Granicus will host a free webinar on Tuesday, September 8, 2026, from 2:00 to 3:00 p.m. ET, showing government agencies how to use AI-powered insights to turn data into better digital services. The session will cover how to identify breakdowns in digital experiences, turn fragmented data into prioritized actions, and measure progress over time.
Government agencies collect more data than ever, but disconnected systems, competing demands, and limited resources make it hard to act on that information. Turning raw information into clear priorities is a core Data Analysis skill, and this session shows how it applies to government work.
What the session will cover
Attendees will learn how to:
- Identify where digital experiences are breaking down
- Turn fragmented data into prioritized actions
- Focus resources on the improvements most likely to drive impact
- Measure progress and demonstrate outcomes over time
The session includes an inside look at Government Experience Insights (GXI) by Granicus, a product that uses AI to help agencies move from data collection to decision-making. The goal is to help agencies deliver more effective services for their communities.
For government staff who want to build on these ideas, Complete AI Training offers a dedicated AI for Government topic area with related courses.
Who is speaking
The webinar features four speakers:
- Santiago Arenas, Digital Media Supervisor, Collier County, Fla.
- Ashley Hill, Manager, Experience Partners, Granicus
- Hannah Burn, Product Director, Granicus
- Colleen Fueglein, Product Marketing Manager, Granicus
The event will take place on Zoom Webinar. Email nacomeetings@naco.org with registration or login questions.
Why this matters for government professionals
For government teams, the takeaway is practical: AI can help turn scattered data into a clear set of actions, and it can show which improvements matter most. Agencies that attend will leave with a method for measuring digital service improvements and a way to justify resource decisions to leadership.
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