At Dreamforce, Paul Tatum, executive vice president of global public sector solutions at Salesforce, joins theCUBE’s Gemma Allen and George Gilbert to unpack how AI and agents are moving from experiments to mission impact in government. Tatum explains why agencies are leaning in responsibly – spurred by recent U.S. AI directives and RFPs/RFIs that now mandate AI capabilities – while still insisting on standards, compliance and security. He shares real-world citizen-service pain points (think CMS.gov/IRS.gov “help” pages and 4,000-page Medicare/Medicaid policy PDFs) and how Agentforce plus large language models can read policies, ground responses and augment overworked civil servants for faster, more consistent adjudication, always with a human in the loop. The discussion explores Salesforce’s approach to scaling the “agentic enterprise” in the public sector: start from existing systems of record on Salesforce and surround them with agents, use Data Cloud’s “zero-copy” data fabric to harmonize siloed information without multi-year migrations, and prioritize trust and governance with FedRAMP accreditation covering the full Agentforce stack, Data Cloud and the trust layer, including SLAs for vulnerability remediation. Tatum predicts the government will become the largest user of agentic technology because public policies are published and machine-readable, making this a compelling arena to measure what’s production-ready, how adoption happens internally vs. externally, where approvals remain essential and where early automation can relieve backlogs before tackling edge cases.