While it’s easier than ever to deploy automation, it’s much harder to ensure those early investments won’t hold a company back as it scales.

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform discipline. Enterprises that succeed with RAG rely on a layered architecture.

The early success of AI tools is creating an illusion of readiness and scale that many organizations are not yet equipped to roll out or sustain. What’s possible in a couple of carefully selected ...