Intelligent AI agents for smart business automation
Automate and enhance your business processes with modular AI agents that independently process information, prepare decisions, and execute tasks in real time. From strategic to operational tasks, our agent systems are customizable, transparently integrable, and tailored to your data infrastructure.
Everyone talked about ChatGPT...
Everything seemed possible—until reality set in.
Generative AI impressed with quick, smart responses—but left many companies disappointed. Without real data access, context, and process intelligence, it remained isolated.
A new chapter begins
AI agents now move beyond generating content—they act purposefully, prepare decisions, and handle concrete tasks fully integrated into your systems, delivering scalable, secure, and efficient solutions.
What are AI agents and why are they relevant?
AI agents are autonomous software units capable of executing tasks independently using machine learning, organizational data, and predefined goals—such as data analysis, workflow management, or proactive communication with other systems.
Unlike traditional automation solutions (e.g., RPA), AI agents adapt flexibly to new information, learn continually, and seamlessly integrate into existing systems, tools, and data structures. They represent a new era of intelligent, data-driven, and adaptive process automation.
Why AI agents surpass traditional automation and LLMs
Traditional automation relies rigidly on rules, whereas AI agents dynamically use information to prepare—and if necessary, make—real-time decisions. They continuously learn, adapt, and enhance process efficiency.
The Three Building Blocks of AI Agents:
MCP
Model Context Protocol
Connect systems with intelligent context
The Model Context Protocol (MCP) serves as a bridge between agents, data sources, and external tools. It connects information with actions, integrating CRM systems contextually, and enabling agents to take meaningful actions.
Whether you need to store inquiries in CRM, initiate a process via an API, or independently research information online—MCP provides the necessary access, structure, and control.
All actions are fully traceable, controlled within your infrastructure, and 100% data sovereign and GDPR-compliant. MCP turns your agents from passive observers into proactive actors.
RAG
Retrieval-Augmented Generation
Real-Time Knowledge for Your Agents
With RAG technology, your AI agents gain dynamic access to structured and unstructured data sources – from knowledge databases and reports to external information systems.
The crucial difference: Responses are not generated from outdated pre-trained datasets but from contextually relevant information within your organization – ensuring accuracy and traceability.
Whether for automated decision-making, dynamic reporting, or understanding business processes, RAG integrates securely within your infrastructure, fully GDPR-compliant and under your complete control. It serves as the internal memory of your agents, ensuring timely use of your data.
AI Microservices
Modular, scalable, customized
Every company is unique—this is why we think in terms of modular, intelligent architectures instead of rigid platforms. Our services provide a flexible foundation for any AI integration. Each microservice handles clearly defined tasks—such as text recognition, classification, data matching, or decision logic—and integrates seamlessly into your existing workflows.
Uniquely, we also develop custom, specifically trained machine-learning models tailored to your data landscape, without external dependencies. Sensitive business data remains securely internal: processing takes place within your system architecture—fully controlled, GDPR-compliant, and secure against unauthorized access.
Our microservices thus complement your agent systems with complete data sovereignty—precisely, flexibly, and future-proof.
Who benefits from our AI solutions?
We partner with IT managers, BI leaders, and digital strategists who understand that efficiency, scalability, and security are daily necessities rather than trends.
Our solutions suit companies with their own data infrastructures, complex requirements, and a commitment to intelligent process transformation.
Typical client goals:
Make processes measurably efficient
Through intelligent automation and adaptive agent systems
Optimize internal data usage
With real-time, context-based access to distributed knowledge sources.
Automate data-driven decisions
Saving valuable time by delegating analysis and actions to agents
Relieve and scale team resources
Allowing teams to focus by automating repetitive tasks
Your path to a customized AI architecture
Whether you're exploring a proof of concept, entering a pilot phase, or integrating into productive systems—we support you at precisely the right pace for your project. Our agile and transparent collaboration is guided by a simple principle: one contact, all solutions.
Our AI projects consistently leverage open standards and vendor-independent technologies, ensuring maximum future-proofing and complete control.
Your goal: substantial automation.
Our role: creating the perfect AI architecture for you.
What's your next step?
Interested in discovering what’s possible for your business today?
Thomas Howert
BI consultant and AI expert
