Practical AI: results, not buzz
Artificial intelligence is not just a buzzword. At KERN-IT, we integrate AI where it has a concrete impact on your operations: automating repetitive tasks, data analysis, intelligent assistants, information extraction. Don't create AI technical debt: a poorly integrated agent costs more to maintain than to build.
We don't just talk theory: our internal agent A.M.A (Artificial Management Assistant) has been automating our own processes since 2018 — first as an internal chatbot, now an autonomous agent capable of orchestrating complete workflows. And Barnai, our lab project, uses AI to rethink job searching. Our approach is pragmatic: we start from your real use cases.
Our ecosystem: Python (AI's native language), OpenAI, Claude, Gemini, LangChain, LlamaIndex. We choose the model and framework suited to each use case.
Our AI expertise
LLM Agents
Development of conversational agents and intelligent assistants based on the latest language models (GPT, Claude, Gemini). Integration into your business tools to automate support, document analysis or content generation.
RAG & Knowledge Base
Retrieval-Augmented Generation systems connected to your internal knowledge bases. Your teams instantly access relevant information, without hallucination.
Intelligent automation
Data extraction from documents, automatic classification, anomaly detection, predictive workflows. AI at the service of operational efficiency.
Is your organisation AI-ready?
Structured data
AI feeds on data. If your information is scattered across Excel files, emails and sticky notes, the first step is to centralise it. We help you structure your data before integrating AI.
Formalised processes
An AI agent can only automate what is documented. If your business processes are informal, we model them with you before handing them to AI. Result: reliable, auditable automation.
Modern architecture
Your system must be able to communicate with AI model APIs. If your stack is monolithic or closed, we prepare the ground: APIs, microservices, data pipelines. Python is the native language of the AI ecosystem.
They trust us
Our AI approach
1. AI Discovery
Workshop to identify your high-impact use cases and define quick wins.
2. POC
Rapid proof of concept to validate technical feasibility and measure added value.
3. Integration
Development of the AI solution and connection to your existing systems (CRM, ERP, document bases).
4. Deployment & Monitoring
Production deployment, performance monitoring and continuous model improvement.
Frequently asked questions
We start with a discovery workshop to identify your high-impact use cases. We prioritise quick wins: targeted AI projects that demonstrate value in a few weeks before investing further.
Not necessarily. Language models (LLMs) work with your existing documents. For RAG, a few hundred documents are enough. For classic machine learning, data requirements are more significant.
We can deploy models on-premise or on your private cloud. Sensitive data never leaves your infrastructure. We are attentive to GDPR and sector-specific regulations.
A POC (proof of concept) starts from €10,000. A complete AI integration project ranges between €30,000 and €100,000 depending on complexity. ROI is often measurable within the first months.
We have deployed AI solutions in real estate, medical, telecoms, finance and industry. Our technical expertise is cross-sector and adapts to your domain.
Explore AI's potential for your business
Contact our team for an AI discovery workshop and let's identify together the high-impact use cases for your organisation.