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What is GenAI? AI that leverages knowledge and acts autonomously
Generative AI refers to AI systems that create something new, such as texts, code, designs, or strategies. However, the real added value today no longer lies in pure content generation, but in the combination of generation and intelligence.
- Knowledge Management in Organizations: Access to your internal knowledge sources to generate context-specific answers, analyses, or documents.
- Autonomous Agents: Systems that understand goals, develop action plans, and execute tasks autonomously, from creating tender documents to managing complex workflows.
- Decision Support: AI that analyzes and compares documents, applications, or internal reports, suggests courses of action, and provides comprehensible justifications, while the final decision remains with humans.
Many organizations today struggle with information overload, increasing process complexity, skilled labor shortages, or inefficient IT landscapes. This is precisely where generative AI comes in. It makes knowledge quickly accessible, integrates heterogeneous systems, automates repetitive 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 drives your organization forward: Efficiency, Knowledge, and Better Decisions
- Intelligent Process Automation: AI agents handle both repetitive and complex tasks.
- Knowledge Management for Public Administration and Businesses: Expert and administrative knowledge is leveraged for accurate assistants and informed, fact-based decisions.
- Decision Intelligence: Generative models prepare decisions, analyze information, and provide informed recommendations.
- Personalized Assistants: From Human Resources, Legal, and Procurement to Citizen Services. AI adapts to specific departments and tasks.
- Software Development and Modernization: AI supports developers with the migration of legacy systems, suggests modernizations, and accelerates development cycles through automated code generation and testing.
- Human plus AI yields maximum impact: Maximum efficiency gains are achieved when AI provides analyses and suggestions, and humans then make well-informed decisions based on them.
Your advantage with AMAI: From idea to secure implementation
AMAI develops generative AI that doesn't replace your organization, but strengthens and makes it smarter.
- State-of-the-Art Technologies: Transformer models, multi-agent frameworks, Retrieval-Augmented Generation (RAG), and tool integration.
- From Assistance to Autonomy: Developing AI systems that not only respond, but act.
- Focus on Human-AI Collaboration: Solutions that relieve your teams, while clearly keeping humans accountable.
- Practical and secure: Solutions that meet compliance, data protection, and regulatory requirements.
- From Prototype to Production Solution: Support throughout the entire process, from rapid feasibility studies to robust, scalable software systems. It's not just about experiments, but about productive AI applications for everyday use.
- Holistic approach: From analyzing your data landscape to customization and training, all the way to integration into your existing systems.
- Bringing the latest AI expertise to your organization: By collaborating with AMAI, you bring the latest research, best practices, and modern technologies directly into your company or public authority.
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 based on modern AI architectures that not only generate content, but also understand, plan, and execute complex tasks. This is the foundation for intelligent agents.
- Transformer models (e.g. GPT-5, Claude, Llama 3): Foundation for language understanding and generative capabilities.
- Retrieval-Augmented Generation (RAG): Connects large language models with organizational and administrative data for fact-based answers.
- Agent Architectures: Systems that think in multiple steps, prepare decisions, and utilize external tools.
- Multi-Agent Ecosystems: Collaboration of multiple specialized AI agents to solve complex tasks.
- Autonomous Workflows: From data retrieval and analysis to process execution, always with the possibility of human control and intervention.
Challenges in generative AI include ensuring quality, avoiding biases, and adhering to the guidelines within which assistants and agents are intended to operate.
AMAI helps you overcome these challenges when implementing 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
