When you are still choosing the right use case
Goal: quickly separate sensible AI ideas from expensive shortcuts.
Scope: review of processes, data, risks and the next step.
Ask for an estimateCustom AI solutions for businesses
An AI chatbot and assistant that knows your business and hands over to a person
We build chatbots, RAG assistants, voice agents and automations that answer from your sources, connect to your existing systems and support your team with repetitive tasks.
Slovenian and English
Knowledge from your sources
Escalation to your team
Searching sources
running
"What do we need to exchange a product?"
- Returns policy, art. 4 92%
- FAQ — returns and exchanges 76%
- CRM — order history 54%
Composed answer
For an exchange you need the order number, the reason and a photo of the product.
Faster first response
The AI can take basic questions immediately, collect context and shorten the path to a first useful answer.
Knowledge from your sources
Answers are based on documents, FAQs, website content or internal rules that you choose.
Escalation to a person
When a conversation needs human judgement, the AI prepares a summary and hands it to your team.
What can we build for your business?
We adapt the solution to your data, processes and your team's responsibilities.
AI support chatbot
A website assistant for common questions, routing customers and collecting information.
Ask about a chatbotChat with documents / RAG
An assistant that finds answers in PDFs, policies, quotes and knowledge bases.
Ask about a RAG assistantVoice AI agents
Voice conversations for bookings, basic information and call routing.
Ask about voice AIAI process automation
Summaries, message classification and draft replies across your tools.
Ask about automationAI that is more than a chat window
The most value comes when models are connected to your data, access rights and existing systems.
Models
We pick the right LLM for the language, task, speed, cost and data processing requirements.
Data / RAG
We turn documents into searchable knowledge so the assistant answers from relevant sources, not general guesses.
Integrations
Connections to your CRM, calendar, email, forms, document system or internal APIs.
Security
We agree on source access, the scope of data use, escalations and control over sensitive answers.
What does a useful AI conversation look like?
The assistant first understands the question, finds the answer in the agreed sources and then suggests the next step. In unclear cases it collects context for a person.
RAG sources active
internal returns policy
Customer
A customer wants to exchange a product. What do we need?
AI assistant
For an exchange you need the order number, the reason and a photo of the product. If you like, I can draft a reply.
Source: internal returns policy, art. 4
System
Harder cases (a warranty dispute, an amount over €200) are automatically handed to the support team with a conversation summary.
The flow above shows the principle; we always adapt the solution to your sources and process.
I want an assistant like thisProject approaches without a fixed price list
The price depends on sources, integrations, security requirements and the number of user scenarios.
When you want to test an assistant's value
Goal: a first working chatbot for a limited set of questions.
Scope: scenarios, a basic knowledge base, embedding on your site and testing.
Ask for an estimateWhen you have a lot of documents
Goal: answers from verified documents with a clear source.
Scope: preparing sources, search, test scenarios and answer rules.
Ask for an estimateWhen AI affects an operational process
Goal: connect conversations to bookings, tasks, your CRM or notifications.
Scope: conversation flow, API connections, test calls and escalation control.
Ask for an estimateHow do we take AI from idea to everyday use?
We start with a small, testable scope and expand where the solution proves its value.
Use case analysis
We define tasks, users, risks, escalations and the criteria for a successful launch.
Data preparation
We organise the documents, FAQs, website content and rules the AI is allowed to answer from.
Integration and testing
We embed the interface, connect systems and check answers on real scenarios.
Optimisation and support
We monitor conversations, add sources and improve responses based on usage.
Custom AI, a basic chatbot or manual support?
The right choice depends on your data, how complex the questions are and how much responsibility the system should carry.
| Criterion | Custom AI solution | Basic chatbot | Manual support |
|---|---|---|---|
| Knowledge from sources | Documents, FAQs, CRM or internal rules | Pre-written questions | Depends on the team's knowledge |
| Integrations | Tool connections as needed | Limited or no integrations | Manual switching between systems |
| Answer control | Rules, sources, test scenarios and limits | Basic conversation flow | Depends on the person and documentation |
| Handover to a person | Conversation summary and an agreed channel | Usually a contact form | Already with a person, no automatic summary |
| Scaling | Grows by scenarios, sources and integrations | Struggles with complex questions | Needs more time or more people |
Frequently asked questions
Key things worth clarifying before an AI project.
At the start we define which sources the AI uses, who has access and how conversations are stored. For sensitive data we set out security requirements and answer limits separately.
Yes, when the right access or APIs are available. Typical connections are CRM, calendar, email, document systems, web forms and internal tools.
We limit the solution to agreed sources, prepare test scenarios and define when the AI must answer cautiously or hand the conversation to a person.
Yes. The handover can include a conversation summary, contact details, the request category and a link into your existing support channel.
Yes. After launch we can monitor usage, add sources, improve answers, maintain integrations and extend the assistant to new use cases.
Send an AI inquiry
Describe the task, data or process. We reply with questions and a suggested first step.
Have a task that AI should take over?
Let's start with a clear scope: data sources, risks, integrations and a realistic first step.