Our consulting process consists of 6 stages: first, we conduct a deep analysis of your business needs and infrastructure, then we create a prototype for quick idea validation, integrate the solution into your systems, optimise performance and costs, test the quality of model operation and provide ongoing support. This consulting approach ensures controlled quality at every stage.

We focus on three key factors: your business goals, technical capabilities, and potential ROI. During the audit and consulting, we analyse your processes, data quality and infrastructure to propose the highest-value solutions. For example, a RAG system for working with documents or agents for support automation.

Yes, we recommend a gradual AI strategy. We begin with one or two processes with high automation potential (for example, knowledge base search or processing standard requests), which allows us to quickly demonstrate results and minimise risks. After the successful launch of a pilot project, we scaled the solution to other areas.

We implement a monitoring system that tracks key metrics: answer accuracy, response latency, query cost and the performance quality of the RAG system. You receive access to a dashboard with all information in real time, which allows you to promptly evaluate effectiveness as part of our ongoing consulting support.

Yes, we conduct technical training for your specialists, provide full documentation and system operation instructions. We also provide ongoing support to help your team independently manage and develop the AI solution.