NYXN's Forge: Scaling Agentic AI for Banking Core Modernization

NYXN has developed a new method called Forge to help companies adopt AI agents while maintaining control over security, costs, and results. This approach combines business context, governance, observability, and human oversight. What's interesting is that this methodology is being used to modernize a banking core. This project is estimated to take 11 months with 12 people and 47 AI agents, significantly reducing the development timeline from an original three years. NYXN specializes in the enterprise adoption of agentic AI in Latin America. They highlight that AI agents can connect to enterprise systems, use tools, and execute workflows across multiple stages, which is a key difference from generative AI. The banking core they are modernizing has over 2,000 stored procedures, each with about 14,000 lines of code developed over 15 to 20 years. AI agents can process this large volume of information to help understand and transform the existing system. The bottom line is that this new methodology aims to help businesses capture productivity gains from AI without creating new risks.