Email triage and routing
Reading inbound mail, classifying intent and routing it.
Task automation exposure
Very high exposure
Exposure basis
[v3/median] score 90 (A 88 / B 95 / C 90, spread 7) Current LLMs and specialized NLP services can accurately read, understand intent, and route inbound emails at a level comparable to professional triage, though occasional edge cases may still need human oversight. (capable: Large Language Model (e.g., GPT‑4) with fine‑tuned email classification)
2 capabilities · 0 occupations
Basis
How exposure was assessed
[v3/median] score 90 (A 88 / B 95 / C 90, spread 7) Current LLMs and specialized NLP services can accurately read, understand intent, and route inbound emails at a level comparable to professional triage, though occasional edge cases may still need human oversight. (capable: Large Language Model (e.g., GPT‑4) with fine‑tuned email classification)
How much of this task's output current AI can produce or substantially assist.
Best current model strength on any capability this task requires.
This is an assessment of technical feasibility plus published evidence - not a forecast. Even fully automatable tasks are often not automated, because of cost, verification, liability, regulation or the fact that the task is bundled with other work.
Capabilities
AI capabilities involved
15 models tracked · strongest: GPT-5
9 models tracked · strongest: Claude Opus 5.5
Occupations
Occupations that perform this task (0)
Importance is the O*NET-style weight of this task within each occupation. The same task can be highly exposed but peripheral to one job and core to another.
| Occupation | Industry | Importance | Role | Occupation AI exposure |
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Evidence
Evidence (0)
No evidence item is mapped to this specific task yet. The exposure figure above rests on the v1 editorial baseline and on the capability assessment, and should be treated as low-confidence. Pages with fewer than 0 evidence items are excluded from sitemaps.