Savarese details how Salesforce has been pioneering AI for enterprise use long before the public AI boom, developing specialized large language models and foundational technologies like the Atlas Resolving Engine. Central to this vision is Agentforce, a platform enabling businesses to build AI agents with memory, decision-making capabilities, and access to real-time data through secure infrastructure. These agents are designed not to replace humans but to collaborate within complex workflows, enhancing productivity across departments. A major hurdle in scaling AI lies in breaking down data silos and ensuring governance, integration, and data readiness—challenges more pronounced in large enterprises than startups. To build trust and reliability, Salesforce uses enterprise-grade simulation environments that replicate CRM systems and customer interactions using synthetic data, allowing teams to test edge cases and refine agent behavior before deployment. Looking ahead, Savarese envisions a future where AI agents act autonomously on behalf of users, coordinating with one another across organizations, necessitating new standards for communication and interoperability in the agentic enterprise.