Four concrete ways to apply AI to real operations. Each with defined scope, integration to your systems, and bounded delivery time.
An agent continuously scans open sources, patents, publications, and relevant news for your sector. Every week it delivers a structured report with signals classified by relevance and potential impact.
RAG + synthesis agent + sector vector index
The system retrieves precedents, applicable regulations, and relevant internal data before each decision. The analyst receives a structured briefing with cited sources, not a generic answer.
Multimodal RAG + ERP/CRM retrieval + rule validation
A copilot that lives inside your tools (CRM, ERP, support, operations) and helps teams complete tasks with real context: customer history, process state, business rules.
Conversational agent + API connectors + per-session memory
Deployed in your private cloud, your servers, or an air-gapped environment. No data leaves your perimeter. Audited open-source models. GDPR and sector regulation compliance.
Local LLM (Llama, Mistral, Qwen) + VPN + audit pipeline