Amsterdam
Barbara Strozzilaan 1011083 HN Amsterdam
Netherlands+31 10 307 7131info@kruso.nl
AI Automation is all about the use of artificial intelligence technologies to create automated workflows that can make decisions, process data, and complete tasks with minimal human intervention.
A key enabler of AI automation is the use of visual low-code or no-code platforms, such as n8n, Zapier, make, Medix which allow users to build complex, AI-enhanced automations by visually chaining together many integrations and specialized AI Agent nodes. These systems can be self-hosted or run in the cloud, enabling you to easily run operations, reduce manual effort, and scale processes efficiently.
At the heart of AI automation platforms like n8n is a powerful and flexible workflow editor, which enables you to visually design and manage automation processes without needing extensive programming knowledge.
The following core components make up the foundation of these workflows:
Workflow editor: A drag-and-drop visual interface where you build, configure, and connect automation steps. The editor provides full control over logic, data flow, and integrations, making it easy to construct everything from simple tasks to complex, multi-branch automations.
Standard nodes: Prebuilt components that connect with many services and systems such as email, databases, CRMs, and APIs. These nodes handle common tasks like data retrieval, transformation, notifications, and file handling.
AI Agent node: A specialized node that brings artificial intelligence into the workflow. By connecting to vendor/task specific foundation models, it can perform tasks such as generating text, making decisions based on context, summarizing content, or answering questions. The AI Agent can also be configured with instructions and goals, acting like a lightweight autonomous assistant within the automation.
Chat Trigger: This node allows workflows to be initiated by user interactions in chat interfaces, enabling conversational automation. It’s especially useful for building bots, customer support flows, or internal assistants powered by natural language.
Memory Sub-node: A supportive component that allows the workflow to retain and recall contextual information across steps. This enables more intelligent behavior from AI nodes, such as remembering past inputs, user preferences, or long-term conversation context.
Together, these elements empower you to create highly customized, AI-enhanced automations that can respond, adapt, and scale with evolving needs.
To support data-sensitive clients, we self-host n8n on secure infrastructure, ensuring full control over data privacy, compliance, and system performance. This setup is ideal for organizations with strict security requirements or industry-specific regulations.
Additionally, we publish reusable AI-Agent templates, allowing teams to quickly deploy ready-made, LLM-powered automation patterns for common use cases such as content generation, support triage, or data enrichment. These templates accelerate adoption and reduce setup time.
To drive internal capability, we also organize “automation hack-days” and hands-on training sessions where your team learns to build your own AI-driven workflows using n8n and large language models (LLMs).
The core platform is source-available, giving you full transparency into how the system works. You can audit, customize, and adapt it to meet your needs—without being locked into a black-box solution.
Run the automation engine on your own infrastructure to ensure complete data privacy and compliance. Ideal for sensitive use cases or regulated industries where cloud-based tools aren’t an option.
While no-code is great for speed, you can also extend workflows with custom JavaScript or TypeScript, or build your own nodes to integrate proprietary systems and logic.
Choose from a wide range of prebuilt integrations and workflow templates to connect your tools out-of-the-box—saving time and accelerating deployment.
Add intelligence to your workflows with the AI-Agent node: a goal-oriented, multi-step automation unit powered by LLMs. It brings contextual awareness, reasoning, and natural language capabilities into any process.
Benefit from a vibrant open-source community for support, plugins, and rapid innovation. Prefer a managed service? A commercial cloud version is also available for teams who want scalability without managing infrastructure.
AI automation is cool because it empowers anyone to build smart, goal-oriented processes without needing to code. With visual, drag-and-drop tools, you can create multi-step workflows where AI agents make decisions, generate content, or respond to users in real time.
It's also open-source and self-hostable, which means you retain full control of your data. And for advanced users, it's fully extensible: you can plug in custom logic using JavaScript or TypeScript to handle unique business needs.
In short, AI automation brings together the best of both worlds: user-friendly design and deep technical flexibility.
Our approach is built around the principles of openness, accessibility, and control. We leverage open-source technologies to ensure transparency, flexibility, and a strong developer ecosystem. This allows us to avoid vendor lock-in and adapt solutions to each client's unique needs.
We prioritize no-code/low-code interfaces, enabling both technical and non-technical users to build powerful workflows. Through intuitive drag-and-drop tools, teams can design automations and integrate AI without writing complex code.
At the core of our automation stack is the AI-Agent. A goal-driven, modular AI component that can reason, plan, and act across workflows. We integrate technologies like LangChain to enhance these agents with memory, context-awareness, and the ability to interact with multiple tools and data sources.
For clients with strict compliance or regulatory needs, we offer self-hosted deployment options, giving full control over infrastructure and ensuring data privacy is never compromised.
Everything is tied together through robust workflow orchestration, allowing you to build, monitor, and scale intelligent automations that are secure, maintainable, and aligned with real business outcomes.