RAG and agents
AI systems that retrieve, reason, and act inside company workflows.
RAG is not just vector search. Production systems need ingestion, permissions, ranking, evaluation, tool use, observability, and workflows that fit how the business already operates.
Production stack
From retrieval quality to workflow execution.
- Hybrid retrieval over documents, databases, dashboards, tickets, and operational systems.
- Agentic workflows with tool calling, approval gates, retries, and human oversight.
- Evaluations for answer quality, retrieval accuracy, task success, cost, and latency.
- Deployment patterns that respect access control, auditability, and EU data expectations.
Knowledge assistants
Private assistants that retrieve accurate company context instead of hallucinating from memory.
Workflow agents
Agents that draft, route, update, reconcile, and escalate within controlled business processes.
Evaluation loops
Test sets, review workflows, and metrics that show whether the system is getting better.
Tool independence
Architectures that avoid unnecessary lock-in to one model, dashboard, or automation vendor.