What is GenAI? AI that uses knowledge and acts independently
Generative AI refers to AI systems that create something new, such as texts, code, designs or strategies. However, the real added value today lies no longer in pure content creation, but in the combination of generation and intelligence:
- Business knowledge management: Access to your sources of knowledge to create contextual answers, analyses, or documents.
- Autonomous agents: Systems that understand goals, develop action plans and carry out tasks independently — from drafting tender documents to managing complex workflows.
- Decision support: AI that analyses, compares documents, applications or internal reports, suggests decisions and provides comprehensible reasons, while the final decision can remain with humans.
Many organizations today are struggling Information overload, increasing complexity in processes, lack of skilled workers or inefficient IT landscapes. This is exactly where generative AI comes in: It makes knowledge fast accessible, integrates heterogeneous systems, automates recurring tasks and supports employees and authorities in demanding decision-making and analysis processes.
Real Results
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Real Results
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Why generative AI moves your organization forward? Efficiency, knowledge & better decisions
- Intelligent process automation: AI agents take on repetitive but also complex tasks.
- Business knowledge management: Business and government knowledge is made available for precise assistants and fact-based decisions.
- Decision intelligence: Generative models prepare decisions, analyze information and provide well-founded recommendations.
- Personalized assistants: From HR to law, from procurement to citizen services — AI adapts to specialist areas and specific tasks.
- Software development & modernization: AI helps developers migrate legacy code, suggests modernizations, and accelerates development cycles through automated code generation and testing.
- Human+AI = maximum effect: The biggest efficiency gains occur when AI provides analyses and suggestions and people make well-founded decisions.
Your advantage with AMAI: From idea to safe implementation
AMAI develops generative AI that does not replace but reinforces and makes your organization smarter.
- STate cutting-edge technologies: Transformer models, multi-agent frameworks, retrieval augmented generation (RAG), and tool integration.
- From assistance to autonomy: Development of AI systems that not only answer but act.
- Human-AI collaboration in focus: Solutions that relieve your teams, but always keep people accountable.
- Practical & safe: Solutions that meet compliance, privacy, and regulatory requirements.
- From prototype to production solution: We support you throughout the entire process, from a rapid feasibility study to a robust, scalable software system. We're not just experimenting, we're developing productive AI applications that exist in everyday life.
- Holistically thought: From analyzing your data landscape to customization and training to integration into your systems.
- Bring the latest AI know-how in-house: By working with AMAI, you bring the latest research, best practices, and cutting-edge technologies directly to your company or government agency.
Use cases: Examples of how you can use AI in your company
Our process model: This is how we move your AI initiative forward.
As a pure AI consulting and development company, we focus exclusively on AI projects. Our four-stage process model offers you maximum orientation from strategy to production-ready implementation. You don't have to go through all steps: We start right where you are and reliably bring your AI initiative to the next level.
Before individual use cases are developed and evaluated, we work with you to define your company's overall AI strategy. In doing so, we define goals, fields of action, governance objectives and long-term development directions. This creates clarity, focus and priorities and forms the basis for all next steps, from use case workshops to implementation.
With proven components, proven infrastructure and close coordination with your team, we efficiently put your AI solution into productive use. Real transfer of knowledge is taking place continuously.
✔ No prototype without a plan.
✔ No project has no effect.
✔ No effort without results.
Case studies: Successfully implemented AI projects
How Generative AI works: Technologies behind intelligent agents
Generative AI is backed by modern AI architectures that not only generate content but also understand, plan and execute complex tasks, which is the basis for intelligent agents.
- Transformer models (e.g. GPT-5, claude, Llama-3): Basis for language comprehension and generative abilities.
- Retrieval Augmented Generation (RAG): Connect LLMs with organizational and administrative data for fact-based answers.
- Agent architectures: Systems that think in multiple steps, prepare decisions and use external tools.
- Multi-agent ecosystems: Collaborate between multiple specialized AI agents to solve complex tasks.
- Autonomous workflows: From data search to analysis to the execution of processes — always with the possibility of human control and intervention.
Challenges with generative AI include ensuring quality, avoiding bias and complying with guidelines within which assistants and agents should operate.
AMAI helps you to overcome these challenges when using generative AI and develop reliable solutions.
Real Results
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Real Results
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About AMAI: What sets us apart!
We are not a generalist with an AI connection — we are AI specialists with implementation experience. It is precisely this concentration that brings speed, quality and impact to our customers.
AI use case identification & evaluation
AI business cases & roadmaps
Model development & ML engineering
System integration & productive implementation
Productivity, Scaling & Enablement
Explainability & responsible AI
