AI Solutions for European Businesses | Custom AI Development & Consulting

The AI hype has settled, and the technology has matured. It's no longer just about generating text and images. It's about deploying AI agents and intelligent systems in production that solve real, mundane, and important tasks – driving digital transformation across your organisation.

To succeed with this in a European business context, an OpenAI license isn't enough. It requires proper software development, control over your data, and regulatory compliance with GDPR and the EU AI Act.

Our approach is grounded. We focus on the architecture – the glue that connects the new, smart AI models with the core systems you already use. That's how we create solutions that actually work in everyday operations, delivering stable value over time.

RPA (Robotic Process Automation) has long been the standard for automating repetitive tasks. But it's important to understand the difference: RPA follows rigid rules and clicks through screens – it's "dumb" automation that breaks when the interface changes.

Artificial intelligence and machine learning add what RPA lacks: understanding and adaptability. Where an RPA bot stops when an invoice format changes, an AI solution can interpret the content and handle variations. We build the intelligent layer on top – systems that actually understand what they're working with.

For organisations with existing RPA investments, we can integrate machine learning to make your automation more robust and intelligent. It's not about replacing everything, but about elevating your solutions to the next level.

A language model is only as good as the data it's fed. The most common obstacle to successful AI adoption is attempting to connect advanced models to unstructured data. This results in inaccurate answers and potential security vulnerabilities.

We build solutions based on RAG architecture (Retrieval-Augmented Generation). Simply put, this forces the AI to base its answers on facts you actually have. This significantly reduces the risk of "hallucinations."

The transition from a passive chatbot to an active agent is about connecting the technology to your business systems, whether it's Salesforce, Visma, or SAP. This is where we move from talking about things to getting things done.

Many businesses start their AI journey with a chatbot. It can be a good starting point – but a chatbot is only as good as the systems it's connected to. A standalone chatbot that only answers general questions provides limited value.

We build chatbots and AI assistants that are integrated with your business systems and data. This means the chatbot can actually help customers with order status, employees with HR questions, or sales teams with product information – based on real-time data from your core systems.

The EU AI Act sets new requirements for how artificial intelligence can be used in business. Although the regulation is not yet formally implemented in all jurisdictions, it's right around the corner. The requirements will affect European businesses, especially AI systems in HR, recruitment, and critical infrastructure.

We take no chances on compliance. We build GDPR-ready AI solutions that meet future EU AI Act requirements today:

Traceability: You should be able to see exactly which source documents the AI based its answer on.

Logging: All interactions are logged for auditing and quality assurance.

Human in the Loop: Critical decisions are designed so they always require human approval before execution.

We also ensure that solutions meet accessibility requirements (WCAG), making them accessible to all employees.

We prevent projects from stalling after the test phase by planning for operations from day one.

Technical Assessment: We evaluate data quality and infrastructure. Is the data in the cloud? We identify use cases with low risk and high value.

Prototyping (MVP): We build a working solution in a closed environment to validate that the technology actually solves the problem.

Security Testing: We stress-test the solution (Red Teaming) to uncover vulnerabilities or potential data leaks.

Deployment: Rollout with monitoring, training, and a clear model for maintenance.