A Multi-Agent-System (MAS).

People lead, while AI agents execute.

Background

Since OpenAI's announcement in November 2023, so-called GPTs - i.e. self-designed versions of ChatGPT configured via prompts - are being created by users for countless purposes to answer individual questions in life and provide assistance. Be it as a cooking assistant, as a job and life coach or for writing emails.

But what about more complex issues in day-to-day business? How can AI agents help to provide secure, transparent and reliable information to support everyday business processes?

Based on these questions,  we have developed a so-called multi-agent system (MasAI) in recent months.

How?

Here's how MasAI works, explained through the lens of building a house as an simple example:

1. Multi-Agent System: Think of MasAI as a comprehensive home construction team. Instead of having one person trying to build the entire house, MasAI has multiple specialized "contractors" (AI agents), each expert in their own area of construction.
2. Specialization: Each AI agent is like a specialist in the construction process. For example, one might be an expert architect, another a skilled electrician, another a plumber, and yet another a master carpenter.
3. Coordination: Just like on a construction site where different tradespeople work together to build a house, these AI agents collaborate to tackle complex tasks. They share information and work in sequence or parallel as needed, coordinated by a "project manager" system.
4. Smart Data Management: MasAI has a central "blueprint and materials database" (Smart Data Lake) where all information and learnings are stored. This allows all the AI agents to access and contribute to a growing knowledge base, much like how construction plans and specifications are centrally managed and updated.
5. Customization: The "construction team" (MasAI system) is assembled specifically for each project. If a company needs more data analysis, they'll have more "architect" agents drawing up detailed plans. If they need more content creation, they'll have more "interior designer" agents.
6. Continuous Learning: Like builders learning from each completed house to improve their techniques MAsAI's agents are continuously learning and improving based on the tasks they perform and the outcomes they achieve.
7. Security and Compliance: There's always a "building inspector" (Data Guard agent) ensuring all work meets safety codes and regulations, just as in real construction.
8. Transparency: Unlike a mysterious construction process, MasAI provides a clear record of how decisions were made, like a detailed building log that shows exactly what was done at each stage of construction.

In essence, MasAI works by breaking down complex projects into smaller tasks, assigning specialized AI agents to handle each task, and then bringing everything together in a coordinated, efficient, and transparent manner. This approach allows it to handle a wide range of complex challenges more effectively than a single, general-purpose AI system.

What are the Advantages over a singel-model system such as Chat GPT?

• More focus/control: Breaking through boundaries using multiple AI agents in a multi-agent architecture. The architecture allows the agents to focus and therefore be much more effective and smarter than other agents. Because you can guide the agents much more specifically than a single-model agent.
• Full Automation: Connecting the Subject Matter Experts (SME)-Agents allows you to automate your process fully. Even the quality checks are done by the agents. You don't need to run multiple agents in parallel that are not communicating and learning from each other.
• More transparency: No more black box - process design and agent networking make the system more controllable and easier to understand.
• High adaptability: Our team designs systems specifically for the respective context and dynamically selects the participating agents to achieve the best combination of speed, quality and cost.
• Self-monitoring: Intelligent self-monitoring by special agents that monitor the operating status of the entire system in real-time and react immediately to problems.
• High scalability: Tailor-made solutions that adapt flexibly to any challenge without being locked to a single AI provider.

Why us?

MasAI goes beyond chatbots and generic AI tools. It's a dynamic, self-learning system that evolves with your business, providing a lasting competitive edge in an AI-driven world. With  MasAI, our customers gain access to high-quality, customized AI services that are tailored specifically to their needs and industry requirements.

Implementing high-quality, customized AI solutions requires time, in-depth knowledge and adaptation to industry-specific characteristics. The sooner you get to grips with the possibilities of  MasAI, the greater your future advantage will be. Take the opportunity to stand out from the crowd and secure a real competitive advantage with MAS.

MasAI supports and integrates the leading AI models depending on your requirements - no vendor lock.

The system is constantly evolving with the latest advances in AI technology.

GDPR, security & co.

MasAI has a so-called Data Confidentiality Layer (DCL) that classifies data sources centrally into security levels. The DCL system defines which types of data a specific agent is allowed to process. The DCL also provides information about the security level of the data. This is an essential part of our commitment to data protection and compliance with regulations, especially in view of the strict requirements of the GDPR.



Where is MasAI already in Use?