The original title is "How AI is rewiring outbound sales: RAG, intent signals, and deliverability infrastructure"

Short summary

AI outbound is really a data pipeline problem, not a prompt engineering problem. The LLM is only ~20% of the stack; the rest is retrieval, scoring, sequencing, and deliverability infrastructure. Grounding checks, human-in-the-loop approval, and intent-signal pipelines are what separate genuinely useful personalization from creepy-wrong spam.

• •AI outbound is a RAG and stream-processing problem, not prompt engineering
• •LLM is ~20% of the stack; data enrichment, scoring, and deliverability are the rest
• •Grounding checks and human-in-the-loop approval prevent hallucination-driven reputation damage

Generated with AI, which can make mistakes.