Do we need our own trained AI or are ready-made models sufficient?

In most cases, well-configured integration of ready-made models with the right prompts and context is sufficient. Custom fine-tuning is justified for specific domains with large data volumes.

How will the AI solution work with our data and documents?

We configure RAG (retrieval-augmented generation) — AI gains access to your knowledge base, documents and data, answering questions based on your actual content.

How safe is it to pass our data to AI models?

We configure integrations in compliance with GDPR requirements, use APIs with corporate confidentiality agreements or deploy open-source models locally when full data isolation is required.

AI Integration in Wrocław

We implement artificial intelligence into business processes of Wrocław companies: routine automation, intelligent search, recommendations and data processing using modern AI tools.

Wrocław is one of Poland's leading IT outsourcing centres, where companies are actively experimenting with AI tools. Manufacturing enterprises automate quality control, logistics operators optimise routes, and fintech applies AI for scoring and anti-fraud.

We do not simply integrate off-the-shelf AI tools — we select solutions for the specific tasks of your business and ensure they work within your real infrastructure.

What AI integration includes

Audit and AI solution selection
We study your processes and identify where AI will have the greatest impact. We compare suitable models and tools — GPT, Claude, open-source LLM, specialised APIs — and recommend the optimal solution.
Development and customisation
We build an integration layer between your systems and AI models, configure prompts and fine-tuning for your domain. We integrate the solution into the existing technology stack.
Testing and validation
We verify the quality of responses and AI behaviour on your real business data. We configure control and filtering mechanisms to exclude unwanted outputs.
Launch and monitoring
We deploy the solution to production with quality monitoring and usage metrics. We configure logging for subsequent optimisation and further training.

IT and outsourcing
Companies embedding AI features into their clients' products or own SaaS solutions.
Manufacturing
Enterprises automating quality control, predictive equipment maintenance and document workflows.
Logistics
Operators optimising routes, forecasting delivery times and automating dispatching.
Financial services
Banks and fintech companies applying AI for scoring, anti-fraud and personalisation.
Startups
Teams building AI-native products or adding intelligent features to existing applications.
Tourism and HoReCa
Services implementing personalised recommendations, dynamic pricing and booking automation.