Using AI, the county was able to cut across every record that a citizen might be part of, thus providing a more comprehensive picture of what the person may be going through. The goal was to provide a holistic approach to understand their residents better and therefore be better able to provide more targeted and meaningful remedies. With generative AI, that same county could summarize information for the various agencies serving the public and keep everyone informed.
By adding agentic AI, an individual could go online to inquire about certain benefits and programs and find themselves being asked questions to lead them to the right place. Going a step further, the agentic AI might suggest programs and services that the individual was unaware of or thought they were ineligible for. The system could ask, “Would you like me to help you fill out the application now?” Or it might state, “Are you aware that you are eligible for another program or service?”
This scenario can be accomplished without human intervention at any time of day or night, and in multiple languages if programmed accordingly. Instead of waiting for a prompt, agentic AI anticipates what the user is seeking and automatically guides them through a process, including the actual completion of a form or application. Of course, time-consuming, specialized and more difficult cases would be handled by humans.
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AI Agents Are More Than Simply Smart Tools
Agentic AI refers to systems that operate with a degree of autonomy, making decisions and taking actions on behalf of users within defined boundaries. Unlike traditional AI systems that analyze data or answer questions, agentic AI can initiate tasks, monitor for changing conditions and adjust its behavior to achieve desired outcomes.
Think of an intelligent agent that watches city infrastructure data in real time and automatically schedules preventive maintenance for a water pump before it fails. Or a system that monitors grant databases, drafts applications based on city needs and submits them when human reviewers give the green light. These aren’t just “smart tools”; they can be considered digital teammates. This isn’t science fiction. The building blocks of agentic AI already exist and are being tested in both private and public sector contexts. The shift is happening, but slowly and unevenly.
The appeal of agentic AI to government is straightforward: better service delivery with fewer resources. These systems can proactively address needs before they escalate; automate entire workflows (not just individual tasks); and provide consistency in high-volume, rules-based tasks.
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For example, instead of simply flagging building permits that are overdue, an agentic system might automatically reach out to applicants for missing information, conduct basic compliance checks and issue approvals once all conditions are met. That’s not just automation, that’s operations management at digital speed. These agents can operate 24/7, reducing the backlog of citizen requests; improving response times; and freeing up government employees to focus on tasks that require human judgment, empathy or creativity.
Done right, agentic AI enhances, not replaces, human roles. It can become a force multiplier for strained public teams.
Done wrong, agentic AI systems can have the opposite effect, eroding public trust, providing false and misleading information, and diminishing employee morale.
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