New Leaderboard for Enterprise Operations Agents
hugo_larochelle · x · 2026-07-14
Artificial Analysis and ServiceNow have released EnterpriseOps-Gym-AA, an independent leaderboard revamped from the original EnterpriseOps-Gym. It evaluates whether AI agents can execute multi-step, stateful operational tasks within real enterprise systems while adhering to business rules and policies.
The benchmark runs via the Stirrup agent harness, covering 8 business domains. Rather than grading intermediate steps, scoring is based on the final state of the underlying database after the task. Currently, Anthropic's Claude Fable 5 (max) leads with 51%, followed by Google's Gemini 3.5 Flash (high) at 50%, and OpenAI's GPT-5.5 (xhigh) at 47%. Z.ai's GLM-5.2 (max) is the top-scoring open-weight model at 43%.
More from Research
- PNAS paper shows a tiny billiard-ball system is a universal computer — undecidability lives in two dimensions — eigensteve · 2026-09-11
- New paper: Absolute pose estimation from affine cues and gravity direction — ducha_aiki · 2026-09-11
- LoMa Paper Ships REALLY HardPairs Dataset, Accepted at ECCV 2026 — ducha_aiki · 2026-09-11
- Johns Hopkins Launches Full-Stack Hands-on Robot Learning Class with SO-101 Arm Kits — _krishna_murthy · 2026-09-11
- SyncWorld: In-Context Robot World Model Simulates Unseen Views and Embodiments Zero-Shot — ChongZzZhang · 2026-09-11
- A 3D Pose Dataset for Dogs Released — ducha_aiki · 2026-09-11