Most AI pilots die when you try to plug them into actual enterprise infrastructure. The agent works in testing, then you connect it to Salesforce or your ERP and everything breaks - or worse, it works but you have no idea why, and no way to debug it when it doesn't. Rule-free agents introduce problems rule-based automation never had: how do you test something that isn't deterministic? How do you deploy when you can't predict exactly what it'll do? How do you integrate with legacy systems that expect fixed inputs and outputs? And when something goes wrong in production, how do you even figure out what happened? This session walks through what actually changes when you move from scripted workflows to adaptive agents - and the engineering patterns that let you deploy them without creating a maintenance nightmare. Key takeaways: → Why integration with existing systems (CRM, ERP, databases) breaks - and patterns that actually work. → How to test and validate non-deterministic behaviour before production. → What monitoring and observability look like when agents make autonomous decisions. → Building systems that can fail safely and be debugged when they do.