Services · AI
AI Integration
We implement artificial intelligence where it creates real value in everyday work — from intelligent chatbots and AI workflows to the automation of recurring office tasks.
01 · Chatbots
Intelligent conversation partners.
A good AI chatbot does more than answer questions: it knows your products, prices and processes, hands complex cases to your team with full context and creates tickets, appointments or leads in the background. We connect it to your website, email, CRM and knowledge base.
Customer service
Support bots
Automated customer support around the clock: standard questions, status requests and returns are answered instantly, complex cases go to your team with full context.
Sales
Lead qualification
AI-assisted initial consultation: the bot qualifies inquiries, asks the right follow-up questions and books an appointment straight into your calendar.
Internal
Knowledge bots
Internal knowledge management: your team asks about policies, manuals and project knowledge in plain language — and gets answers with sources.
Appointment booking
Appointment & booking bots
The AI takes requests for appointments, reservations and consultations around the clock, checks them against your calendar and confirms automatically.
02 · AI Workflows
Processes that optimize themselves.
AI workflows link several steps into one automated process: data is captured, understood by the AI, checked and filed in the right system. We analyze your existing workflows, identify potential and build solutions that fit into your tools — from data processing to decision support.
Documents
Invoices & receipts
Incoming invoices, contracts and delivery notes are read automatically, checked for plausibility and passed on to accounting or your ERP.
Communication
Email inbox
Inquiries are classified and prioritized, draft replies are ready for approval and tasks land directly in the right ticketing system.
Creation
Quotes & texts
Quotes, product texts and reports are created from templates and your data — in your style, with an approval step and in the format you need.
Analysis
Data & reporting
Figures from shop, CRM and spreadsheets come together: automatic evaluations, weekly reports and hints about anomalies — clearly commented.
03 · Automation
Less routine, more impact.
Every week, hours disappear into scheduling, minutes, research and standard texts. AI takes over these routines reliably — so your team has more time for advice, creativity and decisions. We automate what repeats and let people decide where it matters.
Organization
Appointments & meetings
Scheduling, meeting minutes and task lists are created automatically: summaries with clear to-dos for everyone involved.
Research
Research & analysis
Markets, competitors and documents are monitored and summarized continuously — with sources, so you can verify every statement.
Marketing
Content & social media
Posts, newsletters and translations in several languages: drafts in the right tone, scheduled and published after your approval.
People
HR & onboarding
Job ads, pre-selection and onboarding questions: new colleagues find answers right away, your team gains time.
04 · Industries
The right use for every industry.
AI helps wherever there is a lot of text, a lot of data or many recurring requests. These examples show what that looks like in typical companies — concrete results can be found in our projects.
View all projectsRetail & e-commerce
More revenue, less support
Product advice in chat, automatically created product texts and images, answers to order and return questions: the shop becomes a sales advisor around the clock.
Practices, law firms & services
More time for people
Appointment scheduling, document preparation, summaries and standard correspondence run automatically — sensitive data stays protected, specialists focus on advice.
Trades & SMEs
Quotes in minutes
Inquiries are captured, quotes prepared from templates, jobs scheduled and invoices pre-checked — less office work between two job sites.
05 · Process
In four steps to your AI solution.
We start small and measurable: understand first, then test, then roll out. That way you see early on whether a solution pays off — before larger investments are due.
Step 1
Analysis
We get to know your processes, collect the most time-consuming tasks and assess where AI has the biggest lever.
Step 2
Prototype
Within a few days a first working prototype with your real data is ready — to try out and to base clear decisions on.
Step 3
Integration
The solution is connected to your systems — CRM, email, ERP, shop or knowledge base — and thoroughly tested.
Step 4
Operation & optimization
We support the launch, measure results, improve answers and processes and adapt the AI to new requirements.
06 · Privacy
AI with responsibility.
With AI, what happens to your data matters most. We build with privacy in mind: with clear contracts, suitable models and approvals wherever people should decide.
GDPR
Privacy from the start
We focus on data minimization, data processing agreements and traceable data flows — and document what the AI processes.
EU hosting
Data in Europe
On request, models and storage run in EU data centers; when choosing providers we make sure your data is not used for training.
Local models
Even without the cloud
For particularly sensitive content we use models run locally or in your own network where needed — the data does not leave your company.
Control
People stay in charge
Approval steps, logs and clear escalation rules make sure AI supports your team and your team stays in control.
07 · AI glossary
Terms worth knowing.
Around AI, a lot of technical terms come up. In the AI glossary we explain them briefly and clearly — here are the most important ones to get started.
AI glossary
Large Language Model (LLM)
A large language model (LLM) is a language model trained on enormous amounts of text. It generates text by predicting, piece by piece, the most likely next chunk of text.
Learn more →AI glossary
Retrieval-Augmented Generation (RAG)
Retrieval-augmented generation (RAG) connects a language model with your own sources: for each question, matching passages of text are looked up and handed to the model as the basis for its answer.
Learn more →AI glossary
Hallucination
Hallucination is when a language model makes up statements that sound convincing but are false or unsupported.
Learn more →AI glossary
AI Agent
An AI agent is a system that pursues goals with a language model: it plans steps, uses tools such as search, databases or email, and checks intermediate results.
Learn more →AI glossary
GDPR and AI
The GDPR also applies when you use AI, as soon as personal data is processed. Legal basis, data processing agreements, storage location and transparency matter.
Learn more →AI glossary
Fine-Tuning
In fine-tuning, an already trained model is trained further with your own examples so that it hits a style, format or task more reliably.
Learn more →08 · Frequently asked questions
Questions about AI integration.
How much does an AI integration cost?
How long does implementation take?
Which tasks are suitable for AI?
Can AI be used in compliance with the GDPR?
Which AI models and tools does vona use?
Will AI replace our employees?
Do we need our own data or our own model?
How do we measure the success of an AI solution?
09 · Keep reading
More on AI in practice.
Field reports, case studies and background on AI in business.
Blog
ChatGPT in Business: What Works — and What Does Not
Three forms of use, typical use cases, common pitfalls and a five-step approach: how to use ChatGPT and similar models in your company in a sensible way.
Read more →Blog
AI in Customer Support: What It Delivers and How to Introduce It
When AI pays off in support, what escalation, knowledge base and measurement look like and how to introduce it in stages without risking quality and data protection.
Read more →Blog
Automation with AI Workflows: A Guide with Checklist
Which processes suit AI automation, how a workflow is built, which tools exist and how to calculate expectations and benefit realistically.
Read more →Blog
AI and Data Privacy: What Companies Need to Know Now
GDPR, DPAs, third countries and shadow AI: a practical overview with a data traffic light and checklist so you use AI in your company with data protection in mind.
Read more →AI for your business?
Tell us which tasks take too much time at your company — in a free initial call we show where AI really pays off.
Request now →