Shadow AI out of control
60% of employees use ChatGPT without IT approval. Sensitive company data flows uncontrolled to US cloud providers.
Innovation & Productivity
Generative AI: Increase productivity measurably
ChatGPT was only the beginning. Enterprise GenAI with RAG systems, private LLMs, and agentic AI unlocks the full potential - secure, compliant, and with measurable ROI for training and consulting.
Generative AI by the numbers
Productivity gains from generative AI are academically validated across domains and company types.
+13.8%Productivity gain in customer support (Brynjolfsson/NBER, N=5,000)
+31.8%Faster code reviews with AI assistance (Kumar/arXiv)
20%of work time is wasted on information search (McKinsey)
Fundamentals
What is enterprise generative AI?
Enterprise generative AI goes far beyond ChatGPT. It includes RAG systems (retrieval augmented generation) that connect LLMs with your company knowledge, private LLMs for maximum data sovereignty, and agentic AI for autonomous workflow automation.
The key insight from research: low performers benefit disproportionately (+35% productivity versus little change for top performers). AI acts as an equalizer by transferring best practices from top performers to everyone else. In practice, two months with AI can equal six months without it (Brynjolfsson/NBER).
At the same time, Forrester shows that blindly pursuing headcount reduction fails. The right strategy is the Iron Man model: AI as augmentation, not replacement. Companies that follow this approach achieve more sustainable outcomes.
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Challenges
The most common GenAI pitfalls
95% of GenAI pilots fail according to MIT. These challenges are the primary reasons.
GDPR risks with public LLMs
Public LLMs can store prompts for model training. This is risky for GDPR, trade secrets, and NDA-protected information.
Hallucinations and misinformation
Baseline LLMs hallucinate in 15-20% of cases. Without guardrails and RAG, incorrect information enters business-critical processes.
Exploding API costs
Without FinOps and monitoring, GenAI costs can escalate quickly. GPT-4 costs $0.06 per 1K tokens - at 100,000 requests per month that can reach $10,000.
Resistance to change
Forrester warns that employees hoard knowledge when they fear AI replacement. The Iron Man approach (augmentation instead of replacement) is critical.
With the right architecture and governance, all of these challenges can be solved.
Solutions
From ChatGPT to an enterprise platform
Secure, scalable GenAI solutions for your organization.
RAG systems and knowledge base
Your company knowledge in a vector database (Qdrant, Pinecone, Weaviate). Hybrid search and reranking for precise, source-grounded answers.
Private LLMs and data residency
Run LLMs in your own infrastructure or EU cloud. Zero-retention APIs, encrypted data, full audit logs. No third-party data exposure.
Enterprise copilots
AI assistants integrated into email, CRM, and ERP. 25-40% productivity gains in knowledge work, tailored to your workflows.
Agentic AI and automation
Autonomous AI agents for multi-step tasks: query data, generate reports, send emails - without manual handoffs.
AI capability training
Hands-on workshops for all employees, from prompt engineering to secure usage. Compliant with Article 4 of the EU AI Act.
LLMOps and FinOps
Monitoring, cost tracking, A/B testing for prompts and models. Continuous optimization instead of launch-and-forget.
Our approach
From ChatGPT experiments to an enterprise platform
A structured process for secure and successful GenAI initiatives.
Develop your GenAI strategy
Free strategy consultation for your GenAI roadmap
Develop your GenAI strategy
Free strategy consultation for your GenAI roadmap
Our approach
Why hypescale for enterprise GenAI
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Academically proven
Brynjolfsson (NBER, N=5,000): GenAI increases productivity by 13.8%. Low performers benefit most (+35%). Two months with AI can equal six months without it. AI transfers best practices from top performers to everyone.
+13.8%Support productivity (NBER)
+35%For low performers
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RAG expertise
Our RAG implementation playbook includes 10 proven steps: from job definition and corpus curation to hybrid retrieval, reranking, security trimming, and continuous evaluation.
80%Fewer hallucinations
10 stepsRAG playbook
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Data sovereignty
No data sent to OpenAI, Anthropic, or other US providers. Run LLMs in your own infrastructure, German cloud, or EU regions. Zero-retention APIs and complete audit logs.
100%GDPR-compliant
0Data to third parties
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Training and enablement
Hands-on workshops based on andragogy principles (Knowles) and the 90/20/8 rule. From prompt engineering to secure usage, compliant with Article 4 of the EU AI Act.
Art. 4AI literacy requirement
Max. 12Participants per workshop
Target audiences
Who is enterprise GenAI relevant for?
Generative AI affects every department, from marketing to IT, from HR to executive leadership.
Executive leadership and board
You want to deploy GenAI strategically with measurable ROI, clear governance, and without uncontrolled shadow AI.
IT leaders and CDOs
You need a secure enterprise architecture: private LLMs, RAG systems, API management, and LLMOps.
Knowledge workers and teams
You want to work more productively with AI copilots for email, reporting, research, and documentation.
HR and organizational development
You must implement AI literacy obligations and need training programs for all employees.
Marketing and content teams
You want to accelerate content creation by 50-70% in your tone of voice, consistently and at scale.
Whether you are just starting or already running GenAI pilots, we bring you to enterprise level.
Our promise
Why organizations trust us
We combine technical excellence with pragmatic implementation for GenAI that works in everyday operations.
Iron Man strategy: AI as augmentation, not replacement. Forrester shows that headcount reduction as the primary goal fails. We focus on augmentation with sustainable productivity gains.
Hands-on RAG expertise: we run our own vector databases (Qdrant) and apply the 10-step RAG playbook in real projects, not just theory.
Data sovereignty without compromise: private LLMs, EU cloud, zero retention. Your data stays with you, guaranteed.
Training that works: based on andragogy (Knowles) and the 90/20/8 rule. Maximum 12 participants for maximum practical transfer.
From strategy to training: everything from one partner, academically grounded and field-proven.
FAQ
Frequently asked questions about generative AI in enterprises
GDPR-compliant Made in Germany On-Premise EU AI Act Ready
Private LLMs - your data stays with you
No data sent to OpenAI, Anthropic, or other US services. LLMs in your infrastructure, German cloud, or EU regions. Zero-retention APIs, encrypted vector databases, and complete audit logs.
On-Premise Deployment
Full control with deployment in your own infrastructure. Your data never leaves your systems.
End-to-End Encryption
Maximum security through full encryption in transit and at rest.
German Data Centers
Hosting exclusively in certified German data centers with high security standards.
GDPR Compliance
Full compliance with the EU GDPR and German data protection requirements.
EU AI Act Ready
Our AI solutions are already prepared for the requirements of the European AI Act.
Audit Trail and Compliance
Complete logging of all access for compliance evidence and audits.