​​Agentic AI: Is it the Next Step in Government AI Adoption and Moving Beyond Automation​?

​​Agentic AI: Is it the Next Step in Government AI Adoption and Moving Beyond Automation​?

Author: Government Technology Insider October 15, 2025 Duration: 10:02

Artificial Intelligence (AI) has already touched nearly every corner of the public sector. Agencies are using it to power chatbots that answer citizen questions and predictive analytics that help leaders anticipate failures and issues. These early applications are reshaping how government operates, improving efficiencies, and opening the door to new innovations. Yet according to experts, the story is only just beginning. A new wave of AI is emerging in government that is taking operations beyond automation. This is agentic AI.

The questions facing leaders now are critical. What does agentic AI mean for agencies? And how can government move from small-scale experiments to mission-driven outcomes that deliver lasting value? In the latest episode of the Government Technology Insider Podcast, host Lucas Hunsicker speaks with Katie Tierney, Area Vice President of the Americas at BMC Helix. Drawing on more than three decades in technology, Tierney unpacks both the opportunities and the roadblocks that lie ahead for government AI.

Despite having a presence in most agencies, the extent of AI adoption is uneven. While some agencies are experimenting with automation or deploying chatbots, others are only beginning to explore AI’s potential. Success often comes down to skills, governance, and data readiness, and without those, many projects fall short. Tierney cited a recent MIT study that found 95 percent of AI initiatives fail to deliver measurable value. Too often, AI is treated as a shiny tool rather than part of a broader shift in technology and society.

For agencies determined to be in the successful five percent, Tierney highlights several essentials. Start with purpose. Ensure data is prepared and governed. Keep humans in the loop. And build momentum with incremental projects rather than chasing sweeping initiatives that rarely succeed.

The payoff is significant. Agentic AI can free employees from repetitive tasks, allowing them to focus on higher-value, mission-critical work. It can also help agencies become more resilient and adaptive, while making government more attractive to the next generation of talent. Citizens stand to gain as well, through faster services, smarter policies, and stronger connections to the agencies that serve them.

Agentic AI is more than technology. It represents a new way of approaching governance, service delivery, and the relationship between agencies and the people they serve. This is an opportunity for better outcomes for citizens, stronger connections between government and communities, and a modern workforce empowered by smarter tools.


Ever wonder what really happens when a new software platform gets rolled out across a state agency, or how a city decides which cloud provider to trust with its data? The Government Technology Insider Podcast pulls back the curtain on those exact processes. This isn't about theoretical futures; it's a grounded look at the actual work of modernizing public sector systems. Each conversation goes straight to the source, featuring the people who are navigating procurement, implementing security protocols, and managing the day-to-day realities of tech adoption within government frameworks. You'll hear firsthand accounts about the strategic choices that succeed, the unexpected hurdles that arise, and the practical solutions that make a difference. The discussions are candid and detailed, focusing less on hype and more on the tangible lessons learned from recent projects and initiatives. For anyone curious about the real intersection of civic duty and digital innovation, this podcast provides an essential, on-the-ground perspective. Tune in for a clear-eyed view of how technology is being woven into the fabric of government missions, one challenge and one victory at a time.
Author: Language: English Episodes: 100

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