3 risks hindering enterprise-ready AI — and how low-code workflows help (www.techradar.com)

The article discusses the challenges facing enterprises in adopting agentic AI—intelligent systems capable of autonomously planning and executing tasks—with a focus on the risks of inadequate transparency, indeterminism, and blurred boundaries between data and AI. These issues hinder trust and safety, as organizations need clear audit trails and consistent outputs to ensure governance and compliance, especially when handling sensitive information. Without these assurances, enterprises often hesitate to implement agentic AI technologies. To address these risks, the piece advocates for using low-code workflows as a "safe layer" that separates agentic systems from direct data access. By implementing intuitive workflows, organizations can enhance transparency, establish clear governance, and enforce reusable processes, making the integration of agentic AI more manageable and secure. This approach not only boosts trust but also allows enterprises to leverage the full potential of agentic AI while safeguarding their data and enabling scalable operations.