Why Agentic AI Success Depends on Data Governance

eClerx head of global technology Sanjay Kukreja joins Mike Vizard to discuss why many agentic AI challenges are rooted less in models and more in data governance, process debt and weak controls. They examine why pilots can look successful on limited data sets but fail when moved into production environments that depend on real-time data, integrations and downstream systems. Kukreja explains why CIOs, CDOs, CTOs and chief AI officers need shared governance, risk assessment and guardrails before scaling AI agents across the enterprise.