EmailBench: A Benchmark for Evaluating LLM Agents on Enterprise Email and Productivity Tasks

arXiv cs.AISeptember 29, 2026en

arXiv:2609.31906v1 Announce Type: new Abstract: Enterprise email agents must combine information retrieval, structured state changes, temporal reasoning, and multi-step coordination. Recent agent benchmarks include productivity tasks, but few center on typed email workflows in a self-contained environment. We introduce EmailBench, a benchmark of 206 email and productivity scenarios across 16 task categories. The benchmark couples a typed email API specification with provider-neutral naming, a deterministic synthetic Enron-inspired corpus, and a scenario suite whose topic selection was informed by aggregate task-intent telemetry from an interactive prototype. Its hybrid evaluation protocol co

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