This blog explains the difference between AI ethics and AI governance, showing how responsible AI principles such as fairness, transparency, privacy, safety, accountability, and human oversight can be translated into practical policies, controls, workflows, and evidence. It outlines why governance matters as AI adoption grows, how organizations can manage risks, and how a structured approach helps teams build AI systems that are trusted, explainable, auditable and aligned with both enterprise goals and broader public-good outcomes.
AI workflows help OpenEdge developers turn single AI prompts into reliable multi-step processes using structured inputs, validation, tools, and control logic to safely integrate generative AI into real-world applications.
Businesses are moving toward agentic AI systems that learn, adapt and deliver results continuously. Are you ready to evolve your CMS from a publishing tool into a growth engine?