AutoSynthData: Generating Training Data for Enterprise Agents
Enterprises need agents that work well in their own environments.
Key points
- A model may be broadly capable and still struggle with a particular environment: a workflow it handles poorly, a combination of tools it misuses, or a constraint it fails to respect.
- At ServiceNow CoreAI, we built AutoSynthData to turn those capability gaps into training data.
- We illustrate the pipeline with EnterpriseOps Gym (Malay et al., 2026), using the released dataset.
- We begin by describing the environment an agent operates in and what makes a task useful for training.
Sources (1)
- [1]AutoSynthData: Generating Training Data for Enterprise AgentsHugging Face Blog · Oct 2, 04:01 AM
Enterprises need agents that work well in their own environments.
A model may be broadly capable and still struggle with a particular environment: a workflow it handles poorly, a combination of tools it misuses, or a constraint it fails to respect.
Extractive summary: sentences quoted from the sources.