AI holds immense potential to revolutionize government service delivery, but real transformation begins by starting with the end in mind.
In this week’s episode of Feds at the Edge, our experts explore how agencies can orchestrate AI with human oversight to modernize workflows, cut through operational friction, and manage risk responsibly.
Pamela Fusting of Tennessee kicks off the discussion by emphasizing that leaders must first pinpoint administrative pain points, target repetitive tasks backed by solid data, and refine core business practices before scaling. ServiceNow’s Chris Dilley highlights practical starting points like case summarization—low-risk, highly reversible applications where humans retain ultimate quality control over AI outputs. Weighing in from his federal experience, ServiceNow’s Jonathan Alboum warns against tool sprawl, advocating instead for streamlined processes, reduced complexity, and a laser focus on high-value workflows that deliver immediate, demonstrable results.
By prioritizing clear ROI metrics, iterative expansion, and cross-agency knowledge sharing, government leaders can turn early AI wins into a lasting foundation for modern public service.
Tune in on your favorite podcasting platform to hear how the path to successful AI adoption starts with solving real problems, proving value and building on what works.
To view this webinar: Orchestrate AI for Greatest Impact.
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