We cover the full cycle of working with artificial intelligence — from the initial audit to supporting a running solution.
1. AI implementation audit and strategy
- Business process analysis and finding growth opportunities with AI
- Data assessment: what you have, what is missing, how to collect it
- Implementation roadmap prioritized by impact and cost
2. AI solution development
- LLM chatbots and assistants — customer support, internal knowledge bases, employee assistants
- Document analysis — data extraction, classification, summarization, semantic search
- Computer vision — quality control, object recognition, video analytics
- Predictive analytics — demand, churn, risks, recommendations
3. Implementation and integration
- Integration with CRM, ERP, accounting systems and telephony
- Cloud or on-premise deployment, working inside the client’s environment
- Load testing and fault tolerance
4. Support
- Model quality monitoring and retraining
- Client team training, documentation
- Solution development for new business tasks
Want to discuss a task? Write to us — we will suggest options and honestly tell you where AI will pay off and where it won’t.