Enterprise agents require environment-specific training
Enterprises need agents that work well in their own environments—shaped by their systems, rules, and data state. A broadly capable model may still struggle with specific workflows, tool combinations, or constraints unique to that environment.
Supporting evidence
AutoSynthData: Generating Training Data for Enterprise Agents
Original excerpt
Enterprises need agents that work well in their own environments. The work they ask these agents to do is shaped by the systems they use, the rules they follow, and the state of their data. 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. Those are the weaknesses an enterprise needs to improve.