The problem isn’t that “we don’t know what AI is capable of”
The problem is: you don’t know exactly where AI can make a difference in your business. And a project that gets off the ground without this clarity costs time and money, without anyone being able to say in the end whether it was worth it. That’s where we come in – with our know-how and expertise, we shed light on the situation!
AI hype, but no plan
Everyone’s talking about AI, but nobody knows where to start or which use case is actually worthwhile.
Use case without a fit
AI is being used to solve a problem that simple automation would solve just as well, if not better.
Pilot without a rollout
An initial test went well, but it never went live because nobody took over day-to-day operations.
Team not included
The tool is there, but nobody is using it properly because there has been a lack of training and support.
Tools we work with!
We're not tied to a single tool. If you're already using a particular AI tool or have decided on one, we'll work with it. If you don't have a preference yet, we look at your use case, weigh up data protection, cost and functionality, and give you a clear recommendation on which tool and model best suits your business.
Claude (Anthropic)
Strong at complex writing, analysing long documents and coding tasks. A good choice when sensitive business content needs careful handling.
ChatGPT (OpenAI)
A broad range of everyday uses, from text to image generation and a wide choice of integrations and plugins.
Gemini (Google)
Plays to its strengths when a business already works with Google Workspace, integrated directly into Gmail, Docs and Sheets. Also strong at processing images and video.
Our approach
From the first workshop to ongoing operation, in clear stages rather than one big leap into the unknown.
1 – AI workshop at your premises
We come to you or meet remotely and look at your workflows together with your team. We work out which tasks are suited to AI and where a simple automation is enough. By the end of the workshop, you'll have a clear assessment instead of a gut feeling. If no case stacks up right now, we'll say so openly.
2 – Implementation
The use cases from the workshop are turned into reality. Depending on the case, we build an AI feature directly into monday.com, an automation with Make, or a standalone agent. Our experts handle the build from the first prototype through testing to the finished, production-ready solution.
3 – Enablement & operation
Once it's built, we train your team on the new agents and workflows, from understanding them to adapting them independently. We use the same tools ourselves internally, so we know their limits first-hand. As a long-term enablement partner, we stay involved as your team grows or new questions come up.
4 – Ongoing partnership
Our collaboration doesn't end when the project does. As your implementation partner, we stay on hand for adjustments, extensions and new use cases. That way, the solution grows with you as your requirements change.
Why businesses are starting with Blinno in 2026
Technology & strategy combined
Our strength lies in combining solid technical delivery with strategic process consulting, so AI doesn't just work, it makes a difference.
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 how to connect them properly.
Developing your own use cases together
You bring the ideas, we bring them to life. Together, we develop AI applications that fit your business and create real value.
An extension, not a gimmick
We don't see AI as an isolated tool but as a meaningful addition to your existing processes: integrated, efficient and relevant to your everyday work.
🎙️ Understanding AI before you use it
Many businesses are experimenting with AI right now.
But before building use cases or investing budget, it's worth understanding the basics.
In our podcast episode „AI in Business“, we talk about:
- What AI really is – and what it isn't
- Why data quality matters more than tool choice
- How automation, AI workflows and AI agents differ
- And what a genuine business use case looks like
This episode is for anyone who wants to use AI strategically, not just try it out.
Ready to make good use of AI?
We connect AI with your existing tools and show you where it creates measurable value right away.
FAQ
Still unsure whether to bring artificial intelligence into your business? Here we answer some of the questions you might have:
What is the difference between traditional automation and agentic AI?
Traditional automation follows fixed if-then rules, such as ‘if an email arrives, then create an item’. Agentic AI goes further: the agent analyses situations independently, makes reasoned decisions, plans steps, uses tools and adapts to unexpected scenarios, always with transparent traceability. This enables true autonomy in complex processes, such as checking, posting and, where necessary, escalating invoices, without every step having to be pre-programmed. We build these agents using a no-code approach so that you can see results quickly.
What specific AI applications can you implement?
Typical use cases include the transcription and summarisation of voicemails or meetings, the automatic extraction and validation of invoices or job applications, suggested replies for emails and tickets, knowledge-based chatbots based on internal documents, and autonomous agents that independently manage tools such as CRM, ERP or email. There are various other applications too. In principle, then, pretty much anything you can imagine. During the free initial consultation, we’ll work out together what makes sense for you.
Can AI really operate autonomously – and will I still be in control?
Yes, and that’s precisely why we’ve adopted ‘human-in-the-loop’ as our standard approach. The agent makes suggestions, takes preliminary decisions or carries out actions once authorised. You define limits, validation loops and escalation rules. This allows you to harness the speed of Agentic AI whilst retaining full governance and responsibility.
Will AI agents eventually replace my staff?
No, they replace routine tasks and inefficiencies, 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 decision-making. In almost all projects, we see that staff satisfaction increases because frustrating, tedious tasks are eliminated.
No. Our solutions are designed for specialist departments and decision-makers with no coding knowledge. We take care of the technical implementation, explain everything clearly and train your team. You provide your process expertise; we provide the no-code AI stack.
Yes. As well as handling the technical implementation, we’ll train your team on how to use the tools and teach them the basics of Agentic AI, so that the solution is actually put to use in day-to-day work.