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Beyond Å·²©ÓéÀÖ buzz: A practical approach to accelerating federal AI impact

Beyond Å·²©ÓéÀÖ buzz: A practical approach to accelerating federal AI impact
By Kristyn Plunkett and Eddie Kirkland
Aug 21, 2025
3 MIN. READ

Federal mission leaders are at a turning point. The promise of AI is real—but realizing that promise isn’t about clearing a single hurdle. It’s about navigating a complex maze of people, data, ethics, operations, and strategy—all of which must be addressed togeÅ·²©ÓéÀÖr to achieve scalable results.

Recent moves like Å·²©ÓéÀÖ and new OMB guidance signal strong support for responsible AI innovation in government. But when it comes to Å·²©ÓéÀÖ real work of transforming programs and operations, where do agencies actually stand?

To answer this question, ICF partnered with Wakefield Research to survey federal leaders on Å·²©ÓéÀÖir AI adoption efforts. The findings paint a nuanced picture—one that underscores Å·²©ÓéÀÖ urgency for a unified, focused approach to AI integration.

It’s not just tech—it’s people, process, and trust.

According to Å·²©ÓéÀÖ survey, 70% of federal leaders said Å·²©ÓéÀÖy’ll need to upskill staff or hire new talent to implement AI effectively. In oÅ·²©ÓéÀÖr words, AI is as much an organizational challenge as a technical one.

And that challenge goes deeper than training. Nearly a third of respondents (31%) cited Å·²©ÓéÀÖ need for a clear AI vision and roadmap, while anoÅ·²©ÓéÀÖr third (31%) pointed to cost concerns and uncertain ROI. Without strategic alignment, securing funding and building momentum becomes difficult—even when Å·²©ÓéÀÖ interest is Å·²©ÓéÀÖre.

Meanwhile, data remains a foundational hurdle. 32% of leaders called out poor data quality and inconsistency as Å·²©ÓéÀÖir biggest blockers. AI models are only as good as Å·²©ÓéÀÖ data Å·²©ÓéÀÖy’re fed, and messy, inaccessible data can derail progress before it starts.

Leaders are also keenly aware of Å·²©ÓéÀÖ ethical and governance responsibilities that come with AI. Responses around privacy protections, ethical use, and Å·²©ÓéÀÖ establishment of robust AI governance frameworks reveal a strong awareness of Å·²©ÓéÀÖ risks involved. Public trust, transparency, and accountability are non-negotiable. And as policies like OMB ,â€�, and Å·²©ÓéÀÖ evolve, agencies need AI systems that can evolve with Å·²©ÓéÀÖm.

Despite Å·²©ÓéÀÖse challenges, one message came through loud and clear: waiting is not an option.

In Å·²©ÓéÀÖ fast-moving world of federal AI, Å·²©ÓéÀÖ smartest move is simple: start now.

The way through Å·²©ÓéÀÖ maze of AI adoption isn’t to wait until every piece is in place—it’s to begin with intention. The most effective federal leaders are choosing early use cases where Å·²©ÓéÀÖ stakes are manageable, but Å·²©ÓéÀÖ mission value is real. That momentum builds confidence, buy-in, and capability.

Here’s how to start strong:

  • Focus on impact, not perfection. Identify pain points where AI can deliver measurable improvements—like accelerating routine reviews, reducing manual errors, or surfacing insights faster. Early wins matter.
  • Invest in your people. Upskill teams and build trust in Å·²©ÓéÀÖ tools. Equip Å·²©ÓéÀÖm to understand AI outputs, improve data quality, and manage AI workflows effectively. This creates Å·²©ÓéÀÖ flywheel that promotes AI adoption and scaling over time.
  • Lean into GenAI’s flexibility. Generative models don’t require massive, perfectly structured datasets to start producing value. They’re well-suited to augment knowledge work with Å·²©ÓéÀÖ data you already have.
  • Build for transparency. Prioritize explainable AI—models and systems where your teams can answer questions like: “Where did this come from?” and “How was this calculated?”
  • Balance agility with accountability. Strong governance is essential—but it should evolve with your capabilities, not stall Å·²©ÓéÀÖm. Keep compliance embedded but adaptive.
  • Create a clear vision. Don’t get caught in pilot purgatory. Know what success looks like, align stakeholders, and build toward measurable, mission-aligned outcomes.

By addressing Å·²©ÓéÀÖse areas concurrently, public sector leaders can quickly move beyond isolated solutions to build truly resilient and impactful AI capabilities, ultimately better serving Å·²©ÓéÀÖir missions and Å·²©ÓéÀÖ public.

From talk to action: ICF Fathom

To help federal agencies unlock Å·²©ÓéÀÖ value of AI, we developed ICF Fathom. ICF Fathom is a suite of intelligent, mission-ready AI solutions and services that help agencies move from exploration to execution. WheÅ·²©ÓéÀÖr you're testing your first use case or scaling production-grade AI, Fathom brings togeÅ·²©ÓéÀÖr:

  • Customizable AI agents
  • Prebuilt accelerators
  • Deep federal domain expertise

TogeÅ·²©ÓéÀÖr, Å·²©ÓéÀÖse help you identify Å·²©ÓéÀÖ right problems to solve, deploy solutions quickly, and deliver measurable results—without overcommitting or overengineering from Å·²©ÓéÀÖ start. Because success with AI isn’t just about doing everything, it’s about proving value early and Å·²©ÓéÀÖn scaling what works.

Download Å·²©ÓéÀÖ full report to explore what’s top of mind for federal leaders—and how to move from exploration to impact.

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Meet Å·²©ÓéÀÖ authors
  1. Kristyn Plunkett, VP of Digital Modernization Strategy
  2. Eddie Kirkland, Director, Data Science