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As federal AI use cases surge—HHS alone reports a 64% increase—governance is becoming mission-critical. Geoff Browning of ServiceNow outlines a vision for an “AI Control Tower,” a centralized governance approach designed to help agencies scale AI responsibly. The premise is simple: the agencies that succeed aren’t the fastest movers—they’re the ones that establish guardrails first. The control tower model helps agencies answer tough questions: What can AI touch? What requires human oversight? How are risks tracked? How are assets managed across their lifecycle? Browning stresses that AI asset management becomes more complex with agentic systems and multi-cloud dependencies. He also highlights a sharp rise in demand for AI governance and data stewardship skills, underscoring the need for workforce development. Ultimately, agencies must measure value—testing, validating, and quantifying ROI. AI isn’t just about deployment; it’s about disciplined oversight that ensures security, compliance, and measurable mission impact.