How to Chart a Clear Course for AI Adoption in Your Organization

Diving Into AI SPONSORED BY

A GOVERNMENT TECHNOLOGY THOUGHT LEADERSHIP PAPER

Throughout the public sector, AI use is growing.

It’s helping governments solve problems, expand capacity and increase responsiveness, especially at the state and local levels. In education, AI makes individualized learning possible while improving administrative tasks.

“No matter the size of your organization, AI offers operational improvements at a minimum,” says Dan Gohl, chief technology and strategy officer for U.S. education at HP.

But implementing AI isn’t as simple as writing a few lines of code or integrating a third-party provider’s solutions. It requires a thoughtful strategy. By identifying what solutions are needed, preparing environments and making careful decisions, organizations can safely take the next step in their AI journey.

AI Types and Use Cases to Guide Adoption

Broadly speaking, today’s AI systems fall into three main categories:

1. Machine-to-human connections such as ChatGPT and Microsoft Copilot.

2. Machine-to-machine connections, where machines interact with each other to perform human-centered tasks.

3. Human-to-machine connections, where a human builds and trains an AI model for a specific use, such as a predictive AI model that optimizes annual budget forecasting.

AI consumption will vary based on which of these three approaches — or combination of them — that your organization takes. Identifying the AI systems you’ll use will help you develop more effective, AI-ready infrastructure.

Early in their AI journey, organizations must identify key use cases so everyone agrees with how the technology will be used.

Common use cases include:

■ Live language translation for public meetings

■ Summarization of large documents

■ Lesson planning assistance for teachers and professors

■ Personalized learning paths for individual students

■ Data collection optimization for case management, water and energy resource management, and other applications

“No matter the size of your organization, AI offers operational improvements at a minimum.” — Dan Gohl, Chief Technology and Strategy Officer for U.S. Education, HP

2

Building the Infrastructure and Skills for Success

Different organizations are at various stages in their AI journey, which is why it’s crucial for them to assess their current AI technology stack and capacity for growth.

“Evaluate your existing IT capabilities against the use cases you want to use AI for,” says Lenny Isler, a business development manager for data science and AI advanced compute and solutions at HP.

To accelerate AI deployment, organizations must address:

1. AI consumption: What applications will you use and where? By deter- mining what machines and how many will be needed, organizations can better prepare for success.

2. Data storage capacity: Data fuels AI. Where will your data be stored? For how long? How will it be organized and safely accessed?

3. Legacy infrastructure: How will processes be replaced? What operations will change or modernize as a result? Identify new efficiencies you’d like to achieve.

4. Network bandwidth: What kind of power will it take to support your AI initiatives? What changes do you need to make? Organizations that are fully prepared to deploy AI will see fewer roadblocks and delays.

5. Security: Do you have the security posture to mitigate risks and protect sensitive information? The right strategies will also improve trust in your organization.

Additionally, an AI-ready infrastructure requires high-performance workstations to handle advanced functions. Such workstations feature advanced processors, large memory configurations, discrete graphical processing units and advanced neural processing units.1 This technology enables a range of improvements such as faster document summarization, better collection of public input and streamlined case management.

Consulting and partnering with experts in AI infrastructure such as cloud services and hardware providers can help organizations identify outdated tools and address gaps that hinder their AI readiness.

“Evaluate your existing IT capabilities against the use cases you want to use AI for.”

— Lenny Isler, Business Development Manager for Data Science and AI Advanced Compute and Solutions, HP

3

In building a strong AI infrastructure, equipment is only one element. Education and training must be available for everyone, including executives, elected officials and administrative staff. Governments must also empower their workforces to use them effectively.

“Everyone needs an informed, appropriate understanding of what AI is, what it can do and what the options are moving forward,” Gohl says.

Safe, Ethical and Sustainable Deployment

As organizations deploy AI, they’ll need to better protect the sensitive data that powers the technology. They’ll also need to safeguard AI systems from a growing range of advanced threats such as adversarial attacks or model manipulation.

To keep their initiatives safe and sustainable, organizations must consider:

1. Where to store and activate data: Organizations can use the cloud or store information locally. Different workloads will have different requirements, but keeping data local whenever possible will ensure better protection and cost efficiency.

2. Device lifecycle management: “It’s not just about what you’re using today,” Isler says. “Think about the lifecycle of the device. Is it going to be able to manage AI and machine learning for five years? It’s important to plan ahead so you can maximize your resources.”

3. Responsible, transparent AI practices: People are more likely to embrace AI if they see it being used ethically to help them. This approach also reduces the likelihood of bias or inequitable outcomes.

4. Work across departments and communities: Diverse perspectives and experiences drive better results while promoting collaboration.

The AI era presents immense potential for public agencies and education institutions — but realizing its benefits requires more than just adopting new tools. It calls for strategic planning, cross-departmental collaboration, robust infrastructure and a clear understanding of organizational goals. With the right approach, AI won’t just be a technological upgrade. It will be a transformative force that enhances public service, learning outcomes and community impact.

4

“Everyone needs an informed, appropriate understanding of what AI is, what it can do and what the options are moving forward.” — Dan Gohl, Chief Technology and Strategy Officer for U.S. Education, HP

Produced by Government Technology Government Technology is about solving problems in state and local government through the smart use of technology. Government Technology is a division of e.Republic, the nation’s only media and research company focused exclusively on state and local government and education.

www.govtech.com

This piece was written and produced by the Government Technology Content Studio, with information and input from HP Z.

1. reinvent.hp.com/AIforGovernment

Sponsored by: HP Inc. For decades, HP has been a trusted technology partner around the world. The HP Z Workstations & Solutions portfolio offers high-performance laptops, desktops and solutions designed to accelerate demanding workflows.

https://discover.hp.com/aiforgovernment#HPZ

IMAGES PROVIDED BY HP ©2025 e.Republic LLC. All rights reserved.

https://reinvent.hp.com/AIforGovernment https://discover.hp.com/aiforgovernment#HPZ