Leveraging AI & LLMs for Advanced Automation (Bonus)

Episode Overview

Where AI and large language models earn their place inside an automation workflow — and where they do not.

Large language models are useful inside a workflow when the work involves messy text, unstructured documents, summarization, drafting, or operator copilots. They are usually not the right tool for steps that need deterministic rules, transactional accuracy, or low-latency simple decisions. The workflow chooses the tool, not the other way around.

This bonus episode walks through where AI and LLM steps tend to earn their place inside an automation workflow, the surrounding pieces that have to be in place — retrieval, evaluation, escalation, audit, human review — and how to keep model choice reviewable as the underlying platforms keep changing.