{
  "id": 11351580,
  "title": "AutoSynthData: Generating Training Data for Enterprise Agents",
  "url": "https://urgent.news/2026/10/02/autosynthdata-generating-training-data-for-enterprise-agents",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-02T04:01:31.000Z",
  "source": {
    "name": "Hugging Face",
    "slug": "hugging-face",
    "url": "https://huggingface.co/blog/ServiceNow-AI/autosynthdata"
  },
  "original_language": "en",
  "account": null,
  "summary": "AutoSynthData is a tool developed by ServiceNow CoreAI to generate training data for enterprise agents. The tool aims to address the weaknesses of enterprise agents by turning their capability gaps into training data. It does this by using a target model's failures and a stronger teacher's successes to decide what the model should learn next, then generating and validating new tasks that exercise those capabilities. The generated tasks are designed to be feasible, realistic, and difficult enough to expose weaknesses in the agent's current performance. The tool illustrates its pipeline using EnterpriseOps Gym, a dataset released by Malay et al. in 2026.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}