Agentic AI
Agentic AI is more than just a buzzword - it's a real revolution. Agentic AI heralds the next stage of AI development, where goal-orientated AI agents act autonomously, communicate and collaborate with each other to complete tasks. In contrast to conventional AI systems, these agents not only provide analyses or predictions, but also develop solutions based on real knowledge and create real added value.
The potential for optimisation and cost savings is enormous: AI agents improve the use of resources and ensure more efficient scheduling. They do not require exact specifications and do not generate rigid results. Instead, they understand instructions, create plans independently, use tools and deliver dynamic, realisable results.
As a pioneer in the implementation of Agentic AI solutions, Alexander Thamm GmbH, [at] for short, has already helped numerous companies in a wide range of industries to optimise their processes. For example, our solutions have achieved cost savings of 17 to 27 % in the manufacturing industry and reduced production costs by up to 13 million euros. "The future is Agentic" - are you ready to utilise this technology for yourself?
Customers who trust us
What is Agentic AI?
Agentic AI describes an advanced form of artificial intelligence that pursues goals independently and makes decisions autonomously. It differs from purely reactive systems in its ability to act actively and adaptively. The most important characteristics:
- PurposefulnessAgentic AI acts strategically to achieve defined goals.
- AutonomyIt works independently and without permanent human intervention.
- Ability to learnThrough continuous learning, it adapts to new challenges and optimises its actions.
- Planning expertiseShe proactively develops scenarios and strategies to solve complex problems.
- Ability to interactAgentic AI analyses environmental data and reacts to it in real time.
- Business ValueAgentic AI enables companies to autonomously automate repetitive or data-intensive processes, accelerate decisions and remain capable of acting in dynamic environments - from process optimisation to customer interaction.
- Strategic relevanceThis technology not only creates efficiency gains, but also offers competitive advantages in data-driven markets through flexibility and precision.
Added value & benefits of Agentic AI
Increased efficiency and automation
AI agents can automate repetitive tasks, relieving employees and speeding up processes. This leads to considerable time and cost savings.
Improving the decision-making process
By analysing large amounts of data, Agentic AI helps companies to make informed and data-driven decisions, which increases competitiveness.
Personalisation and customer experience
AI agents enable personalised offers and improve customer satisfaction through tailored recommendations and services.
Effective data management
By efficiently managing and analysing data, AI agents identify patterns and trends that help to optimise business strategies.
Risk management and security
AI agents recognise potential risks at an early stage and help to improve cyber security by identifying and fending off threats.
Competitive advantage
Companies that successfully integrate Agentic AI can set themselves apart from the competition and tap into new business opportunities.
Increased reliability and resilience
Compared to rigid RPA systems, AI agents are more flexible and can support each other, which increases system stability.
Sustainability
AI agents can continue to exist independently of specific hardware systems, which promotes their longevity and adaptability.
Compliance
Agentic AI can monitor compliance with regulations and ensure that processes run in accordance with the rules.
New AI Maturity Model by Alexander Thamm [at]
Agent:
- implements recommended measures in
the deed around - enables AI systems to perform actions autonomously in order to complete certain tasks
Multi-agent systems:
- collaborates and optimises solutions in interaction with other systems and people
- relies on networked, self-learning agents that work together and adapt dynamically
DestinationAchieving synergies and solutions for complex problems in real time (e.g. scheduling)
Your contact persons
Alexander Thamm
CEO & Founder
Niels Thomsen
CRO
Dr Johannes Nagele
AI Researcher & Consultant
Our publications
Blog
Agentic AI
In dialogue with your data
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Blog
The future is agent-based
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Video
Is the future "agentic"?
An overview of multi-agent LLM systems
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Blog
Multi-agent systems
An introduction
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Blog
The world of AI agents
Types, benefits and possible applications
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Whitepaper
Agentic AI
Generating value & impact with multiagent systems (EN)
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Podcast
AI Talks: Nails with brains
Multi-agent systems with Dr Philipp Schwartenbeck
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Would you like to know what possibilities there are with AI and data science in your company? Would you like to learn more about our use cases and technology? Talk to our experts!