AI for Business

The complete guide to AI adoption – from your first use case to AI agents.

Free · No obligation · AI concept within 2 weeks

What Does AI Mean for Businesses?

Artificial intelligence in your business doesn't mean putting a chatbot on your website. It means getting concrete tasks done faster, cheaper, or better – from researching internal documents and reviewing contracts to automating recurring workflows between your systems.

The tools have long been mature. The difference between companies that draw real value from AI and those that don't rarely lies in the technology – it lies in the implementation: sharp questions, verifiable results, and the right first step.

Why Most AI Projects Fail

Studies show it again and again: a large share of AI investments deliver no measurable return. The reason is almost never the model. It’s vague goals (“we need to do something with AI”), too many projects at once, and results nobody can verify.

We take the opposite path: we start with the business problem, not the technology – and deliver solutions whose value can be measured and whose results can be checked. More on this in our article Why 90% of Companies See No ROI From AI.

What Businesses Use AI For

The most common use cases with clear, measurable value:

Document assistant

An AI assistant connected to your systems like SharePoint that answers from your own documents, contracts, and policies – instead of employees spending minutes searching through folders.

Documents & contracts

Automatically review, summarise, or compare quotes, reports, and contracts against your standard templates – with a traceable audit trail.

Customer communication

Pre-qualify inquiries, draft responses, and answer recurring questions automatically – the human decides, the AI does the legwork.

Process automation

Automate recurring workflows between your systems – from invoice capture to handing data between applications.

How to Adopt AI: Step by Step

Each stage builds on the previous one – no chaos, no overwhelmed teams. We've described this building-block approach in detail in a dedicated article: The Building Block Approach to AI Implementation.

Foundation

Your Data

AI Agents

Each stage builds on the previous one.

Foundation

Before automating a single process: can your team actually use AI well? The starting point is secure, compliant access to leading tools like Claude, ChatGPT, Gemini, or Copilot in a business context.

Your Data

Now the AI gets your company context: we connect your data – for example from SharePoint – so it works on your own documents, contracts, and policies instead of general knowledge. This is where the first concrete use cases take shape.

AI Agents

On a stable foundation, AI agents handle multi-step workflows autonomously and automate recurring work – with clear guardrails, verifiable results, and a human in the right places.

Which AI Approach Fits You?

For most businesses, leading public cloud models are the right choice – they deliver the quality people expect. Beyond that, there are alternatives:

Public cloud AI

Leading frontier models like Claude, ChatGPT, Gemini, or Copilot via the cloud. The highest quality, the fastest start – and the right choice for most businesses. We handle data protection through the contractual basis and data residency in Switzerland or the EU.

Custom solution

When standard tools aren't enough, we build an application tailored to your processes – from data integration with SharePoint and more to the user interface.

Private AI

AI in an isolated environment. Worth it only where regulation strictly requires it – with trade-offs in quality and effort compared to leading public models.

You know the path now – we’ll walk it with you.

In a free intro call, we identify the right AI use cases for your business – concrete and without buzzwords.

Request a Free AI Concept

Data Protection & Compliance in AI

For Swiss businesses, the decisive question is not “whether AI” but “how compliantly.” The revised Data Protection Act (revDSG) requires clarity about which data flows where and who can access it. This can be solved cleanly even with leading public cloud models – through the right contractual basis, data residency in Switzerland or the EU, and clear access rules. That gives you the quality your team expects, without compromising on data protection.

Regulated industries face additional requirements. FINMA, for instance, has published its own guidelines on AI use – we build every solution to be compliant from the start. More on this: FINMA Guidelines on the Use of AI.

What Does AI Adoption Cost – and How Long Does It Take?

Getting started is cheaper than many think. You'll receive a concrete AI concept with prioritised use cases from us free of charge in around two weeks. A first, well-defined use case is often productive within a few weeks – without a large budget and without risk to daily business.

Larger initiatives with multiple automated workflows or AI agents grow from there – step by step, each step with measurable value. To see what that looks like in practice, explore our AI solutions for businesses.

The Five Most Common Mistakes

Starting with the technology instead of the problem. Asking "what can we do with AI?" leads to gimmicks. Asking "which concrete problem costs us time or money?" finds the use case with real value.
Trying to do everything at once. Ten parallel pilots overwhelm any team. Two well-executed use cases build trust – and the foundation for the next step.
Considering data protection too late. Checking where data flows only after launch risks expensive rework or compliance violations. Data protection belongs in the architecture, not at the end.
Accepting results blindly. Good AI workflows deliver answers a human can verify in minutes – with a source, reasoning, or an audit trail. "Trust" is not a strategy.
Forgetting the team. The best AI solution is worthless if nobody uses it day to day. Training and adoption belong in every project.

Frequently Asked Questions

AI in Your Business: Your Questions

AI Adoption, Data Protection & Process

Yes – regardless of your size. The value of AI doesn't depend on headcount but on whether you have recurring tasks that cost time or money – and virtually every company does. Getting started doesn't have to be expensive: it often begins with a single, well-defined use case – such as a document assistant connected to your documents, like SharePoint, or automating a recurring workflow. What matters is not company size, but the right question at the start.

That depends on the chosen approach – and it's exactly what we clarify first. For most businesses, using leading public cloud models is the right choice: through the right contractual basis, data residency in Switzerland or the EU, and clear access rules, it can be made compliant – with the quality you expect from Claude, ChatGPT, Gemini, or Copilot. Only where regulation strictly requires it do we look at isolated alternatives. For us, data protection is part of the architecture, not a checkbox at the end.

We typically deliver a concrete AI concept with prioritised use cases in around two weeks. A first, well-defined use case is often productive within a few weeks. Larger initiatives with multiple automated workflows or AI agents run over several months – deliberately step by step, so each step delivers value before the next begins.

No. That's exactly what we're here for: we translate between your domain expertise and the technology. You bring the understanding of your processes, we bring the AI expertise – and train your team so they can use the solutions independently in daily work. Building knowledge is part of our approach, not a later add-on.

An AI agent is an AI that doesn't just answer but carries out multi-step tasks autonomously: gathering information, using tools, checking intermediate results, and only delivering an outcome at the end. An agent makes sense for recurring, clearly bounded workflows with several steps – such as preparing reports or handling standard inquiries. It belongs at the end of the journey, on a stable foundation, not at the start.