According to OpenAI, Netomi has shared insights on scaling agentic AI systems for enterprise deployment. The company’s approach centers on utilizing GPT-4.1 and GPT-5.2 models while emphasizing three core components: concurrency, governance, and multi-step reasoning.
Netomi’s framework focuses on creating reliable production workflows that can operate at enterprise scale. According to the source, the implementation combines these OpenAI models with structured processes designed to handle the complexity and compliance requirements typical of large organizations.
The approach addresses key challenges in moving AI agents from experimental deployments to production environments where reliability, security, and regulatory compliance are critical. By integrating governance mechanisms alongside the technical capabilities of advanced language models, Netomi aims to provide a blueprint for other enterprises looking to deploy agentic systems.
The disclosure highlights the practical considerations companies face when implementing AI agents beyond pilot projects, including the need for systems that can handle multiple concurrent operations while maintaining oversight and control mechanisms required in regulated business environments.