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AI integration has moved from experimental to operational across agency organizations, with the technology now deployed 'from the top to the bottom' according to observations from the DMBS Spring 2026 conference. This isn't about isolated use cases or pilot programs—agencies are systematically rebuilding workflows around AI capabilities, from strategic planning through execution and optimization. The speed of this transformation is remarkable, suggesting competitive pressure is forcing rapid adoption even as best practices remain emergent.
However, industry leaders like TransUnion's Spiegel are emphasizing that human oversight must serve as 'the governor on AI's engine,' acknowledging both the technology's power and its limitations. This balanced perspective is increasingly common as early AI implementations reveal both transformative potential and unexpected failure modes. Agencies are learning that AI augmentation requires new organizational structures, quality control processes, and client education—making the transformation as much about change management as technology deployment.