Yes, but only when the LLM is treated as an implementation detail, not the feature itself.
In enterprise systems, “full features” built directly on model output tend to fail at the edges: permissions, retries, validation, and auditability. The teams that succeed put a deterministic layer around the model — schemas, tool boundaries, and explicit failure handling.
Once you do that, the LLM stops being the risky part. The architecture is.
In enterprise systems, “full features” built directly on model output tend to fail at the edges: permissions, retries, validation, and auditability. The teams that succeed put a deterministic layer around the model — schemas, tool boundaries, and explicit failure handling.
Once you do that, the LLM stops being the risky part. The architecture is.