Live Online Webinar

From AI Policy to AI Impact: A Practical Roadmap for Local Government

From AI Policy to AI Impact: A Practical Roadmap for Local Government

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Most local governments are no longer asking whether staff will use AI. They are asking how to make that use safe, visible, consistent, and useful.

A signed AI policy is an important first step, but real impact requires more: clear guardrails, practical training, trusted tools, and evidence that AI is improving work without adding risk.

Drawing on GovAI platform data from more than one million government AI prompts and lessons from 150+ municipal deployments, this session offers a practical roadmap for moving from policy to operational impact. We will explore what AI adoption actually looks like inside local government, where policies tend to break down, and how leaders can build safe, confident, everyday use across departments.

Key Takeaways

  • Where government AI actually is: How to understand current AI use across departments, including informal adoption and shadow AI.
  • AI policy that works in practice: What makes a policy usable, enforceable, and supportive of safe staff behavior.
  • AI Use cases that make an impact: Why onboarding, real workflows, and department-specific use cases drive stronger adoption than access alone.
  • Measuring what matters: How to move beyond logins and track impact leaders can act on, including time saved, risk reduced, dollars saved and work completed.

Attendees will leave with a clearer path for turning AI policy into daily practice that staff can use, IT can oversee, and leadership can explain with confidence.

 

This webinar is complimentary thanks to the sponsorship of ICMA Partner GovAI, who will have access to registration information. 

PRACTICE AREAS: [4] Staff Effectiveness, [8] Policy Facilitation and Implementation, and [11] Technological Literacy

TOPICS: Technology and Data Management

JOB TITLES: Chief Administrative Officer (CAO), Assistant Chief Administrative Officer (ACAO), Department Head, Mid-Management and Entry-Level Staff, and Student and Intern

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