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Agentic AI Services

Agentic AI is more than a buzzword - it’s a transformative leap in AI development. It introduces goal-driven AI Agents that operate autonomously, communicate seamlessly, and collaborate to accomplish specified tasks. Unlike traditional AI systems that are limited to analysis or predictions, AI Agents provide solutions grounded in real-world knowledge, delivering measurable impact and tangible value.

The potential for optimization and cost savings is vast: AI Agents maximize resource efficiency, enhance time management, and operate without rigid instructions. Rather than delivering fixed outcomes, they interpret instructions, autonomously create plans, utilize tools, and produce dynamic, actionable results.

As a leader in implementing Agentic AI solutions, Alexander Thamm [at] has helped numerous companies across industries optimize their processes. Our solutions have delivered cost savings of 17–27% in manufacturing and cut production expenses by up to 13 million euros. "The future is Agentic" – are you ready to embrace this technology?

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Agentic AI: A helpful definition for decision-makers

What is Agentic AI?


Agentic AI is a sophisticated form of AI that autonomously sets goals and makes independent decisions. Unlike purely reactive systems, it can operate proactively and adapt to changing conditions. Its defining characteristics include:

  • Goal-Orientation: Agentic AI takes a strategic approach to accomplishing defined goals.
  • Autonomy: It works independently without constant human intervention.
  • Adaptive Learning: Through continuous learning, it adapts to new challenges and optimizes its actions.
  • Independent Planning and Problem-Solving: It proactively develops scenarios and strategies to solve complex problems.
  • Situational Awareness: Agentic AI analyzes environmental data and responds in real time.
  • Business Value: Agentic AI enables companies to autonomously automate repetitive or data-intensive processes, accelerate decision-making, and remain agile in dynamic environments – from process optimization to customer interaction.
  • Strategic Relevance: Agentic AI goes beyond efficiency gains and offers a competitive advantage in data-driven markets through adaptability and precision.

Value & Benefits of Agentic AI

Increased Efficiency and Automation

AI Agents automate repetitive tasks, reducing workload for employees and accelerating processes, resulting in significant time and cost savings.

Enhanced Decision-Making

By analyzing large datasets, Agentic AI helps companies make informed, data-driven decisions, enhancing their competitiveness.

Enhanced Customer Experience with advanced Personalization

AI agents enable personalized offers and enhance customer satisfaction through tailored recommendations and services.

Effective Data Management

AI agents efficiently manage and analyze data, identifying patterns and trends that help optimize business strategies.

Risk Management and Security

AI agents detect potential risks early and enhance cybersecurity by identifying and mitigating threats.

Competitive Advantage

Companies that successfully integrate Agentic AI can gain a competitive edge and unlock new business opportunities.

Increased Reliability and Resilience

Compared to rigid RPA systems, AI agents are more flexible and can support each other, enhancing overall system stability.

Sustainability

AI agents can operate independently of specific hardware systems, ensuring longevity and adaptability.

Compliance

Agentic AI can monitor compliance and ensure that processes adhere to regulations.

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Want to explore the potential of AI and Data Science for your business? Interested in learning more about our use cases and technology? Talk to our experts!

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The new Maturity Model by [at]

AI Maturity Model
Copyright: Alexander Thamm GmbH 2024

Agent:

  • Implements recommended actions
  • Enables AI systems to perform actions autonomously to complete specific tasks

Multi-Agent Systems:

  • Collaborates and optimizes solutions in interaction with other systems and people
  • Relies on networked, self-learning Agents that work together and adapt dynamically

Goal: Achieving synergies and solutions for complex problems in real time (i.e. scheduling)

Our Experts

Alexander Thamm

Alexander Thamm

Founder & CEO

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Niels Thomson

Niels Thomson

Chief Revenue Officer

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Johannes Nagele

Dr. Johannes Nagele

AI Researcher & Consultant

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Yannik Bauer

Dr. Yannik Bauer

AI Researcher

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Hedda Gressel

Dr. Hedda Gressel

ML Engineer

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Philipp Schwartenbeck

Dr. Philipp Schwartenbeck

Data Scientist

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