AI for business:
practical, not a buzzword
Most SMEs know AI is becoming important. But not where to start. We advise, implement and integrate AI solutions that create real value.
Artificial intelligence
that works
No hype, no buzzword bingo. We use AI where it delivers measurable results. From chatbots to content to process optimization.
AI chatbots for customer service
Chatbots trained on your business. They answer customer inquiries around the clock, qualify leads and take load off your team.
AI-assisted content creation
Create product descriptions, SEO texts and social media posts faster and more consistently. AI as a tool, not a replacement for quality.
AI integration into existing systems
We connect AI systems with your CRM, your website or your internal workflows. No island solution, but seamlessly integrated into what you already use.
AI consulting for SMEs
Where is AI worthwhile for your business? With our expertise we analyze your processes, identify potential and create a practical roadmap.
AI in email marketing
Optimize subject lines, calculate send times and segment audiences. AI makes your email marketing measurably better.
Data protection and AI compliance
Implement AI in a GDPR-compliant way. We pay attention to data protection, transparency and compliance with EU AI Act requirements.
What AI solutions can already do
for your business today
No buzzword bingo. We have already implemented these use cases for SMEs, or they can be implemented at short notice.
AI chatbot for your website
Answers customer inquiries around the clock, including at night and on weekends. Takes load off your team and increases conversion. Routine questions are resolved automatically, complex cases are passed directly to a human. This brings response time down from days to minutes, without anyone having to sit at the screen all the time.
AI-assisted quote creation
From master data and a project brief, a professional quote is created in minutes instead of hours. Consistent, error-free, professional. For sales-driven industries like construction, IT services or mechanical engineering, you save around an hour of preparation per quote, which quickly adds up to several weeks over the year.
AI content creation
SEO texts, product descriptions, social media posts and email campaigns, in your tone of voice and scalable at the push of a button. Instead of two hours for a blog article, you invest 20 minutes of briefing and 10 minutes of fine-tuning. The AI delivers the draft, your brand voice stays intact.
Intelligent workflow automation
AI analyzes incoming data and makes decisions in the workflow on its own. This makes your business processes efficient, instead of just forwarding them. Example: incoming emails are automatically sorted by request type, mandatory fields are read out and created directly in the right system, without anyone having to copy and paste.
AI reporting & data analysis
AI reads your sales, traffic or operational data and delivers clear recommendations, instead of raw numbers that no one evaluates. Instead of monthly Excel reports, you get an overview in plain language: what stands out, why, and what you should do next. This makes data analysis usable even for teams without BI specialists.
Internal AI knowledge base
Employees ask questions about internal processes, documents or guidelines, and the AI answers based on your own materials. Instead of asking five colleagues or searching the intranet, there is an answer in seconds, including a source reference. This is a huge lever, especially when onboarding new employees.
AI is no longer just a large-corporation topic.
SMEs benefit the most.
Large companies have their own AI teams. SMEs need a partner who shapes the digital transformation pragmatically and affordably.
Ready to use right away
No months-long research project. Our AI solutions run within days to weeks. You see results immediately.
Affordable for SMEs
AI tools today cost a fraction of what they cost just two years ago. We find the right solution for your budget.
Secure a competitive edge with AI
Your competition is still waiting. Whoever adopts AI now turns innovation into a competitive advantage and builds a lead that pays off over the coming years.
Why an AI strategy matters more
than the next tool
Most companies start with AI the wrong way around: they test one tool, then the next, and in the end nothing runs properly integrated. We start the other way around, with a clear roadmap that fits your goals and your pace.
Think first, then digitize
Before the first tool is introduced, we take an honest inventory of your business processes. Which tasks cost the most time? Where do bottlenecks arise? Which of your tools and platforms can AI sensibly extend, instead of being replaced by new island solutions? From these answers comes an approach that fits your company, not the current AI hype wave.
Three use cases are better than thirty
Anyone who wants to test AI in ten areas at once usually fails a little bit everywhere. We strategically prioritize the two or three use cases with the highest impact, measured by time savings, revenue contribution or efficiency, and implement them cleanly. The other ideas move onto a roadmap and are implemented step by step over the next quarters. This way you become productive with AI, instead of losing track with too many construction sites.
Integration before island solution
An AI solution only unfolds its value when it is integrated into your existing systems: into the CRM, the accounting tool, the helpdesk. Otherwise you have one more login and one more data silo. From the start we make sure that new AI technologies complement what already runs at your company. This makes your team more agile, not more complicated, and protects the know-how that has grown in your company over the years.
From idea to AI solution
Structured, transparent and without buzzwords. This is how we implement AI for businesses.
AI potential analysis
We look at your business and identify where AI has the biggest impact. Not every task needs AI.
AI strategy and tool selection
ChatGPT, Claude, custom models or ready-made platforms: we recommend what fits your use case and budget.
Implementation and training
We build the AI solution, train machine learning models on your data and integrate them into your existing IT landscape.
Training and ongoing optimization
Your team learns to work with the AI. We optimize continuously and adapt the solution to new requirements.
Frequently asked questions about AI consulting,
answered honestly
How can AI concretely support my business?
AI can today answer customer inquiries automatically (chatbot), create texts and product descriptions, prepare quotes, handle routine tasks in workflows and gain insights from your data. In our free consultation we identify the 2 to 3 use cases with the biggest impact for your business.
What does an AI chatbot for my website cost?
Simple chatbots with a FAQ function start at around EUR 1,500 to 3,000 in one-off costs. More complex solutions with CRM integration or industry-specific knowledge are EUR 3,000 to 8,000. On top of that come ongoing AI API costs of around EUR 30 to 200 per month depending on usage volume.
Do I need technical knowledge to use AI in my business?
No. We handle the concept, the selection of the right AI solution, the technical implementation and the walkthrough. You give feedback on the result, the technology is our job. Many of our AI solutions are used daily by customers without any technical background.
Is my company data safe with AI solutions?
That depends heavily on the chosen solution. We work exclusively with GDPR-compliant providers and, where possible, European data centers. Data protection is not an afterthought at setup, but part of the concept. We transparently document which data flows where.
Is AI worthwhile for small businesses with 5 to 20 employees?
Especially then. Small teams benefit the most from automation, because every hour saved feeds directly into the result. Many of our AI solutions pay for themselves within 3 to 6 months through saved working time. The entry barrier today is significantly lower than two years ago.
What is the difference between AI and machine learning?
Machine learning is a subfield of AI: algorithms that learn from data instead of being explicitly programmed. In most SME projects we work with modern language models (large language models), which are a special case of machine learning. For you as a user the distinction is rarely relevant. More important is what the solution actually delivers for your business.
How long does it take to implement an AI solution?
Simple AI solutions like a FAQ chatbot are live in 2 to 4 weeks. Implementing an AI knowledge base that works on your internal documents takes 4 to 8 weeks, depending on data volume and complexity. More elaborate integrations into CRM or ERP are 8 to 12 weeks. We always start with a compact roadmap and the highest-impact use case, so you see results quickly before we scale out.
Which AI technologies do you use (ChatGPT, Claude, machine learning)?
We always choose AI technologies by use case, not by hype. For language processing and content we mostly use ChatGPT from OpenAI or Claude from Anthropic. Both are leading in many areas and cover the typical standard applications. For special cases like image analysis, prediction models or recommendation systems we use open-source machine learning frameworks. For sensitive data we work with European providers or self-hosted models. Which technology fits your business we clarify in advance and define it in the joint approach.
How does the initial call work?
The initial call takes 30 to 60 minutes and is free. Together we look at where AI would have the biggest impact in your business: customer service, sales, internal processes or marketing. You tell us where you lose time today, we bring experience from other industries and show you examples that fit your use case. At the end you have a clear assessment of whether and where AI makes sense for you, with no sales pressure and no obligation.