Salesforce Agentforce Data Readiness: Why AI Agents Fail Without It?

Why do AI agents fail in Salesforce, even when Agentforce is correctly implemented? According to Salesforce’s own AI leadership, the answer is clear: data readiness. In this on-demand webinar video, Irina Gutman, VP, Forward Deployed Engineering at Salesforce, shares firsthand insights from deploying AI and Agentforce in real enterprise environments. She is joined by Atul Sharma, VP, Salesforce Practice at Grazitti Interactive, who brings an implementation and scaling perspective from complex Salesforce programs. Together, they explain why data readiness is the most underestimated risk when scaling Salesforce Agentforce across the enterprise, and why many AI agent initiatives fail despite strong models and tooling. Rather than generic data quality theory, this session dives into Salesforce-specific data realities that directly impact AI agent performance and trust, including: What “data readiness” actually means for Salesforce Agentforce? Why is embedded, real-time Salesforce data critical for AI autonomy? Common Salesforce data governance gaps that block AI adoption. How poor data architecture erodes trust in AI agents? This video is essential for leaders responsible for Salesforce data architecture, AI governance, and enterprise AI strategy. Follow our Social Accounts: Instagram: https://www.instagram.com/grazitti_interactive LinkedIn: https://www.linkedin.com/company/grazitti-interactive Twitter: https://twitter.com/grazitti Facebook: https://www.facebook.com/grazitti.interactive #agentforce #salesforce #AI #Pilots #agents #data #CRM #automation #agentic #enterprise