AI Governance for Modern Software Delivery

As AI capabilities become embedded in software delivery processes, governance is emerging as a critical engineering and operational requirement. The article examines how development teams can manage risks associated with AI-assisted coding, automated decision-making, compliance obligations, and software quality assurance. It highlights the importance of governance frameworks that combine security controls, human oversight, testing standards, and accountability across the development lifecycle. Technology leaders should approach AI governance as a foundational software engineering discipline that shapes delivery resilience, compliance readiness, and long-term operational trust.