Public sector leaders across government, education, and healthcare are no longer asking whether to adopt generative AI and cloud technologies—they’re asking how to do it efficiently, responsibly, and at scale.
Presidio works with public agencies and education entities nationwide to bridge the gap between innovation and operational impact. In recent conversations with agency leaders, several consistent themes have emerged: the need to modernize legacy systems, navigate budget constraints, and build internal capabilities that can sustain long-term transformation.
Here are four key trends we’re seeing as public organizations turn their generative AI ambitions into action.
1) Closing the AI Readiness Gap
Public sector interest in generative AI is surging, but so is caution. Many agencies have adopted foundational cloud infrastructure but still feel unprepared to integrate AI into production systems. As AWS announced a $30 billion investment to build AI infrastructure and continues to expand services like Amazon Bedrock and Amazon SageMaker, one question is rising to the surface: Are our applications ready?
That’s why agencies are turning to tested, scalable AI methodologies that fit their unique environments—like Presidio’s Human-AI (HAI) approach. Designed to accelerate AI adoption without disruption, HAI gives teams code-level visibility into their legacy environments—helping them understand existing code, identify what needs to change, and prioritize modernization. It works alongside human engineers to more efficiently analyze existing codebases, generate documentation, comment and annotate legacy systems, and support modernization efforts in weeks instead of years. In some cases, HAI has helped agencies shave a year or more off their timelines.
For some, generative AI readiness means evolving out of decades-old databases. For others, it’s about creating entirely new experiences, such as AI-powered student services or constituent engagement tools. We’re helping agencies narrow the scope of their early efforts, pinpoint where AI can drive early impact, and demonstrate AI value early without overextending resources.
2) Bringing Mission-Ready AI Solutions to the Public Sector
In conversations across the public sector, one question keeps recurring: We’ve seen the potential of AI, and now we need to see how it can work in our environment.
To help bridge that gap, real-world solutions like Captivate, an AI-powered accelerator originally designed for media and sports, are finding new traction in higher education and public safety. Whether used to enhance campus security, track NIL engagement, or improve student services, Captivate reflects a broader shift in how agencies are thinking: tailoring AI solutions to meet mission needs beyond traditional industry categories.
This ability to tailor solutions across different industries reflects a larger shift within Presidio. In line with AWS’s public sector go-to-market structure, Presidio has invested heavily in verticalization, aligning teams with specific industries like healthcare, education, and SLG. That structure is already strengthening collaborations with AWS field teams and industry leaders, creating clearer pathways to innovation for customers.
3) Building Responsible AI With the Right People and Partners
Increasingly, public sector conversations are moving beyond traditional data management, to focus on the need for clear, ethical frameworks that guide AI adoption. Public sector leaders want to establish the right guardrails to ensure compliance—without stalling growth.
Today, leaders are asking hard questions:
• How can we make sure our data is compliant?
• Are our teams ready to manage AI systems? How do we scale safely without slowing down?
Presidio’s AI approach tackles both challenges head-on. Our engagements combine modernization and AI integration with hands-on enablement, helping agencies build the internal skills they need to operate and evolve their environments. From readiness workshops to collaborative implementation, we support the full arc of transformation with strong guardrails and shared ownership. Another differentiator is that many of our team members have served in public sector roles themselves. That experience gives them firsthand insight into the complexity, constraints, and mission urgency agencies face.
4) Stretching Budgets, Sustaining Impact
Budget pressures, uncertainty, and legacy constraints are familiar concerns in the public sector. At the same time, agencies are being asked to deliver better, faster, and more personalized services. From education to public health to digital identity, leaders are asking how AI and cloud can help them do more with less.
Presidio’s approach starts with the mission. Whether it’s helping a city agency modernize constituent engagement or a university unlock new learning models, Presidio customizes cloud strategies to what organizations are trying to achieve, not just what tools are available. That includes helping customers identify AI-ready workloads, right-size environments, and track post-migration performance without overcommitting resources or derailing operations.
The Bottom Line: Aligning Vision With Infrastructure and Action
Success with generative AI requires more than curiosity and experimentation—it requires clear alignment between vision, infrastructure, and application readiness. Public sector agencies are looking for trusted partners who can help them modernize securely, deploy faster, and demonstrate value early.
Presidio’s purpose-built solutions like HAI and Captivate, coupled with deep industry-specific expertise, are helping agencies take the next step with confidence. Whether supporting education, government, or healthcare transformation, our team brings real-world public sector experience to every engagement.
As agencies continue evolving their AI strategies in 2025 and beyond, Presidio remains focused on helping them modernize with intention, govern responsibly, and deliver real results—one step at a time.
Want to learn more about Gen AI solutions at Presidio? Contact us today.
Mike Baur
