Netomi's approach to scaling agentic systems involves combining concurrency, governance, and multi-step reasoning. This allows their AI agents to handle complex tasks in enterprise environments using GPT-4.1 and GPT-5.2 models. Concurrency enables multiple tasks to be processed simultaneously, while governance ensures that the system operates within predetermined parameters. Multi-step reasoning facilitates decision-making by considering various factors. Netomi's solution is designed for reliable production workflows. --- Why it matters: This matters because it provides insights into scaling agentic systems, which are essential for large-scale enterprise applications. Engineers can learn from Netomi's approach to designing and implementing complex AI agents that handle multiple tasks simultaneously. Source: https://openai.com/index/netomi