Are your autonomous AI employees already working?
By 2026, companies will no longer work with AI – they will work through AI. We combine monday Sidekick, Make next-gen AI Agents and No-Code to create real, autonomous agents that decide, act and learn independently – always with full transparency and human-in-the-loop governance.
Why Agentic AI will be the new standard in 2026
AI is no longer an add-on, it is your digital colleague. By 2026, customers and employees will expect routine tasks, decision-making preparations and entire process chains to run largely autonomously.
Modern no-code platforms now make it possible to build true agentic AI systems: autonomous agents that analyse, decide, act and learn independently, always transparently, traceably and with human control where it matters.
Depending on the use case, we rely on the most suitable tools e.g. monday Sidekick for context-rich team and project intelligence or Make next-gen AI Agents for complex, multi-app orchestration.
We help you to use precisely these possibilities in a meaningful, secure and measurable way in your company, without your own development team and without months of projects.
What we do
We analyse your processes and data flows and examine where AI can be used effectively, whether for automation, decision support or efficiency improvements.
Analysing processes and data
We examine where AI can be usefully deployed in your existing processes: for automation, decision support or efficiency gains.
Unstructured data → structured actions
Automatically read, classify and route invoices, applications, contracts and minutes into workflows – with high accuracy and validation loops.
Natural language for real results
Voicemails and meetings are automatically transcribed and converted into usable content such as tasks, minutes or follow-up actions, which are then integrated directly into monday.com, for example.
Human-in-the-Loop
AI prepares content, humans make the final decision. This is ideal for controlled but significantly more efficient processes.
Building autonomous AI agents
We create real agents that independently analyse content, make decisions and execute actions.
AI in monday.com
monday Sidekick and Agents understand your entire account context and become your personal AI assistants – all directly in monday.
Why companies will start to work with Blinno in 2026
Technology and strategy combined
Our strength lies in combining sound technical implementation with strategic process consulting, ensuring that AI not only works, but also delivers results.
Experience with the right tools
Whether it's Make, monday.com, GPT APIs or Xano: we know the tools that have proven themselves in practice and know how to connect them properly.
Developing your own use cases together
You have ideas and we implement them. Together, we develop AI applications that suit your business and create real added value.
Expansion instead of gimmicks
We do not see AKI as an isolated tool, but rather as a useful addition to your existing processes – integrated, efficient and relevant to your everyday work.
🎙️ Understanding AI before you use it
Many companies are currently experimenting with AI. However, before building use cases or investing budgets, it is important to understand the basics.
In our podcast episode "AI in Business," we discuss:
- What AI really is – and what it isn't
- Why data quality is more important than tool selection
- How automation, AI workflows, and AI agents differ
- And what a real business use case looks like
This episode is aimed at anyone who wants to use AI strategically – not just try it out.
Ready to use AI wisely?
We connect AI with your existing tools and show you where measurable added value can be created immediately.
FAQ
Bist du noch im Zweifel, ob du Künstliche Intelligenz in deinem Unternehmen einsetzen willst? Hier klären wir einige deiner möglichen Fragen:
What is the difference between classic automation and Agentic AI?
Traditional automation follows fixed if-then rules (e.g., "If email arrives → create item"). Agentic AI goes further: the agent independently analyses situations, makes informed decisions, plans steps, uses tools and adapts to unexpected cases – always with transparent traceability. This enables true autonomy in complex processes, e.g. checking + posting + escalating invoices, without every step being pre-programmed. We build such agents on a no-code basis so that you can see rapid added value.
What specific AI applications can you implement?
Typical use cases include transcription and summarisation of voicemails or meetings, automatic reading and validation of invoices or job applications, suggested replies for emails/tickets, knowledge chatbots on internal documents, and autonomous AI agents that independently control tools such as CRM, ERP or email. However, there are various other applications that can be implemented. In an initial consultation, we can work together to find out what is possible and what is not.
Can AI really work autonomously – and do I retain control?
Yes, and that's exactly why we rely on human-in-the-loop as standard. The agent makes suggestions, takes preliminary decisions or executes upon approval. You define limits, validation loops and escalation rules. This allows you to leverage the speed of Agentic AI while retaining full governance and responsibility.
Will AI agents eventually replace my employees?
No, they replace routine and friction losses, not people. Agentic AI takes on time-consuming, repetitive or data-intensive tasks (e.g. checking, summarising, qualifying). Your teams gain time for creativity, customer contact and strategic decisions. We see this in almost all projects: employee satisfaction increases because frustrating tedious work is eliminated.
Absolutely not. Our solutions are designed for specialist departments and decision-makers without coding knowledge. We take care of the technical implementation, explain everything clearly and train your staff. All you need is your process expertise – we provide the no-code AI stack.
Yes, absolutely. We are flexible: monday.com, Make, Airtable, Notion, Zapier, Lovable, Voiceflow, our own APIs, etc. The focus is on finding the best mix for your use case – not on a single tool.