Building AI systems with governance in mind is no longer optional, it’s a necessity. This session explores technical strategies for embedding governance directly into AI workflows. From data provenance and auditability to algorithmic transparency and bias detection, discover how to create systems that are trustworthy by design. Hear from technical leaders who have successfully integrated governance policies into their AI ecosystems, ensuring accountability without compromising innovation. Learn practical implementation techniques to align governance frameworks with business objectives, automate compliance processes, and scale governance effectively across enterprise operations.