Governing the age of agentic AI: Balancing autonomy and accountability

Agentic AI represents a significant advancement beyond traditional automation, enabling autonomous systems that can adapt, connect with other systems, and influence critical business decisions in real time. This evolution promises substantial value, such as proactive customer issue resolution and dynamic application adjustments, but also introduces new risks related to autonomy, ethical considerations, and regulatory compliance. To mitigate these challenges, governance frameworks and transparency are essential, with low-code platforms emerging as a key solution by integrating oversight, governance, and compliance directly into the development process, thereby ensuring that autonomous AI systems align with strategic objectives while managing potential risks.