When all AI looks the same: how public sector teams choose the right tool
Granicus argues that public-sector teams need clearer decision frameworks to distinguish chatbots, copilots, and agentic systems when procurement and expectations blur. The core point is that picking the wrong category can create avoidable risk—especially when governance, data access, and human oversight requirements differ by tool type.
This affects governance, public-sector adoption, or professional risk decisions.
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