What are the best practices for scalable, explainable GenAI pipelines in high‑stakes domains (e.g., finance, healthcare)

What are best practices for designing scalable, modular GenAI pipelines as incorporating LLMs, RAG, fine-tuning (e.g. LoRA/PEFT), and explainability layers for high-stakes use cases like healthcare or finance (BFSI sector)