RAG in production is no longer "retrieve a few documents, paste into a prompt, and hope the answer is correct". The modern pattern is Agentic RAG: plan-execute loops, search across enterprise sources and the web, shared memory, tool use, and verification - shipped as a system with observability and governance, not a single prompt.

For enterprises and organizations deploying AI applications in production, AI Safety is no longer optional. And by AI Safety we don't mean some abstract "AI risk", but the practical policies, controls, and engineering that keep systems secure, compliant, and trustworthy. In this post, we recap our latest Trends in AI webinar, highlight the main concerns around AI enterprise deployments, and outline pragmatic steps to safely and securely bring AI apps to production.

In this post, we outline key challenges in Enterprise RAG, move beyond the basics towards agentic systems, and explore how automatic optimization can adapt these systems to domain-specific needs.