"Email automation with LLMs: classification, drafting and the trust ladder"
Letting an LLM near your inbox is not one decision — it is three, taken in order. Classify first, draft for review next, auto-send last, and only where the data has earned it. Skipping rungs is how email automation projects die.
Nobody wants an AI answering their email on day one, and they are right not to. An email sent under your name to a customer, a supplier, or a regulator is about the highest-stakes output a business automation can produce. It is also, handled properly, one of the highest-value things to automate: McKinsey Global Institute famously estimated that reading and answering email eats 28 per cent of the average knowledge worker's week, and nothing in the years since has made that figure feel exaggerated. The way to square that is to treat email automation not as one decision but as a ladder, and to climb it one rung at a time.
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