AI solutions
Unleash the power of AI today
AI works. If you choose the right type for the right problem. We help you choose, build, and embed it. From the question behind the question to a working solution.
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Why most AI projects disappoint
Many organisations start with AI out of enthusiasm. A chatbot here, an agent there, some experiments with prompts. And then the results fall short.
The conclusion is usually: "AI isn't ready yet." But the real cause is almost always different. The wrong type of AI for the wrong problem. The confusion isn't in what AI can do. It's in which form you choose.
Clear focus
Different types of AI
AI is not one technology. There are fundamentally different solutions, each with their own logic, strengths, and risks. The choice determines whether it works.
And underneath everything lies AI-ready data: the foundation. Without clear sources, structure, permissions, and governance, no agent, workflow, or search solution works reliably.
AI Agents
You set a goal and let go of how it's achieved. Powerful for creative, flexible tasks. But also risky: we've seen an agent "solve" test failures by deleting the tests. Technically correct. A business disaster. Agents work when flexibility matters more than predictability.
AI Workflows
You define the process: which steps, in which order, what happens when something is uncertain. You only use AI where interpretation is needed. The rest is orchestrated. That delivers control and reliability, without losing the benefits of AI.
AI Search
Doesn't do anything automatically. Doesn't make decisions. Understands context. AI search helps you find what you mean, not what you literally type. In many organizations, this is the fastest and least risky AI gain: knowledge that can be found instead of locked in folders and mailboxes.
The foundation
AI Ready data
Agents, workflows, and search have one thing in common: they're only as good as the data underneath. Incomplete sources, unclear rights, missing structure. It doesn't matter how well your AI solution is designed. Garbage in, garbage out.
AI-ready data means: your sources are clear, your structure is clear, your rights and governance are in order. Only then can AI do what it is good at.
We help you lay that foundation. Not as a stand-alone data project, but as an integral part of every AI solution we build
Our approach
How we work
We are not starting with technology. We'll start with your problem.
01. Get a clear picture of the problem
What's the real problem? Not the symptoms, but the cause. We challenge your assumptions and make sure we're tackling the right question.
02. Choose AI Type
Based on the problem, we determine which type of AI solution fits. Agent, workflow, search, or a combination. We substantiate that choice, so you understand the why.
03. Build and prove
A working prototype or proof of concept. Built, not just described. Integrated with your existing systems and data.
04. Embed
Technology only works when people work with it. We guide adoption, provide documentation, and transfer ownership. No black box, no vendor lock-in.
Working with Blis is smooth and pragmatic. They keep agreements, respond quickly to questions and think beyond just delivering software. They look precisely at what the user needs and how we can manage the solution ourselves. That makes the difference.
We're ready
Let's get started
Want to take the next step with AI? Then here's what you can do:
AI Value Discovery workshop
Learn how AI can help you get more sales, new business models or lower costs. Do an AI Value Discovery with Blis Digital specialists and you'll know in half a day what AI opportunities are hidden in your business.
AI lab
Experiment with AI in a safe, controlled environment. In our AI Lab, you can work risk-free with your own team and data on concrete AI solutions. You learn how to work with the technology, build working prototypes and gain insight into how to scale them up within your organization. And it's fun.
AI tools in software development
An interactive session where we introduce your team to the latest AI tools. Think: AI-pair programming with Aider; Generating code with GitHub Copilot; Test automation with AI; using AI for documentation and knowledge sharing.
Let's
talk
about
what's
possible
Share your challenge, vision, or ambition with us, and we'll show you exactly how to make it happen. Our specialists love to collaborate and will immediately map out a practical path forward.