From prototype to production: Why agent evaluations matter
AI agents are changing how organizations automate work. Unlike traditional automation, agents can interpret context, generate responses, use tools, and make decisions dynamically. That flexibility is what makes agents so powerful, but it also raises an important question: How do you know your agent is performing as intended? A successful demo is a great start, but real-world environments are far more dynamic. Agents can support a wide range of user requests, business data, tools, and workflows, making it important to evaluate performance across representative scenarios. That's where agent evaluations (now generally available in Nintex Workflow), come in. What are agent evaluations? Agent evaluations provide a structured way to assess and measure agent performance. Rather than relying on ad hoc testing or subjective opinions, teams can define what success looks like, create representative test cases, run evaluations, and review results against consistent criteria. With an evaluation fra
