical infrastructure, and clients with data protection concerns regarding external providers.
Initial conversation is non-binding. NDA available upon request in advance. We listen before we suggest.
