## Scaling agentic AI in the enterprise: Netomi's strategy Netomi is addressing the challenge of scaling agentic artificial intelligence systems within enterprises, leveraging the capabilities of advanced models like GPT-4.1 and GPT-5.2. The approach focuses on combining three key elements: concurrency, governance, and multi-step reasoning. Concurrency allows for handling a high number of requests simultaneously, while governance ensures that agents operate safely and in compliance with regulations. Multi-step reasoning enables agents to solve complex problems that require multiple steps. ## Reliable workflows The integration of these elements allows Netomi to create reliable production workflows. This is fundamental for companies that want to implement AI solutions on a large scale, ensuring that systems are able to handle high workloads and provide consistent results. The adoption of agentic systems based on LLMs is growing rapidly, as companies seek to automate processes and improve efficiency. However, scalability and reliability remain crucial challenges to address.