AI agents improve their performance through feedback, business rules, updated instructions, memory, and workflow adjustments rather than always retraining the underlying AI model. Business rules define approved actions, conditions, priorities, and escalation paths, while feedback helps identify errors and improve future responses. Developers can refine prompts, knowledge sources, tools, and decision logic based on observed outcomes. Monitoring and evaluation help maintain consistent performance over time.
At Osiz Technologies, we develop AI agents that incorporate business rules, feedback, and continuous optimization.